Publications (The accepted and published works may not be duplicated or distributed!)

          Thesis

 Mukherjee, A. (2009). Self-Organization of Speech Sound Inventories in the Framework of Complex Networks, Doctoral Thesis, Indian Institute of Technology, Kharagpur, Full thesis (pdf), synopsis (pdf, slides)

          Books/Edited Volumes

  1. Mukherjee, A., Kulshrestha, J., Chakraborty, A., and Kumar, S. (2023). Ethics in Artificial Intelligence: Bias, Fairness and Beyond., Springer Singapore, ISBN: 978-981-99-7183-1., (online version).

  2. Mukherjee, A. (2023). AI and Ethics: A Computational Perspective., IOP eBooks, ISBN: 978-0-7503-6116-3, (online version).

  3. Mukherjee, A., Choudhury, M., Peruani, F., Ganguly, N., and Mitra, B. (eds.) (2013). Dynamics on and of Complex Networks Volume 2: Applications to Time-varying Dynamical Systems, Birkhauser, Springer, Boston, ISBN: 978-1-4614-6728-1.

  4. Mukherjee, A., Choudhury, M., Hassan, S., and Muresan, S. (eds.) (2011). Editorial: Network Models for Cognitive and Social Dynamics of Language, Computer Speech and Language, 25(3), 635--638.
    The articles in this issue can be found here: Computer Speech and Language, Volume 25, Issue 3 under the head "special issue papers".

  5. Ganguly, N., Deutsch, A., and Mukherjee, A. (eds.) (2009). Dynamics on and of Complex Networks: Applications to Biology, Computer Science, Economics, and the Social Sciences, Birkhauser, Springer, Boston, ISBN: 978-0-8176-4750-6 http://www.springer.com/birkhauser/computer+science/book/978-0-8176-4750-6

    Journals and book chapters

  6. Bechtold, S., Frankenreiter, J, Dash, A., Chakraborty, A., Ghosh, S., Mukherjee, A., Gummadi, K. P. (2024) Antitrust, Amazon, and Algorithmic Auditing, Journal of Theoretical Economics, (28), 319-346.

  7. Chowdhury, A., Srinivasan, S., Mukherjee, A., Bhowmick, S. and Ghosh, K. (2024). Improving Node Classification Accuracy of GNN through Input and Output Intervention. In ACM TKDD, 18(1), 1--31.

  8. Saha, P., Garimella, K., Kolam, N., Pandey, S., Meher, P., Mathew, B., and Mukherjee, A. (2023). On the rise of fear speech in online social media. In PNAS, 120 e2212270120
    Media Coverage: New York Times.

  9. Nag, A., Samanta, B., Mukherjee, A., Ganguly, N. and Chakrabarti, S. (2023). Transfer Learning for Low Resource Multilingual Relation Classification. In ACM TALLIP, 22(2), 1--24.

  10. Hazra, R., Singh, M., Goyal, P., Adhikari, B. and Mukherjee, A. (2023). Modeling interdisciplinary interactions among physics, mathematics and computer science. In Journal of Physics: Complexity, 4(4), 045001.

  11. Das, M., Dash, A., Jaiswal, S., Mathew, B., Saha, P and Mukherjee, A. (2022). Platform Governance: Past, Present and Future. In GetMobile: Mobile Computing and Communications, 26(1), 14--20.

  12. Chowdhury, A., Srinivasan, S., Bhowmick, S., Mukherjee, A. and Ghosh, K. (2022). Constant Community Identification in Million Scale Networks. In Journal of Social Network Analysis and Mining (SNAM), 12 (70).

  13. Adak, S., Chakraborty, S., Das, P., Das, M., Dash, A., Hazra, M., Mathew, B., Saha, P., Sarkar, S. and Mukherjee, A. (2022). Mining the Online Inphosphere: A survey. In WIREs Data Mining and Knowledge Discovery journal, 12(5), e1453.

  14. Dash, A., Chakraborty, A., Ghosh, S, Mukherjee, A. and Gummadi, K. (2022). FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms. In IEEE TCSS, 10(3), 1301--1313.

  15. Sarkar, S., Bhagwat, A. and Mukherjee, A. (2021). A core-periphery structure based network embedding approach. In Journal of Social Network Analysis and Mining (SNAM), 12(32), 1--12.

  16. Das, M., Mathew, B., Saha, P., Goyal, P. and Mukherjee, A. (2020). Hatespeech in online social media. In ACM SIGWEB Newsletters, 4:1--8.

  17. Sikdar, S., Mukherjee, A. and Marsili, M. (2020). Unsupervised Ranking of Clustering Algorithms by INFOMAX. In PLoS ONE, 10:e0239331.

  18. Singh, M., Pandey, P. K., Goyal, P., Mukherjee, A. and Chakrabarti, S. (2020). Analysis of Reference and Citation Copying in Evolving Bibliographic Networks. In Journal of Informetrics, 14(1), 101003.

  19. Jana, A., Mukherjee, A. and Goyal. P. (2020). Network Measures: A New Paradigm Towards Reliable Novel Word Sense Detection. In Journal of Information Processing and Management, 57(6), 102173.

  20. Maity, S. K., Panigrahi, A., and Mukherjee, A. (2018). Analyzing Social Book Reading Behavior on Goodreads and how it predicts Amazon Best Sellers. In Influence and Behavior Analysis in Social Networks and Social Media (LNSN), Kaya, M. and Alhajj R. (eds.), Springer, ISBN: 978-3-030-02592-2.

  21. Sarkar, S., Kumar, S., Bhowmick, S. and Mukherjee, A. (2018). Centrality and Community Scoring Functions in Incomplete Networks: Their Sensitivity, Robustness, and Reliability. In Machine Learning Techniques for Online Social Networks, Ozyer T. and Alhajj R. (eds.), Springer, 135--154, ISBN: 978-3-319-89931-2.

  22. Maity, S. K., Kharb, A. and Mukherjee, A. (2018). Analyzing Linguistic Structure of Question Texts to Characterize Answerability in Quora. IEEE Transactions on Computational Social Systems, 5(3), 816--828.

  23. Sarkar, S., Sikdar, S., Bhowmick, S. and Mukherjee, A. (2018). Using Core-Periphery Structure to Predict High Centrality Nodes in Time-Varying Networks, Data Mining and Knowledge Discovery Journal (ECML-PKDD 2018 journal track), 32(5), 1368--1396.

  24. Sikdar, S., Tehria, P., Marsili, M., Ganguly, N. and Mukherjee, A. (2018). On the effectiveness of the scientific peer-review system: a case study of the Journal of High Energy Physics, International Journal on Digital Libraries, DOI, 1--15.

  25. Chakraborty, T., Dalmia, A., Mukherjee, A. and Ganguly, N. (2017). Metrics for community analysis: A survey. ACM Computing Surveys, 50(4), 54:1--37.

  26. Bodych, M., Ganguly, N., Krueger, T., Mukherjee, A., Siegmund-Schultze, R. and Sikdar S. (2017). Threshold-based epidemic dynamics in systems with memory. Europhysics Letters, 116(4), 48004(1--5).

  27. Sur, S., Ganguly, N. and Mukherjee, A. (2016). Brokerage based attack on real world temporal networks. Journal of Network Science, 4(4), 446--459.

  28. Singh, M., Chakraborty, T., Mukherjee, A. and Goyal, P. (2016). Is this conference a top-tier? ConfAssist: An assistive conflict resolution framework for conference categorization. Journal of Informetrics, 10(4), 1005--1022.

  29. Chakraborty, T., Srinivasan, S., Ganguly, N., Mukherjee, A. and Bhowmick, S. (2016). Permanence and Community Structure in Complex Networks. ACM TKDD, 11(2), 14:1--14:34. (Included in ACM's 21st Annual Best of Computing)

  30. Chakraborty, T., Kumar, S., Ganguly, N., Mukherjee, A. and Bhowmick, S. (2016). GenPerm: A Unified Method for Detecting Non-overlapping and Overlapping Communities. IEEE TKDE, 28(8): 2101--2114.

  31. Sikdar, S., Ganguly, N., Mukherjee, A. (2016) Time series analysis of temporal networks. EPJB Topical Issue on Temporal Network Theory and Applications, 89(1), 1--11.

  32. Gupta, A. K., Bhattacharya, I., Banerjee, P. S., Mandal, J. K. and Mukherjee, A. (2015) DirMove: direction of movement based routing in DTN architecture for post-disaster scenario. Wireless Network Journal, 22(3), 723--740.

  33. Chakraborty, T., Ganguly, N., Mukherjee, A. (2015) An author is known by the context she keeps: significance of network motifs in scientific collaborations. Journal of Social Network Analysis and Mining, 5:16.

  34. Mitra, S., Mitra, R., Maity, S. K., Riedl, M., Biemann, C., Goyal, P. and Mukherjee, A. (2015). An automatic approach to identify word sense changes in text media across timescales. Journal of Natural Language Engineering, Special Issue on Graphs for NLP, 21(5), 773--798.

  35. Chakraborty, T., Kumar, S., Goyal, P., Ganguly, N. and Mukherjee, A. (2015). On the categorization of scientific citation profiles in computer sciences. Communications of the ACM, 58(9), 82--90.

  36. Chakraborty, T., Tammana, V., Ganguly, N. and Mukherjee, A. (2015). Understanding and Modeling Diverse Scientific Careers of Researchers. Journal of Informetrics, 9(1), 69--78.

  37. Sur, S., Ganguly, N. and Mukherjee, A. (2015). Attack tolerance of correlated time-varying social networks with well-defined communities. Physica A: Statisical Mechanics and its Applications, 420, 98--107.

  38. Ganguly, N., Krueger, T., Mukherjee, A. and Saha, S. (2014). Epidemic spreading through direct and indirect interactions. Phys. Rev. E., 90, 032808

  39. Maity, R. R., Mallya, A., Mukherjee, A. and Ganguly, N. (2014). Understanding the Correlation of the Properties of Human Movement Patterns. Advances in Complex Systems, 17(6),1450019.

  40. Saha, S., Ganguly, N., Mukherjee, A. and Krueger, T. (2014). Intergroup networks as random threshold graphs. Phys. Rev. E., 89, 042812.

  41. Chakraborty, T., Sikdar, S., Ganguly, N. and Mukherjee, A. (2014). A Quantitative Route to the Rise and Fall of Scientic Research. Journal of Social Network Analysis and Mining, 4:187.

  42. Bhattacharjee, B., Manna, S. S. and Mukherjee, A. (2013). Information sharing and sorting in a community. Phys. Rev. E., 87(6), 062808.

  43. Chakraborty, T., Srinivasan, S., Ganguly, N., Bhowmick, S. and Mukherjee, A. (2013). Constant communities in complex networks. Nature Scientific Reports, 3, 1825.

  44. Ganguly, N., Saha, S., Maiti, A., Agarwal, S., Peruani, F. and Mukherjee, A. (2013). Effect of attachment strategies on bipartite networks. European Phys. Jour. B., 86, 287.

  45. Maity, S. K., Mukherjee, A., Tria, F. and Loreto, V. (2013). Emergence of fast agreement in an overhearing population: The case of the naming game. Euro. Phys. Lett., 101, 68004.

  46. Ghosh, S., Saha, S., Srivastava, A., Kuerger, T., Ganguly, N. and Mukherjee, A. (2013). Understanding Evolution of Inter-Group Relationships using Bipartite Networks. IEEE Journal on Selected Areas in Communications, Special Issue on Emerging Technologies in Communications, 31(8), 1--11.

  47. Mukherjee, A., Choudhury, M., Ganguly, N. and Basu, A. (2013). Language Dynamics in the Framework of Complex Networks: A Case Study on Self-organization of the Consonant Inventories. In Cognitive Aspects of Computational Language Acquisition, Poibeau, T., Villavicencio, A., Korhonen, A. and Alishahi, A. (eds.), Springer, 51--78, ISBN 978-3-642-31863-4.

  48. Maity, S. K., Venkat, M. T. and Mukherjee, A. (2012). Opinion formation in time-varying social networks: The case of the naming game. Phys. Rev. E, 86, 036110.

  49. Loreto, V., Mukherjee, A. and Tria, F. (2012). On the origin of the hierarchy of color names. Proceedings of the National Academy of Sciences (PNAS), 109, 6819--6824. Full version.
    Media Coverage: PNAS Press Highlights, Scientific American, Live Science, MedicalXpress, The Hindu, Business Line, Times of News, BBC Future, Prospect Magazine (UK), Yahoo! News, Deccan Herald, MSN, Homunculus, Doctordisruption, Galileo Net, Scienza e Tecnica, Chinese EurekAlert, De Standaard, Design by Coffee, Blitz quotidiano, Wired (Italian). This work now has a Wikipedia entry in the page for Color term.

  50. Mukherjee, A., Loreto, V. and Tria, F. (2012). Why are basic color names "basic"?, Topical Issue on Language Dynamics, Advances in Complex Systems, 15(3,4), 1150016 (1--13).

  51. Tria, F., Mukherjee, A., Baronchelli, A., Puglisi, A. and Loreto, V. (2011). A fast no-rejection algorithm for the Category Game, Journal of Computational Science , 2(4), 316--323, http://arxiv.org/abs/1012.3583

  52. Mukherjee, A., Choudhury, M. and Ganguly, N. (2011). Understanding how both the partitions of a bipartite network affect its one-mode projection, Physica A: Statisical Mechanics and its Applications, 390(20), 3602--3607 http://arxiv.org/abs/1105.3902.

  53. Ghosh, S., Banerjee, A., Sharma, N., Agarwal, S., Ganguly, N., Bhattacharya, S. and Mukherjee, A. (2011). Statistical Analysis of the Indian Railway Network: A Complex Network Approach, Acta Physica Polonica B Proceedings Supplement, 4(2), 123--137, (pdf).

  54. Loreto, V., Baronchelli, A., Mukherjee, A., Puglisi, A. and Tria, F. (2011). Statistical physics of language dynamics, Journal of Statistical Mechanics: Theory and Experiment, P04006.

  55. Mukherjee, A., Tria, F., Baronchelli, A., Puglisi, A. and Loreto, V. (2011). Aging in language dynamics, PLoS ONE 6(2): e16677.

  56. Pal, R., Mukherjee, A., Mitra, P., and Mukherjee, J. (2010). Modelling Visual Saliency Using Degree Centrality, IET Computer Vision 4(3), 218--229.

  57. Mukherjee, A., Choudhury, M., Basu, A., and Ganguly, N. (2010). Modeling the Redundancy of Human Speech Sound Inventories: An Information Theoretic Approach, Journal of Quantitative Linguistics, 17(4), 317--343.

  58. Choudhury, M., Ganguly, N., Maiti, A., Mukherjee, A., Brusch, L., Deutsch, A., and Peruani, F. (2010). Modeling discrete combinatorial systems as Alphabetic Bipartite Networks: Theory and Applications Phys. Rev. E, 81 036103 http://arxiv.org/abs/0811.0499

  59. Mukherjee, A., Choudhury, M., Basu, A., and Ganguly, N. (2009). Self-organization of the Sound Inventories: Analysis and Synthesis of the Occurrence and Co-occurrence Networks of Consonants, Journal of Quantitative Linguistics, 16(2), 157--184 http://arXiv.org/physics/0610120

  60. Choudhury, M., and Mukherjee, A. (2009). The Structure and Dynamics of Linguistic Networks. In Dynamics on and of Complex Networks: Applications to Biology, Computer Science, Economics, and the Social Sciences, Ganguly, N., Deutsch, A., and Mukherjee, A., (eds.), Birkhauser, Springer, Boston, 145--166, ISBN: 978-0-8176-4750-6  http://www.springerlink.com/content/x0g78760w753p781/

  61. Mukherjee, A., Choudhury, M., RoyChowdhury, S., Basu, A., and Ganguly, N. (2008). Rediscovering the Co-occurrence Principles of the Vowel Inventories: A Complex Network Approach, Advances in Complex Systems, 11(3), 371--392 http://arxiv.org/abs/physics/0702056

  62. Mukherjee, A., Chakraborty, K., and Basu, A.(2008). SweepSticks - An Adaptive Virtual Mouse for People with Neuro-Motor Disorders, Assistive Technology Journal of the Rehabilitation Engineering Society of North America, 20(2), 111--124 (doc)

  63. Choudhury, M., Saraf, R., Jain, V., Mukherjee, A., Sarkar, S., and Basu, A. (2007). Investigation and Modeling of the Structure of Texting Language, Special Issue of the International Journal of Document Analysis and Recognition on Noisy Text Analytics, Springer, 10(3-4), 157--174 (pdf)

  64. Peruani, F., Choudhury, M., Mukherjee, A., and Ganguly, N. (2007). Emergence of a non-scaling degree distribution in bipartite networks: a numerical and analytical study, Euro. Phys. Letters, 79(2), 28001 http://arXiv.org/abs/cond-mat/0703634

  65. Mukherjee, A., Choudhury, M., Basu, A., and Ganguly, N. (2007). Modeling the Co-occurrence Principles of the Consonant Inventories: A Complex Network Approach, Int. Jour. of Modern Phy. C, 18(2), 281--295 http://arXiv.org/physics/0606132

    Refereed Conferences/Workshops (including companion volumes)

  66. Rizwan, N., Deb, N., Roy, S., Solanki, V. S., Garimella, K. and Mukherjee, A. (2025). Toxicity Begets Toxicity: Unraveling Conversational Chains in Political Podcasts. In ACM Multimedia, Dublin, Ireland.

  67. Banerjee, S., Layek, S., Tripathy, S., Kumar, S., Mukherjee, A. and Hazra, R. (2025). SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models. In AAAI (Alignment Track), Philadelphia, Pennsylvania.

  68. Rizwan, N., Yimam, S. M., Dementieva, D., Skupin, F., Fischer, T., Moskovskiy, D., Borkar, A. A., Geislinger, R., Saha, P., Roy, S., Semmann, M., Panchenko, A., Chris Biemann, C. and Mukherjee, A. (2025). HatePRISM: Policies, Platforms, and Research Integration. Advancing NLP for Hate Speech Proactive Mitigation. In ACL Findings, Vienna, Austria.

  69. Nag, A., Chakrabarti, S., Mukherjee, A. and Ganguly, N. (2025). MutantPrompt: Prompt Optimization via Mutation Under a Budget on Modest-sized LMs. In ACL Findings, Vienna, Austria.

  70. Rizwan, N., Bhaskar, P., Das, M., Majhi, S. S., Saha, P. and Mukherjee, A. (2025). Exploring the Limits of Zero Shot Vision Language Models for Hate Meme Detection: The Vulnerabilities and their Interpretations. In ICWSM, Copenhagen, Denmark.

  71. Jaiswal, S. D., Basu, S., Sikdar, S. and Mukherjee, A. (2025). Exploring Disparity-Accuracy Trade-offs in Face Recognition Systems: The Role of Datasets, Architectures, and Loss Functions. In ICWSM, Copenhagen, Denmark.

  72. Banerjee, S., Layek, S., Shrawgi, S., Mandal, R., Halder, A., Kumar, S., Basu, S., Agrawal, P., Hazra, R. and Mukherjee, A. (2025). Navigating the Cultural Kaleidoscope: A Hitchhiker’s Guide to Sensitivity in Large Language Models. In NAACL, Albuquerque, New Mexico.

  73. Banerjee, S., Halder, A., Mandal, R., Layek, S., Soboroff, I., Hazra, R. and Mukherjee, A. (2025). Breaking Boundaries: Investigating the Effects of Model Editing on Cross-linguistic Performance. In NAACL (Industry Track), Albuquerque, New Mexico.

  74. Nag, A., Chakrabarti, S., Mukherjee, A., and Ganguly, N. (2025). Efficient Continual Pre-training of LLMs for Low-resource Languages. In NAACL (Industry Track), Albuquerque, New Mexico.

  75. Das, P., Keerthana S. K, Soni, A. and Mukherjee, A. (2025). Social Biases in Knowledge Representations of Wikidata separates Global North from Global South. In WebSci, New Brunswick, New Jersey, USA.

  76. Dementieva, D., Babakov, N., Ronen, A., Ayele, A. A., Rizwan, N., Schneider, F., Wang, X., Yimam, S. M., Moskovskiy, D. A., Stakovskii, E., Kaufman, E., Elnagar, A., Mukherjee, A. and Panchenko, A. (2025). Multilingual and Explainable Text Detoxification with Parallel Corpora. In COLING, Abu Dhabi.

  77. Adak, S., and Mukherjee, A. (2025). RA-MTR: A Retrieval Augmented Multi-Task Reader based approach for Inspirational Quote extraction from long documents. In COLING, Abu Dhabi.

  78. Banerjee, S., Layek, S, Hazra, R. and Mukherjee, A. (2025). How (un)ethical are instruction-centric responses of LLMs? Unveiling the vulnerabilities of safety guardrails to harmful queries. In ICWSM, Copenhagen, Denmark.

  79. Adak, S., Meher, P. M., Das, P. and Mukherjee, A. (2025). REVerSum: A Multi-staged Retrieval-Augmented Generation Method to Enhance Wikipedia Tail Biographies through Personal Narratives. In COLING (Industry Track), Abu Dhabi.

  80. Das, P., Roy, A., Chakraborty, R. and Mukherjee, A. (2025). On the effective transfer of knowledge from English to Hindi Wikipedia. In COLING (Industry Track), Abu Dhabi.

  81. Banerjee, S., Sahoo, A., Layek, S., Dutta, A., Hazra, R. and Mukherjee, A. (2024). Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context. In EMNLP (Industry Track), Miami, Florida.

  82. Saha, P., Dutta, A, Jana, A. And Mukherjee, A. (2024). CrowdCounter: A benchmark type-specific multi-target counterspeech dataset. In CoNLL, Miami, Florida.

  83. Adak, S., Aggarwal, D., Mukherjee, A. and Aditya, S. (2024). Text2Afford: Probing Object Affordance Prediction abilities of Language Models solely from Text. In CoNLL, Miami, Florida.

  84. Nag, A., Mukherjee, A., Ganguly, N., and Chakrabarti, S. (2024) Cost-Performance Optimization for Processing Low-Resource Language Tasks Using Commercial LLMs. In EMNLP (findings) 2024, Miami, Florida.

  85. Rai, A., Jaiswal, S., Prakash, S., Sree, B. P. and Mukherjee, A. (2024). DENOASR: Debiasing ASRs through Selective Denoising. In IEEE ICKG, Abu Dhabi, UAE.

  86. Dash, A., Ghosh, S., Mukherjee, A.e, Chakraborty, A. and Gummadi, K. P. (2024). Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace. In AIES, San Jose, CA, USA.

  87. Jaiswal, S., Ganai, A., Dash, A., Ghosh, S. and Mukherjee, A. (2024). Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems. In AIES, San Jose, CA, USA.

  88. Banerjee, S., Dutta, A, Agrawal, A., Hazra, R. and Mukherjee, A. (2024). DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software Ecosystem. In ECML-PKDD (ADS Track), Vilnius, Lithuania.

  89. Rai, A. K., Jaiswal, S. and Mukherjee, A. (2024). A Deep Dive into the Disparity of Word Error Rates Across Thousands of NPTEL MOOC Videos. In ICWSM, Buffalo, NY, USA.

  90. Dash, A., Chakraborty, A., Ghosh, S., Mukherjee, A. and Gummadi, K. P (2024) Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon. In CSCW, San Jose, Costa Rica.

  91. Das, M., Pandey, S. K. and Mukherjee, A. (2024). Evaluating ChatGPT Against Functionality Tests for Hate Speech Detection. In LREC-COLING, Turin, Italy.

  92. Punyajoy Saha, Agrawal, A., Jana, A. Jana, Biemann, C. and Mukherjee, A. (2024). On Zero-Shot Counterspeech Generation by LLMs. In LREC-COLING, Turin, Italy.

  93. Banerjee, S., Sarkar, M., Saha, P., Mathew, B. and Mukherjee, A. (2024). InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks. In LREC-COLING, Turin, Italy.

  94. Das, P., Roy, A. and Mukherjee, A. (2024). WikiTransfer: Knowledge transfer from High-Resource to Low-Resource Language in Multilingual Wikipedia. In WikiWorkshop, (Online).

  95. Das, M., Pandey, S. K., Sethi, S., Saha, P. and Mukherjee, A. (2023). Low-Resource Counterspeech Generation for Indic Languages: The Case of Bengali and Hindi. In EACL (Findings), Malta

  96. Das, M. And Mukherjee, A. (2023). BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification. In EMNLP, Singapore.

  97. Roy, S., Harshavardhan, A., Mukherjee, A. and Saha, P. (2023). Probing LLMs for hate speech detection: strengths and vulnerabilities. In EMNLP (Findings), Singapore.

  98. Saha, P., Sheth, D., Kedia, K., Mathew, B. and Mukherjee, A. (2023). Rationale-Guided Few-Shot Classification to Detect Abusive Language. In ECAI, Kraków, Poland.

  99. Aggarwal, P., Chawla, P., Das, M., Saha, P., Mathew, B., Zesch, T. and Mukherjee, A. (2023). HateProof: Are Hateful Meme Detection Systems really Robust? In The WebConf, Austin, Texas, USA

  100. Jaiswal, S. and Mukherjee, A. (2023). A History of Diversity in the Web (Conference). In The WebConf (The History of the Web Track), Austin, Texas, USA

  101. Jaiswal, S., Verma, A. K. and Mukherjee, A. (2023). Auditing Gender Analyzers on Text Data. In ASONAM, Marrakesh, Morocco.

  102. Hazra, R., Saha, D., Sahoo, A., Banerjee, S. and Mukherjee, A. (2023). Duplicate Question Retrieval and Confirmation Time Prediction in Software Communities. In ASONAM, Marrakesh, Morocco.

  103. Nag, A., Samanta, B., Mukherjee, A, Ganguly, N. and Chakrabarti, S. (2023). Entropy-guided Vocabulary Augmentation of Multilingual Language Models for Low-resource Tasks. In ACL (Findings), Austin, Texas, USA

  104. Patel, U., Mondal, M. and Mukherjee, A. (2023). "Dummy Grandpa, do you know anything?”: Identifying and Characterizing Ad hominem Fallacy Usage in the Wild. In ICWSM, Limassol, Cyprus.

  105. Das, M., Raj, R., Saha, P., Mathew, B., Gupta, M. and Mukherjee, A. (2023). HateMM: A Multi-modal Dataset for Hate Video Classification. In ICWSM 2023 (dataset track), Limassol, Cyprus.

  106. Das, P., Keerthana, S., Panda, A., Reddy, B. P., Sarkar, S. and Mukherjee, A. (2023). Diversity matters: Robustness of bias measurements in Wikidata. In The WebSci, Austin, Texas, USA

  107. Das, M. and Mukherjee, A. (2023). Transfer Learning for Multilingual Abusive Meme Detection. In The WebSci, (short paper), Austin, Texas, USA

  108. Gupta, V., Roychowdhury, S., Das, M., Banerjee, S., Saha, P., Mathew, B., Vanchinathan, H. P. and Mukherjee, A. (2022). MACD: Multilingual Abusive Comment Detection at Scale for Indic Languages. In NeurIPS Datasets and Benchmarks, New Orleans, USA.

  109. Das, M., Banerjee, S. and Mukherjee, A. (2022). Hate Speech and Offensive Language Detection in Bengali. In AACL-IJCNLP, Virtually (online).

  110. Chakraborty, S., Goyal, P. and Mukherjee, A. (2022). Fast Few shot Self-attentive Semi-supervised Political Inclination Prediction. In ICADL, Hanoi, Vietnam.

  111. Saha, P., Singh, K., Kumar, A, Mathew, B. and Mukherjee, A. (2022). CounterGEDI: a controllable approach to generate polite, detoxified and emotional counterspeech. In ECAI-IJCAI (AI for Good), Vienna, Austria.

  112. Adak, S., Ahmad, A., Basu, A. and Mukherjee, A. (2022). Placing (Historical) Facts on a Timeline: A Classification cum Co-ref Resolution Approach. In ECML-PKDD (ADS Track), Grenoble, France.

  113. Hazra, R., Dwivedi, A., and Mukherjee, A. (2022). Is this bug severe? A text-cum-graph based model for bug severity prediction. In ECML-PKDD (ADS Track), Grenoble, France.

  114. Das, M., Banerjee, S., and Mukherjee, A. (2022). Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages. In ACM Hypertext, Bacelona, Spain.

  115. Dash, A., Chakraborty, A., Ghosh, S, Mukherjee, A. and Gummadi, K. (2022). Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. In The WebConf, Virtually (online).

  116. Dutta, P., Chakraborty, S., Roychowdhury, S. and Mukherjee, A. (2022). CRUSH: Contextually Regularized and User anchored Self-supervised Hate speech Detection. In NAACL (Findings), Seattle, Washington.

  117. Chakraborty, S., Goyal, P. and Mukherjee, A. (2022). (Im)balance in the Representation of News? An Extensive Study on a Decade Long Dataset from India. In SocInfo, Glasgow, UK

  118. Chakraborty, S., Medidoddi, V., Bantupalli, J. and Mukherjee, A. (2022). Decoding Demographic un-fairness from Indian Names. In SocInfo, Glasgow, UK

  119. Das, M., Saha, P., Mathew, B. and Mukherjee, A. (2022). HateCheckHIn: Evaluating Hindi Hate Speech Detection Models. In LREC, Marseille, France.

  120. Jaiswal, S. and Mukherjee, A. (2022). Marching with the Pink Parade: Evaluating Visual Search Recommendations for Non-binary Clothing Items. In CHI (case studies), New Orleans and online.

  121. Jaiswal, S., Duggirala, K., Dash, A. and Mukherjee, A. (2022). Two-Face: Adversarial Audit of Commercial Face Recognition Systems. In ICWSM, Atlanta, Georgia and online.

  122. Das, P., Seelaboyina, S. B., Reddy, B. P., Sarkar, S. and Mukherjee, A. (2022). Quality Change: norm or exception? Measurement, Analysis and Detection of Quality Change in Wikipedia. In CSCW, Virtually (online mode).

  123. Chowdhury, A., Srinivasan, S., Bhowmick, S., Mukherjee, A. and Ghosh, K. (2021). Constant Community Identification in Million Scale Networks Using Image Thresholding Algorithms. In ASONAM, (short paper), Virtually (online mode).

  124. Nag, A., Samanta, B., Mukherjee, A., Ganguly, N. and Chakrabarti, S. (2021). A Data Bootstrapping Recipe for Low-Resource Multilingual Relation Classification. In CoNLL, Virtually (online mode).

  125. Das, P., Reddy, B. P., Chakraborty, D., Sarkar, S. and Mukherjee, A. (2021). When expertise gone missing: Uncovering the loss of prolific contributors in Wikipedia. In ICADL, Virtually (online mode). (Best student paper award).

  126. Das, M., Saha, P., Dutt, R., Goyal, P., Mukherjee, A. and Mathew, B. (2021). You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions and Insights. In The Hypertext, Virtually (online mode). (Ted Nelson best newcomer paper award).

  127. Bansal, S., Garimella, V., Suhane, A. and Mukherjee, A. (2021). Debiasing Multilingual Word Embeddings: A Case Study of Three IndianLanguages. In Hypertext, Virtually (online mode).

  128. Saha, P., Mathew, B., Garimella, K. and Mukherjee, A. (2021). "Short is the Road that Leads from Fear to Hate'': Fear Speech in Indian WhatsApp Groups. In IC2S2, (peer-reviewed abstract), Virtually (online mode).

  129. Saha, P., Mathew, B., Garimella, K. and Mukherjee, A. (2021). "Short is the Road that Leads from Fear to Hate'': Fear Speech in Indian WhatsApp Groups. In The WebConf, Virtually (online mode).

  130. Mathew, B., Saha, P., Yimam, S. M., Biemann, C., Goyal, P. and Mukherjee, A. (2021). HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection. In AAAI, Virtually (online mode).

  131. Dash, A., Chakraborty, A., Ghosh, S., Mukherjee, A. and Gummadi, K. P. (2021). When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. In ACM FAccT, Virtually (online mode).

  132. Hazra, R., Aggarwal, H., Goyal, P., Mukherjee, A. and Chakrabarti, S. (2021). Joint Autoregressive and Graph Models for Software and Developer Social Networks. In ECIR, Virtually (online mode).

  133. Reddy, B. P., Seelaboyina, S. B., Sarkar, S. and Mukherjee, A. (2020). NwQM: A neural quality assessment framework for Wikipedia. In EMNLP, Virtually (online mode).

  134. Mathew, B., Illendula, A., Saha, P., Sarkar, S., Goyal, P. and Mukherjee, A. (2020). Hate begets Hate: A Temporal Study of Hate Speech. In ACM CSCW, Virtually (online mode).

  135. Aluru, S. S., Mathew, B., Saha, P. and Mukherjee, A. (2020). A Deep Dive into Multilingual Hate Speech Classification. In ECML-PKDD, Ghent Belgium.

  136. Vyas, A., Ambavi, H., Adak, S., Patel, S., Kadasi, P., Singh, M. and Mukherjee, A. (2020). Gandhipedia: A one-stop AI-enabled portal for browsing Gandhian literature, life-events and his social network. In JCDL, (demo track), Xi'an, China.

  137. Bansal, S., Garimella, V., Suhane, A., Patro, J. and Mukherjee, A. (2020). Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection. In ACL, (short paper), Seattle, Washington.

  138. Chakraborty, S., Goyal, P. and Mukherjee, A. (2020). Aspect-based Sentiment Analysis of Scientific Reviews. In JCDL, Xi'an, China.

  139. Hazra, R., Aryan, Aggarwal, H., Marsili, M. and Mukherjee, A. (2020). Characterising authors on the extent of their paper acceptance: A case study of the Journal of High Energy Physics, In JCDL, Xi'an, China.

  140. Jalal, J., Singh, M., Pal, A., Dey, L. and Mukherjee, A. (2020). Identification, Tracking and Impact: Understanding the trade secret of catchphrases.In JCDL, Xi'an, China.

  141. Mathew, B., Kumar, N., Goyal, P. and Mukherjee, A. (2020). Interaction dynamics between hate and counter users on Twitter. In CoDS-COMAD, (research track), Hyderabad, India.

  142. Mathew, B., Maity, S. K., Goyal, P. and Mukherjee, A. (2020). Competing Topic Naming Conventions in Quora: Predicting Appropriate Topic Merges and Winning Topics from Millions of Topic Pairs. In CoDS-COMAD, (research track), Hyderabad, India.

  143. Singh, M., Pal, A., Dey, L. and Mukherjee, A. (2020). Innovation and Revenue: Deep Diving into the Temporal Rank-shifts of Fortune 500 Companies. In CoDS-COMAD, (industry track), Hyderabad, India.

  144. Patro, J., Bansal, S. and Mukherjee, A. (2019). A deep-learning framework to detect sarcasm targets. In EMNLP, (short paper), Hong Kong.

  145. Hazra, R., Singh, M., Goyal, P., Adhikari, B. and Mukherjee, A. (2019). The rise and rise of interdisciplinary research: Understanding the interaction dynamics of three major fields -- Physics, Mathematics & Computer Science. In ICADL, Kuala Lumpur, Malayasia.

  146. Mathew, B., Dutt, R., Maity, S. K., Goyal, P. and Mukherjee, A. (2019). Deep Dive into Anonymity: Large Scale Analysis of Quora Questions. In SocInfo, Doha, Qatar. (best paper nomination).

  147. Patro, J., Baruah, S., Gupta, V., Choudhury, M., Goyal, P. and Mukherjee, A. (2019). Characterizing the spread of exaggerated health news content over social media. In ACM Hypertext and Social Media, (poster paper), Hof, Germany.

  148. Jana, A., Puzyrev, D., Panchenko, A., Goyal, P., Biemann, C. and Mukherjee, A. (2019). On the Compositionality Prediction of Noun Phrases using Poincaré embeddings. In ACL, Florence, Italy.

  149. Sarkar, S., Reddy, B. P., Sikdar, S. and Mukherjee, A. (2019). StRE: Self Attentive Edit Quality Prediction in Wikipedia. In ACL, Florence, Italy.

  150. Matthew, B., Dutt, R., Goyal, P. and Mukherjee, A. (2019). Spread of hate speech in online social media. In ACM WebSci, Boston, USA. (Best Paper, Honourable Mention Award).

  151. Patro, J., Choudhary, N., Chittora, K. and Mukherjee, A. (2019). A deep learning approach to detect emotions in the dialog utterances. In SemEval, (poster paper), Minneapolis, USA.

  152. Matthew, B., Saha, P., Tharad, H., Rajgaria, S., Singhania, P., Maity, S. K., Goyal P. and Mukherjee, A. (2019). Thou shalt not hate: Countering online hate speech. In ICWSM, Munich, Germany.

  153. Singh, M., Sarkar, R., Vyas, A., Goyal, P., Mukherjee, A. and Chakrabarti, S. (2019). Automated Early Leaderboard Generation From Comparative Tables. In ECIR, Cologne, Germany.

  154. Maity, S.K., Panigrahi, A., Ghosh, S., Banerjee, A., Goyal, P. and Mukherjee, A.. (2019). DeepTagRec: A Content-cum-User based Tag Recommendation Framework for Stack Overflow. In ECIR, (short paper), Cologne, Germany.

  155. Dash, A., Mukherjee, A. and Ghosh, S. (2019). A Network-centric Framework for Auditing Recommendation Systems. In IEEE Infocom, Paris, France. (Best In-session Presentation Award).

  156. Jana, A., Mukherjee, A. and Goyal. P. (2019). Detecting Reliable Novel Word Senses: A Network-Centric Approach. In ACM SAC -- Knowledge and Language Processing track, Limassol, Cyprus.

  157. Maity, S. K., Chaudhuri, A. and Mukherjee, A. (2019). "Woman-Metal-White vs Man-Dress-Shorts": Combining Social, Temporal and Image Signals to Understand Popularity of Pinterest Fashion Boards. In ICWSM, Munich, Germany.

  158. Santosh, T. Y. S. S., Gambhir, V. and Mukherjee, A. (2018). Deep learning for social media health text classification. In Social Media Mining for Health Applications (SMM4H) Workshop & Shared Task, EMNLP, Brussels, Belgium.

  159. Maity, S. K., Chakraborty, A., Goyal, P. and Mukherjee, A. (2018). Opinion Conflicts: An Effective Route to Detect Incivility in Twitter. In CSCW , New York City's Hudson River.

  160. Sarkar, S., Bhowmick, S. and Mukherjee, A. (2018). On Rich Clubs of Path-Based Centralities in Networks. In CIKM , Lingotto, Turin, Italy.

  161. Sarkar, S., Bhagwat, A. and Mukherjee, A. (2018). Core2Vec: A core-preserving feature learning framework for networks. In IEEE/ACM ASONAM, Barcelona, Spain. (short paper)

  162. Joshi, T., Mukherjee, A. and Ippadi, G. (2018). One size does not fit all: Predicting product returns in e-commerce platforms In IEEE/ACM ASONAM, Barcelona, Spain. (poster)

  163. Jana, A., Kanojiya, P., Goyal, P., and Mukherjee, A. (2018). WikiRef: Wikilinks as a route to recommending appropriate references for scientific Wikipedia pages. In COLING , Santa Fe, New Mexico, USA.

  164. Maity, S. K., Mullick, A., Ghosh, S., Kumar, A., Dhamnani, S., Bahety, S., and Mukherjee, A. (2018). Understanding Psycholinguistic Behavior of Predominant Drunk Texters in Social Media. In IEEE ISCC Workshops - ICTS4eHealth , Natal, Brazil.(BEST PAPER AWARD)

  165. Singh, M., Dogga, P., Patro, S., Barnwal, D., Dutt, R., Haldar, R., Goyal, P. and Mukherjee, A. (2018). CL Scholar: The ACL Anthology Knowledge Graph Miner. In NAACL demo track, New Orleans, Louisiana.

  166. Sikdar, S., Chakraborty T., Sarkar, S., Ganguly, N. and Mukherjee, A. (2018). ComPAS: Community Preserving Sampling for Streaming Graphs. In AAMAS , Stockholm, Sweden.

  167. Maity, S. K., Gajula, R. and Mukherjee, A. (2018). Why Did They #Unfollow Me? Early Detection of Follower Loss on Twitter. In ACM GROUP , (poster highlight), Florida, USA.

  168. Maity, S. K., Kumar, A., Choudhary, V., Mallick, A., and Mukherjee, A. (2018). Understanding Book Popularity on Goodreads. In ACM GROUP , (poster highlight), Florida, USA.

  169. Patro, J., Samanta, B., Singh, S., Basu, A., Mukherjee, P., Choudhury, M., Mukherjee, A. (2017). All that is English may be Hindi: Enhancing language identification through automatic ranking of the likeliness of word borrowing in social media. In EMNLP , Copenhagen, Denmark.

  170. Singh, M., Sarkar, R., Goyal, P., Mukherjee, A. and Chakrabarti, S. (2017). Relay-Linking Models for Prominence and Obsolescence in Evolving Networks. In ACM SIGKDD , Halifax, Canada.

  171. Maity, S. K., Panigrahi, A., and Mukherjee, A. (2017). Book Reading Behavior on Goodreads Can Predict the Amazon Best Sellers. In ACM/IEEE ASONAM , (short paper), Sydney, Australia.

  172. Singh, M., Dan, S., Agarwal, S., Goyal, P. and Mukherjee, A. (2017). AppTechMiner: Mining Applications and Techniques from Scientific Articles. In ACM/IEEE JCDL 2017 workshop WOSP , Toronto, Canada.

  173. Mathew, B., Maity, S. K., Sarkar, P., Mukherjee, A. and Pawan Goyal (2017). Adapting predominant and novel sense discovery algorithms for identifying corpus-specific sense differences. In ACL 2017 workshop TextGraphs-11, Vancouver, Canada.

  174. Sikdar, S., Marsili, M., Ganguly, N., Mukherjee, A. (2017). Influence of Reviewer Interaction Network on Long-term Citations: A Case Study of the Scientific Peer-Review System of the Journal of High Energy Physics. In ACM/IEEE JCDL , Toronto, Canada.

  175. Jana, A., Mooriyath, S., Mukherjee, A., and Goyal, P. (2017). WikiM: Metapaths based Wikification of Scientific Abstracts. In ACM/IEEE JCDL , Toronto, Canada.

  176. Singh, M., Niranjan A., Gupta, D., Bakshi, N. A., Mukherjee, A., and Goyal, P. (2017). Citation sentence reuse behavior of scientists: A case study on massive bibliographic text dataset of computer science. In ACM/IEEE JCDL , Toronto, Canada (short paper).

  177. Singh, M., Jaiswal, A., Priya Shree, Pal, A., Mukherjee, A., and Goyal, P. (2017). Understanding the Impact of Early Citers on Long-Term Scientific Impact. In ACM/IEEE JCDL , Toronto, Canada.

  178. Maity, S. K., Kharb, A. and Mukherjee, A. (2017). Language Use Matters: Analysis of the Linguistic Structure of Question Texts can Characterize Answerability in Quora In ICWSM , (poster paper), Montreal, Canada.

  179. Maity, S. K., Chakraborty, A., Goyal, P. and Mukherjee, A. (2017). Detection of sockpuppets in social media. In CSCW poster highlight, Portland, OR.

  180. Maity, S. K., Jha, C., Kumar, A., Sengupta, A., Modi, M. and Mukherjee, A. (2017). A Large-scale Analysis of the Marketplace Characteristics in Fiverr, In HICSS-50, Hilton Waikoloa Village, Hawaii.

  181. Singh, M., Barua, B., Palod, P., Garg, M., Satapathy, S., Bushi, S., Ayush, K., Rohith, K. S., Gamidi, T., Goyal, P. and Mukherjee, A. (2016) OCR++: A Robust Framework For Information Extraction from Scholarly Articles. In COLING , Osaka, Japan. Live System

  182. Ufimtsev, V., Sarkar, S., Mukherjee, A. and Bhowmick, S. (2016). Understanding Stability of Noisy Networks through Centrality Measures and Local Connections, In CIKM , (extended short paper), Indianapolis, IN.

  183. Sikdar, S., Marsili, M, Ganguly, N. and Mukherjee, A. (2016). Anomalies in the peer-review system: A case study of the journal of High Energy Physics, In CIKM , (extended short paper), Indianapolis, IN.

  184. Sarkar, S., Kumar, S., Bhowmick, S., and Mukherjee, A. (2016). Sensitivity and Reliability in Incomplete Networks: Centrality Metrics to Community Scoring Functions, In ASONAM , (short paper), San Francisco, CA. (Extended version invited as a book chapter in Lecture Notes on Social Networks, Springer).

  185. Maity, S. K., Sarda, C., Chaudhary, A., Patil, A., Kumar, S., Mondal, A. and Mukherjee, A. (2016). WASSUP? LOL : Characterizing Out-of-Vocabulary Words in Twitter. In CSCW poster highlight, San Francisco, CA.

  186. Sikdar, S., Chakraborty, A., Chaudhary, A., Kumar, G., Kumar, S., Patil, A., Ganguly, N. and Mukherjee, A. (2016). Identifying and Characterizing Sleeping Beauties on YouTube. In CSCW poster highlight, San Francisco, CA.

  187. Prasad, U., Kumari, N., Kumar, M., Ganguly, N. and Mukherjee, A. (2016). The role of outsiders in consensus formation: A case study of Yelp. In CSCW poster highlight, San Francisco, CA.

  188. Maity, S. K., Saraf, R. and Mukherjee, A. (2016). #Bieber + #Blast = #BieberBlast: Early prediction of popular hashtag compounds. In CSCW , San Francisco, CA. (CSCW Honorable Mention, MIT Tech Review best of the rest of arXiv. Synopsis. Other Comments.)

  189. Chakraborty, T., Krishna, A., Singh, M., Ganguly, N., Goyal, P. and Mukherjee, A. (2016). FeRoSA: A Faceted Recommendation System for Scientific Articles. In PAKDD , Auckland, New Zealand. (Working Prototype)

  190. Maity, S. K., Ghuku, B., Upmaynu, A. and Mukherjee, A. (2016). Out of vocabulary words decrease, running texts prevail and hashtags coalesce: Twitter as an evolving sociolinguistic system. In HICSS , Kauai, Hawaii. (This paper featured as MIT Tech Review best of the rest of arXiv)

  191. Singh, M., Patidar, V., Kumar, S., Chakraborty, T., Mukherjee, A. and Goyal, P. (2015). The role of citation context in predicting long-term citation profiles: an experimental study based on a massive bibliographic text dataset. In CIKM , Melbourne, Australia.

  192. Chakraborty, T., Patranabis, S., Goyal, P. and Mukherjee, A. (2015). On the formation of circles in co-authorship networks. In KDD, Sydney, Australia. (Video)

  193. Singh, M., Chakraborty, T., Goyal, P. and Mukherjee, A. (2015). ConfAssist: A Conflict resolution framework for assisting the categorization of Computer Science conferences. In JCDL , Tennessee, USA (poster).

  194. Maity, S. K., Singh, J. S. and Mukherjee, A. (2015). Analysis and prediction of question topic popularity in community QA sites: A case study of Quora. In ICWSM , Oxford, UK.

  195. Maity, S. K., Gupta, A., Goyal, P. and Mukherjee, A. (2015). A stratified learning approach for predicting the popularity of Twitter Idioms. In ICWSM , Oxford, UK (poster).

  196. Sikdar, S., Bodych, M., Maiti, R. R., Paria, B., Ganguly, N., Krueger, T. and Mukherjee, A. (2015). On the broadcast of segmented messages in dynamic networks. In IEEE NetSciCom (co-located with IEEE INFOCOM), Hong Kong, China.

  197. Chakraborty, T., Ganguly, N. and Mukherjee, A. (2014). Automatic Classification of Scientific Groups as Productive: An Approach based on Motif Analysis. In ASONAM, China.

  198. Chakraborty, T., Kumar, S., Goyal, P., Ganguly, N. and Mukherjee, A. (2014). Towards a Stratified Learning Approach to Predict Future Citation Counts. In JCDL, UK.

  199. Chakraborty, T., Srinivasan, S., Ganguly, N., Mukherjee, A. and Bhowmick, S. (2014). On the permanence of vertices in network communities. In KDD, New York, USA.

  200. Chakraborty, T., Tammana, V., Ganguly, N. and Mukherjee, A. (2014). Analysis and modeling of lowest unique bid auctions. In ASE Socialcom, Stanford, USA.

  201. Maity, S. K., Manoj, T. V. and Mukherjee, A. (2014). Opinion dynamics in correlated time-varying social networks. In ASE Socialcom, Stanford, USA.

  202. Mitra, S., Mitra, R., Riedl, M., Biemann, C., Mukherjee, A. and Goyal, P. (2014). That's sick dude!: Automatic identification of word sense change across different timescales. In ACL, Baltimore, USA.

  203. Quasthoff, U., Mitra, R., Mitra, S., Eckart, T., Goldhahn, D., Goyal, P. and Mukherjee, A. (2014). Large Web Corpora of High Quality for Indian Languages. LREC Workshop on Indian Language Data: Resources and Evaluation, Reykjavik, Iceland (poster).

  204. Maity, S. K., Porwal, A. and Mukherjee, A. (2013). Understanding how learning affects agreement process in social networks, In ASE/IEEE Socialcom, Washington DC, USA.

  205. Chakraborty, T., Kumar, S., Reddy, M. D., Kumar, S., Ganguly, N. and Mukherjee, A. (2013). Automatic Classification and Analysis of Interdisciplinary Fields in Computer Sciences, In ASE/IEEE Socialcom, Washington DC, USA.

  206. Chakraborty, T., Sikdar, S., Tammana, V., Ganguly, N. and Mukherjee, A. (2013). Computer Science Fields as Ground-truth Communities: Their Impact, Rise and Fall, In IEEE/ACM ASONAM, Niagra Falls, Canada.

  207. Ghosh, S., Srivastava, H., Agarwal, S. and Mukherjee, A. (2013). Runtime delays in Indian railways: Is traffic the cause?, In ACM DEV (poster), Bangalore, India.

  208. Maity, S. K. and Mukherjee, A. (2012). Understanding how dominance affects the emergence of agreement in a social network: The case of Naming Game, In ASE/IEEE Socialcom, Amsterdam, The Netherlands.

  209. Saha, S., Ganguly, N., and Mukherjee, A. (2012). Information Dissemination Dynamics in Delay Tolerant Network: A Bipartite Network Approach, In ACM MobiOpp, Zurich, Switzerland.

  210. Choudhury, M., Chatterjee, D., and  Mukherjee, A. (2010). Global topology of word co-occurrence networks: Beyond the two-regime power-law, In the proceedings of COLING, Beijing, China

  211. Biemann, C., Choudhury, M., and  Mukherjee, A. (2009). Syntax is from Mars while Semantics from Venus! Insights from Spectral Analysis of Distributional Similarity Networks, In the proceedings of ACL, (short paper), Suntec, Singapore

  212.  Mukherjee, A., Choudhury, M., and Kannan, R. (2009). Discovering Global Patterns in Linguistic Networks through Spectral Analysis: A Case Study of the Consonant Inventories, In the proceedings of EACL, Athens, Greece http://arxiv.org/abs/0901.2216
    [This paper makes my Erdős number 3. Animesh Mukherjee (3) --> Ravi Kannan (2) --> László Lovász (1) --> Paul Erdős (0)].

  213. Choudhury, M., Mukherjee, A., Garg, A., Jalan, V., Basu, A., and Ganguly, N. (2009). Language Diversity across the Consonant Inventories: A Study in the Framework of Complex Networks, In the proceedings of EACL workshop on Cognitive Aspects of Computational Language Acquisition, Athens, Greece http://arxiv.org/abs/0904.1289

  214. Bhowmick, P. K., Mukherjee, A., Banik, A., Mitra, P., and Basu, A. (2008). A Comparative Study of the Properties of Emotional and Non-Emotional Words in the Wordnet: A Complex Network Approach, In the proceedings of ICON (poster session), Pune, India (pdf)

  215.  Mukherjee, A., Choudhury, M., Basu, A., and Ganguly, N. (2008). Modeling the Structure and Dynamics of the Consonant Inventories: A Complex Network Approach , In the proceedings of COLING, Manchester, UK http://arxiv.org/abs/0806.0923

  216. Nath, J., Choudhury, M., Mukherjee, A., Biemann, C., and Ganguly, N. (2008) Unsupervised Parts-of-Speech Induction for Bengali, In the proceedings of LREC, Morocco, Marrakech (pdf)

  217. Mukherjee, A., Choudhury, M., Basu, A., and Ganguly, N. (2007). Redundancy Ratio: An Invariant Property of the Consonant Inventories of the World's Languages, In the proceedings of ACL, Prague, Czech Republic (pdf)

  218. Mukherjee, A., Choudhury, M., Basu, A., and Ganguly, N. (2007). Emergence of Community Structures in Vowel Inventories: An Analysis based on Complex Networks, In the proceedings of ACL-SIGMORPHON9, Prague, Czech Republic (pdf)

  219. Choudhury, M., Thomas, M., Mukherjee, A., Basu, A., and Ganguly, N. (2007). How Difficult is it to Develop a Perfect Spell-checker? A Cross-linguistic Analysis through Complex Network Approach , Proceedings of TEXTGRAPHS-2, HLT/NAACL, Rochester, New York http://arXiv.org/abs/physics/0703198

  220. Choudhury, M., Mukherjee, A., Basu, A., and Ganguly, N. (2006). Analysis and Synthesis of the Distribution of Consonants over Languages: A Complex Network Approach, Proceedings of COLING-ACL, Sydney, Australia http://arXiv.org/physics/0606131

  221. Mukherjee, A., Bhattacharya, S., Halder, P.K., & Basu, A. (2005). A Virtual Predictive Keyboard as a Learning Aid for People with Neuro-motor Disorders, Proceedings of the 5th IEEE International Conference on Advanced Learning Technologies, (ICALT - 2005), Kaohsiung, Taiwan (doc)

    Non-refereed Journals/Conferences

  222. Chakraborty, T., Ganguly, N. and Mukherjee, A. (2014). Rising Popularity of Interdisciplinary Research -- an Analysis of Citation Networks, In Social Networking Workshop of COMSNETS, Bangalore, India. (Cash award for the "best presentation" in the workshop).

  223. Saha, S., Ganguly, N., and Mukherjee, A. (2012). Understanding Information Dissemination Dynamics in Delay Tolerant Networks using Theory of Bipartite Networks, In Comsnets PhD Forum, (abstract), Bangalore, India. (Awarded "best presentation" in the forum).

  224. Loreto, V., Mukherjee, A. and Tria, F. (2012). On the origin of the hierarchy of color names, In Evolang 9 (abstract), Kyoto, Japan.

  225. Mukherjee, A., Baronchelli, A., Loreto, V., Puglisi, A., and   Tria, F. (2010). Ageing in the Emergence of Linguistic Categories, In ALIFE XII (abstract), Odense, Denmark.

  226. Choudhury, M. and  Mukherjee, A. (2010). Computational Modeling of Language Evolution: Gaps and Challenges, In Evolang 2010 workshop on Models of Language Evolution: Does the Math Add Up? (abstract), Utrecht, The Netherlands.

  227. Praveen, R., Mukherjee, A., and Ganguly, N. (2008). Hierarchical Organization of Railway Networks, In the proceedings of European Conference on Complex Systems (ECCS-08), Jerusalem, Israel (short presentation)

  228. Gupta, A., Mukherjee, A., Chakraborty, S., and Basu, A. (2007). Mapping Graphical User Interfaces to Scanning Mechanisms: A Fuzzy Approach, In the proceedings of AACC, Kathmandu, Nepal (doc)

  229. Basu, A., Bhattacharya, S., and Mukherjee, A. (2006). A Flexible Multilingual Communication System with Special Access Mechanisms, 12th Biennial International Conference of the International Society for Augmentative and Alternative Communication (ISAAC), Dusseldorf, Germany.

  230. Mukherjee, A., Basu, A., and Chakraborty, K. (2006). Accessibility for all: Adaptive Computer Access Mechanisms for the Neuro-motor disabled in India, Proceedings of the 93rd Indian Science Congress, Hyderabad, India (abstract published).

  231. Mukherjee, A., and Basu, A. (2006). A Bangla Predictive Keyboard for people with Neuro-Motor Disorders, Proceedings of the International Conference on Computer Processing of Bangla (ICCPB06), Dhaka, Bangladesh (pdf)

  232. Mukhopadhyay, D., Mukherjee, A., Ghosh, S., Chakraborty, P., and Biswas, S. (2005); A New Approach for Message Hiding in Steganography and Audio Hiding using Substitution Technique, Journal of The Institution of Engineers, Computer Engineering Division, India, 86(2), 41-- 44 (pdf)

  233. Mukherjee, A., Bhattacharya, T., Chakraborty, K., & Basu, A. (2005). An Intelligent Tutoring System in Promotion of Bangla Literacy in the Rural Scenario, Proceedings of the National Conference on Computer Processing of Bangla (NCCPB05), Dhaka, Bangladesh (pdf)

  234. Mukherjee, A., Bhattacharya, S., Chakraborty, K., & Basu, A. (2004). Breaking the accessibility barrier: development of special computer access mechanisms for the neuro-motor disabled in India, Proceedings of the International Conference on Human Machine Interfaces - 2004 (ICHMI04), Bangalore, India (pdf)