Jacob Eisenstein's Publications

[1] J. Eisenstein. Written dialect variation in online social media. In C. Boberg, J. Nerbonne, and D. Watt, editors, Handbook of Dialectology. Wiley, 2017. [ bib | preprint ]
[2] J. Eisenstein. Unsupervised learning for lexicon-based classification. In Proceedings of the National Conference on Artificial Intelligence (AAAI), San Francisco, 2017. [ bib | code | link ]
[3] R. Goel, S. Soni, N. Goyal, J. Paparrizos, H. Wallach, F. Diaz, and J. Eisenstein. The social dynamics of language change in online networks. In The International Conference on Social Informatics (SocInfo), November 2016. [ bib | .pdf ]
[4] P. Bhatia, R. Guthrie, and J. Eisenstein. Morphological priors for probabilistic neural word embeddings. In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), November 2016. [ bib | code | preprint ]
[5] Y. Yang, M.-W. Chang, and J. Eisenstein. Toward socially-infused information extraction: Embedding authors, mentions, and entities. In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), November 2016. [ bib | http ]
[6] U. Pavalanathan and J. Eisenstein. More emojis, less :) The competition for paralinguistic functions in microblog writing. First Monday, 22(11), November 2016. [ bib | link ]
[7] Y. Ji, G. Haffari, and J. Eisenstein. A latent variable recurrent neural network for discourse relation language models. In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), San Diego, CA, June 2016. [ bib | http ]
[8] Y. Yang and J. Eisenstein. Part-of-speech tagging for historical english. In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), San Diego, CA, June 2016. [ bib | http ]
[9] U. Pavalanathan and J. Eisenstein. Emoticons vs. emojis on twitter: A causal inference approach. In Proceedings of AAAI Spring Symposium on Observational Studies through Social Media and Other Human-Generated Content (OSSM), March 2016. [ bib | http ]
Superseded by our paper in First Monday.
[10] Y. Yang and J. Eisenstein. Sentiment analysis with social attention. Conditionally Accepted to the Transactions of the Association for Computational Linguistics (TACL), 2016. [ bib ]
[11] V. Krishnan and J. Eisenstein. Nonparametric bayesian storyline detection from microtexts. In EMNLP Workshop on Computing News Storylines (CNewsStory), 2016. [ bib | link | slides ]
[12] N. Goyal and J. Eisenstein. A joint model of rhetorical discourse structure and summarization. In EMNLP Workshop on Structured Prediction for NLP, 2016. [ bib | link ]
[13] D. Nguyen and J. Eisenstein. A kernel independence test for geographical language variation. Currently under review at Computational Linguistics, 2016. [ bib | link ]
[14] Akanksha and J. Eisenstein. Shallow discourse parsing using distributed argument representations and bayesian optimization. CoRR, abs/1606.04503, 2016. [ bib | http ]
[15] L. F. Klein, J. Eisenstein, and I. Sun. Exploratory thematic analysis for digitized archival collections. Digital Scholarship in the Humanities, October 2015. [ bib | link ]
[16] P. Bhatia, Y. Ji, and J. Eisenstein. Better document-level sentiment analysis from rst discourse parsing. In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), September 2015. [ bib | .pdf ]
[17] Y. Ji, G. Zhang, and J. Eisenstein. Closing the gap: Domain adaptation from explicit to implicit discourse relations. In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), September 2015. [ bib | .pdf ]
[18] U. Pavalanathan and J. Eisenstein. Confounds and consequences in geotagged twitter data. In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), September 2015. [ bib | .pdf ]
[19] Y. Ji and J. Eisenstein. One vector is not enough: Entity-augmented distributional semantics for discourse relations. Transactions of the Association for Computational Linguistics (TACL), June 2015. [ bib ]
[20] J. M. D. Valdes, J. Eisenstein, and M. D. Choudhury. Psychological effects of urban crime gleaned from social media. In Proceedings of the International Conference on Web and Social Media (ICWSM), Menlo Park, California, May 2015. AAAI Press. [ bib | link ]
[21] U. Pavalanathan and J. Eisenstein. Audience-modulated variation in online social media. American Speech, 90(2), May 2015. [ bib | preprint | http ]
[22] Y. Yang and J. Eisenstein. Unsupervised multi-domain adaptation with feature embeddings. In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), Denver, CO, May 2015. [ bib | code | link ]
[23] J. Eisenstein. Rhetorical patterns in legislative speech. Presented at the Symposium on Text as Data, 2015. [ bib ]
[24] J. Eisenstein. Systematic patterning in phonologically-motivated orthographic variation. Journal of Sociolinguistics, 19:161--188, 2015. [ bib | preprint | http ]
[25] Y. Ji, T. Cohn, L. Kong, C. Dyer, and J. Eisenstein. Document context language models. In International Conference on Learning Representations, Poster Paper, volume abs/1511.03962, 2015. [ bib | link ]
[26] Y. Ji and J. Eisenstein. Entity-augmented distributional semantics for discourse relations. Presented at the workshop track of the International Conference of Learning Representations (ICLR) in San Diego, 2015. [ bib ]
[27] V. Krishnan and J. Eisenstein. “You're Mr. Lebowski, I'm The Dude”: Inducing address term formality in signed social networks. In NAACL, 2015. [ bib | link ]
Best student paper award!
[28] D. Nguyen and J. Eisenstein. A nonparametric test for spatial dependence. Presented at New Ways of Analyzing Variation (NWAV) in Toronto, 2015. [ bib ]
A journal version is currently under review.
[29] C. Tirkaz, J. Eisenstein, T. M. Sezgin, and B. Yanikoglu. Identifying visual attributes for object recognition from text and taxonomy. Computer Vision and Image Understanding, 2015. [ bib | link ]
[30] Y. Yang and J. Eisenstein. Putting things in context: Community-specific embedding projections for sentiment analysis. CoRR, abs/1511.06052, 2015. [ bib | link ]
[31] J. Eisenstein, B. O'Connor, N. A. Smith, and E. P. Xing. Diffusion of lexical change in social media. PLoS ONE, 9, November 2014. [ bib | DOI | link ]
[32] D. Bamman, J. Eisenstein, and T. Schnoebelen. Gender identity and lexical variation in social media. Journal of Sociolinguistics, 18(2):135--160, 2014. [ bib | code | official | preprint ]
[33] J. Eisenstein, I. Sun, and L. Klein. Exploratory thematic analysis for historical newspaper archives. Presented at Digital Humanities (DH) in Lausanne, 2014. [ bib | link ]
DH2014 talk abstract here: http://dharchive.org/paper/DH2014/Paper-921.xml
[34] Y. Ji and J. Eisenstein. Entity-augmented distributional semantics for discourse relations. Technical Report 1412.5673, 2014. [ bib | arXiv | link ]
Presented at ICLR 2015, superseded by our 2015 TACL paper.
[35] Y. Ji, H. Hong, R. Arriaga, A. Rozga, G. Abowd, and J. Eisenstein. Mining themes and interests in the asperger's and autism community. In Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, pages 97--106. Association for Computational Linguistics, 2014. [ bib | link ]
[36] Y. Ji and J. Eisenstein. Representation learning for text-level discourse parsing. In Proceedings of the Association for Computational Linguistics (ACL), Baltimore, MD, 2014. [ bib | code | .pdf ]
[37] K. Sirts, J. Eisenstein, M. Elsner, and S. Goldwater. Pos induction with distributional and morphological information using a distance-dependent chinese restaurant process. In Proceedings of the Association for Computational Linguistics (ACL), Baltimore, MD, 2014. [ bib | link ]
[38] S. Soni, T. Mitra, E. Gilbert, and J. Eisenstein. Modeling factuality judgments in social media text. In Proceedings of the Association for Computational Linguistics (ACL), Baltimore, MD, 2014. [ bib | data | link ]
[39] Y. Yang and J. Eisenstein. Fast easy unsupervised domain adaptation with marginalized structured dropout. In Proceedings of the Association for Computational Linguistics (ACL), Baltimore, MD, 2014. [ bib | code | link ]
[40] Y. Yang and J. Eisenstein. Unsupervised domain adaptation with feature embeddings. Technical Report 1412.4385, 2014. [ bib | arXiv ]
Presented at ICLR 2015
[41] Y. Ji and J. Eisenstein. Discriminative improvements to distributional sentence similarity. In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), pages 891--896, October 2013. [ bib | code | link ]
[42] J. Eisenstein. What to do about bad language on the internet. In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), pages 359--369, 2013. [ bib | link | slides ]
[43] J. Eisenstein. Phonological factors in social media writing. In Proceedings of the Workshop on Language Analysis in Social Media, pages 11--19, Atlanta, 2013. [ bib | link ]
[44] L. Klein and J. Eisenstein. Reading thomas jefferson with topicviz: Towards a thematic method for exploring large cultural archives. Scholarly and Research Communication, 4(3), 2013. [ bib | link ]
[45] A. K. Massey, J. Eisenstein, A. I. Antón, and P. P. Swire. Automated text mining for requirements analysis of policy documents. In RE, pages 4--13, Rio de Janeiro, 2013. [ bib | link ]
[46] R. Trivedi and J. Eisenstein. Discourse connectors for latent subjectivity in sentiment analysis. In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), pages 808--813, 2013. [ bib | link ]
[47] Y. Yang and J. Eisenstein. A log-linear model for unsupervised text normalization. In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), 2013. [ bib | data | code | link | slides ]
[48] D. Bamman, J. Eisenstein, and T. Schnoebelen. Gender in twitter: Styles, stances, and social networks. Technical Report 1210.4567, arXiv, oct 2012. [ bib | arXiv ]
Superseded by our 2014 Journal of Sociolinguistics paper.
[49] J. Eisenstein, B. O'Connor, N. A. Smith, and E. P. Xing. Mapping the geographical diffusion of new words. Technical Report 1210.5268, ArXiV, oct 2012. [ bib | arXiv ]
Superseded by our 2014 PLOS-ONE paper.
[50] J. Eisenstein, D. H. Chau, A. Kittur, and E. Xing. TopicViz: interactive topic exploration in document collections. In Proceedings of CHI: Works-in-progress, pages 2177--2182, Austin, TX, 2012. [ bib | video | link ]
[51] M. Elsner, S. Goldwater, and J. Eisenstein. Bootstrapping a unified model of lexical and phonetic acquisition. In Proceedings of the Association for Computational Linguistics (ACL), pages 184--193, Jeju, Korea, 2012. [ bib | link ]
[52] Q. Ho, J. Eisenstein, and E. P. Xing. Document hierarchies from text and links. In Proceedings of the Conference on World-Wide Web (WWW), pages 739--748, Lyon, France, 2012. [ bib | link ]
[53] A. Ahmed, Q. Ho, C. H. Teo, J. Eisenstein, E. P. Xing, and A. J. Smola. Online inference for the infinite topic-cluster model: Storylines from streaming text. In AISTATS, pages 101--109, Fort Lauderdale, FL, 2011. [ bib | link ]
[54] A. Ahmed, Q. Ho, J. Eisenstein, E. Xing, A. J. Smola, and C. H. Teo. Unified analysis of streaming news. In WWW, pages 267--276, Hyderabad, India, 2011. [ bib | link ]
[55] J. Eisenstein, N. A. Smith, and E. P. Xing. Discovering sociolinguistic associations with structured sparsity. In Proceedings of the Association for Computational Linguistics (ACL), pages 1365--1374, Portland, OR, 2011. [ bib | data | code | link ]
[56] J. Eisenstein, A. Ahmed, and E. P. Xing. Sparse additive generative models of text. In Proceedings of the International Conference on Machine Learning (ICML), pages 1041--1048, 2011. [ bib | code | link | slides ]
[57] J. Eisenstein, T. Yano, W. W. Cohen, N. A. Smith, and E. P. Xing. Structured databases of named entities from bayesian nonparametrics. In Proceedings of the First Workshop on Unsupervised Learning in NLP (at EMNLP), pages 2--12, Edinburgh, UK, 2011. [ bib | link ]
[58] J. Eisenstein, D. H. P. Chau, A. Kittur, and E. P. Xing. TopicViz: Semantic navigation of document collections. Technical Report 1110.6200, ArXiv, 2011. [ bib | arXiv ]
[59] K. Gimpel, N. Schneider, B. O'Connor, D. Das, D. Mills, J. Eisenstein, M. Heilman, D. Yogatama, J. Flanigan, and N. A. Smith. Part-of-speech tagging for Twitter: annotation, features, and experiments. In Proceedings of the Association for Computational Linguistics (ACL), pages 42--47, Portland, OR, 2011. [ bib | link | http | Abstract ]
[60] J. Eisenstein and E. Xing. The CMU 2008 political blog corpus. Technical report, Carnegie Mellon University, 2010. [ bib | data | link ]
[61] J. Eisenstein, B. O'Connor, N. A. Smith, and E. P. Xing. A latent variable model for geographic lexical variation. In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), pages 1277--1287, 2010. [ bib | appendix | link | slides ]
[62] B. O'Connor, J. Eisenstein, E. P. Xing, and N. A. Smith. A mixture model of demographic lexical variation. In Proceedings of NIPS Workshop on Machine Learning for Social Computing, Vancouver, 2010. [ bib | data | link ]
[63] K. Puniyani, J. Eisenstein, S. Cohen, and E. P. Xing. Social links from latent topics in microblogs. In Proceedings of NAACL Workshop on Social Media, Los Angeles, 2010. [ bib | link ]
Winner of the workshop's best presentation award.
[64] T. Naseem, B. Snyder, J. Eisenstein, and R. Barzilay. Multilingual part-of-speech tagging: Two unsupervised approaches. Journal of Artificial Intelligence Research, 36, November 2009. [ bib | link ]
[65] S. Branavan, H. Chen, J. Eisenstein, and R. Barzilay. Learning document-level semantic properties from free-text annotations. Journal of Artificial Intelligence Research, 34(2):569, 2009. [ bib | link ]
[66] J. Eisenstein. Hierarchical text segmentation from multi-scale lexical cohesion. In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), Boulder, CO, 2009. [ bib | code | link ]
Code is provided without guarantees or support of any kind.
[67] J. Eisenstein, J. Clarke, D. Goldwasser, and D. Roth. Reading to learn: constructing features from semantic abstracts. In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), Singapore, 2009. [ bib | link ]
[68] B. Snyder, T. Naseem, J. Eisenstein, and R. Barzilay. Adding more languages improves unsupervised multilingual part-of-speech tagging: A bayesian non-parametric approach. In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), Boulder, CO, 2009. [ bib | link ]
[69] J. Eisenstein and R. Barzilay. Bayesian unsupervised topic segmentation. In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), Honolulu, HI, October 2008. [ bib | code | link ]
[70] B. Snyder, T. Naseem, J. Eisenstein, and R. Barzilay. Unsupervised multilingual learning for POS tagging. In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), Honolulu, HI, October 2008. [ bib | link ]
[71] J. Eisenstein, R. Barzilay, and R. Davis. Discourse topic and gestural form. In AAAI, Chicago, IL, July 2008. [ bib | link ]
[72] S. R. K. Branavan, H. Chen, J. Eisenstein, and R. Barzilay. Learning document-level semantic properties from free-text annotations. In Proceedings of the Association for Computational Linguistics (ACL), Columbus, OH, June 2008. [ bib | link ]
Superseded by our 2009 JAIR paper.
[73] J. Eisenstein, R. Barzilay, and R. Davis. Gestural cohesion for discourse segmentation. In Proceedings of the Association for Computational Linguistics (ACL), Columbus, OH, June 2008. [ bib | link ]
[74] J. Eisenstein. Gesture in Automatic Discourse Processing. PhD thesis, Massachusetts Institute of Technology, 2008. [ bib | link ]
Winner of the George M. Sprowls Distinguished Dissertation Award.
[75] J. Eisenstein, R. Barzilay, and R. Davis. Modeling gesture salience as a hidden variable for coreference resolution and keyframe extraction. Journal of Artificial Intelligence Research, 31:353--398, 2008. [ bib | link ]
[76] J. Eisenstein. Book review: Gesture in Human Computer Interaction and Simulation (edited by Sylvie Gibet, Nicolas Courty and Jean-Francois Kamp). Gesture, 7(1):119--127, May 2007. [ bib ]
[77] J. Eisenstein and R. Davis. Conditional modality fusion for coreference resolution. In Proceedings of the Association for Computational Linguistics (ACL), pages 352--359, Prague, 2007. [ bib | link ]
Superseded by our 2008 JAIR paper.
[78] J. Eisenstein, R. Barzilay, and R. Davis. Turning lectures into comic books with linguistically salient gestures. In AAAI, pages 877--882, Vancouver, 2007. [ bib | link ]
[79] J. Eisenstein. Variational inference in the infinite-mixture hidden markov model. In Proceedings of the CSAIL Student Workshop, Cambridge, MA, 2007. [ bib ]
[80] J. Eisenstein and R. Davis. Gesture features for coreference resolution. In S. Renals, S. Bengio, and J. G. Fiscus, editors, Machine Learning for Multimodal Interaction, Lecture Notes in Computer Science, Berlin, 2006. Springer. [ bib ]
[81] J. Eisenstein and R. Davis. Gesture improves coreference resolution. In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), pages 37--40, New York, NY, 2006. [ bib ]
[82] J. Eisenstein and W. Mackay. Interacting with communication appliances: An evaluation of two computer vision-based selection techniques. In CHI, pages 1111--1114, Montréal, 2006. [ bib ]
[83] A. Adler, J. Eisenstein, M. Oltmans, L. Guttentag, and R. Davis. Building the design studio of the future. In AAAI Workshop on Making Pen-Based Interaction Intelligent and Natural, pages 1--7, Menlo Park, CA, 2004. [ bib | link ]
[84] J. Eisenstein and C. M. Christoudias. A salience-based approach to gesture-speech alignment. In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), pages 25--32, Boston, MA, 2004. [ bib | link ]
[85] J. Eisenstein and R. Davis. Visual and linguistic information in gesture classification. In ICMI, pages 113--120, State College, PA, 2004. [ bib ]
[86] J. Eisenstein, S. Ghandeharizadeh, L. Golubchik, C. Shahabi, D. Yan, and R. Zimmermann. Device independence and extensibility in gesture recognition. In Proceedings of IEEE Virtual Reality, Los Angeles, 2003. [ bib ]
[87] J. Eisenstein. Evolving robocode tank fighters. Technical Report AIM-2003-023, MIT AI Memo, 2003. [ bib ]
[88] L. Bouillon, J. Vanderdonckt, and J. Eisenstein. Model-based approaches to reengineering web pages. In Proceedings of Task Model and Diagrams for User Interface design (TAMODIA), Bucharest, 2002. [ bib | .pdf ]
[89] J. Eisenstein and C. Rich. Agents and GUIs from task models. In Proceedings of Intelligent User Interfaces (IUI), pages 47--54, San Francisco, 2002. [ bib | .pdf ]
[90] A. Puerta and J. Eisenstein. XIML: A universal language for user interfaces. In Proceedings of Intelligent User Interfaces (IUI), San Francisco, 2002. [ bib | link ]
[91] J. Eisenstein, S. Ghandeharizadeh, C. Shahabi, G. Shanbhag, and R. Zimmermann. Alternative representations and abstractions for moving sensors databases. In Proceedings of Conference on Information and Knowledge Management (CIKM), pages 318--325, Atlanta, GA, 2001. [ bib ]
[92] J. Eisenstein, S. Ghandeharizadeh, L. Huang, C. Shahabi, G. Shanbhag, and R. Zimmermann. Analysis of clustering techniques to detect hand signs. In Proceedings of the International Symposium on Intelligent Multimedia, Video and Speech Processing, 2001. [ bib ]
[93] J. Eisenstein, J. Vanderdonckt, and A. R. Puerta. Applying model-based techniques to the development of UIs for mobile computers. In Proceedings of Intelligent User Interfaces (IUI), pages 69--76, Santa Fe, NM, 2001. [ bib ]
[94] J. Eisenstein. Modeling preference for adaptive user interfaces. In Proceedings of Universal Access in Human-Computer Interaction, New Orleans, 2001. [ bib | link ]
[95] J. Eisenstein and A. R. Puerta. Adaptation in automated user-interface design. In Proceedings of Intelligent User Interfaces (IUI), pages 74--81, New Orleans, 2000. [ bib ]
[96] J. Eisenstein, J. Vanderdoncki, and A. Puerta. Adapting to mobile contexts with user-interface modeling. In Proceedings of IEEE Workshop on Mobile Computing Systems and Applications, pages 83--92, Monterey, CA, 2000. [ bib ]
[97] A. R. Puerta and J. Eisenstein. Towards a general computational framework for model-based interface development systems. In Proceedings of Intelligent User Interfaces (IUI), pages 171--178, Redondo Beach, CA, 1999. [ bib ]
[98] A. Puerta and J. Eisenstein. Towards a general computational framework for model-based interface development systems. Knowledge-Based Systems, 12:433--442, 1999. [ bib | official ]

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