Jacob Eisenstein's Publications

[1] S. Wiegreffe, E. Choi, S. Yan, J. Sun, and J. Eisenstein. Clinical concept extraction for document-level coding. In Proceedings of the 18th BioNLP Workshop and Shared Task, pages 261--272, Florence, Italy, Aug. 2019. Association for Computational Linguistics. [ bib | http ]
[2] Y. Pinter, M. Marone, and J. Eisenstein. Character eyes: Seeing language through character-level taggers. In Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, pages 95--102, Florence, Italy, Aug. 2019. Association for Computational Linguistics. [ bib | http ]
[3] J. Eisenstein. Measuring and modeling language change. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorials, pages 9--14, June 2019. [ bib | http ]
[4] J. Eisenstein. Introduction to Natural Language Processing. MIT Press, 2019. [ bib | http ]
[5] F. Liu, L. Zettlemoyer, and J. Eisenstein. The referential reader: A recurrent entity network for anaphora resolution. In Proceedings of the Association for Computational Linguistics (ACL), 2019. [ bib | link ]
[6] X. Han and J. Eisenstein. Unsupervised domain adaptation of contextualized embeddings: A case study in early modern english. arXiv preprint arXiv:1904.02817, 2019. [ bib | .pdf ]
[7] V. Karpukhin, O. Levy, J. Eisenstein, and M. Ghazvininejad. Training on synthetic noise improves robustness to natural noise in machine translation. arXiv preprint arXiv:1902.01509, 2019. [ bib | link ]
[8] S. Soni, S. L. Ramirez, and J. Eisenstein. Detecting social influence in event cascades by comparing discriminative rankers. In T. D. Le, J. Li, K. Zhang, E. K. P. Cui, and A. Hyvärinen, editors, Proceedings of The 2019 ACM SIGKDD Workshop on Causal Discovery, volume 104 of Proceedings of Machine Learning Research, pages 78--99, Anchorage, Alaska, USA, 05 Aug 2019. PMLR. [ bib | .html | .pdf ]
[9] S. Soni, L. F. Klein, and J. Eisenstein. Correcting whitespace errors in digitized historical texts. In Proceedings of SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, 2019. [ bib | http ]
[10] D. Nguyen, M. Liakata, S. DeDeo, J. Eisenstein, D. Mimno, R. Tromble, and J. Winters. How we do things with words: Analyzing text as social and cultural data. arXiv preprint arXiv:1907.01468, 2019. [ bib | link ]
[11] E. Chandrasekharan, U. Pavalanathan, A. Srinivasan, A. Glynn, J. Eisenstein, and E. Gilbert. You can't stay here: The effectiveness of Reddit's 2015 ban through the lens of hate speech. In Proceedings of Computer-Supported Cooperative Work (CSCW), November 2018. [ bib | .pdf ]
[12] E. Chandrasekharan, M. Samory, S. Jhaver, H. Charvat, A. Bruckman, C. Lampe, J. Eisenstein, and E. Gilbert. The internet's hidden rules: An empirical study of reddit norm violations at micro, meso, and macro scales. In Proceedings of Computer-Supported Cooperative Work (CSCW), November 2018. [ bib | .pdf ]
[13] U. Pavalanathan, X. Han, and J. Eisenstein. Mind your POV: Convergence of articles and editors towards wikipedia's neutrality norm. In Proceedings of Computer-Supported Cooperative Work (CSCW), November 2018. [ bib | .pdf ]
[14] Y. Pinter and J. Eisenstein. Predicting semantic relations using global graph properties. In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), November 2018. [ bib | .pdf ]
[15] I. Stewart and J. Eisenstein. Making “fetch” happen: The influence of social and linguistic context on the success of lexical innovations. In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), November 2018. [ bib | http ]
[16] I. Stewart, Y. Pinter, and J. Eisenstein. Sí o no, què penses? catalonian independence and linguistic identity on social media. In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), June 2018. [ bib | .pdf ]
[17] J. Mullenbach, S. Wiegreffe, J. Duke, J. Sun, and J. Eisenstein. Explainable prediction of medical codes from clinical text. In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), June 2018. [ bib | .pdf ]
[18] M. R. B. Balusu, T. Merghani, and J. Eisenstein. Stylistic variation in social media part-of-speech tagging. In NAACL Workshop on Stylistic Variation, June 2018. [ bib | code | .pdf ]
[19] S. F. Kiesling, U. Pavalanathan, J. Fitzpatrick, X. Han, and J. Eisenstein. Interactional stancetaking in online forums. Computational Linguistics, 44(4), 2018. [ bib | http ]
[20] S. Soni, S. L. Ramirez, and J. Eisenstein. Discriminative modeling of social influence for prediction and explanation in event cascades. arXiv preprint arXiv:1802.06138, 2018. [ bib ]
[21] J. Eisenstein. Unsupervised learning for lexicon-based classification. In Proceedings of the National Conference on Artificial Intelligence (AAAI), 2017. [ bib | code | link ]
[22] Y. Pinter, R. Guthrie, and J. Eisenstein. Mimicking word embeddings using subword RNNs. In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), 2017. [ bib | .pdf ]
[23] D. Nguyen and J. Eisenstein. A kernel independence test for geographical language variation. Computational Linguistics, 43, 2017. [ bib | code | link ]
[24] U. Pavalanathan, J. Fitzpatrick, S. F. Kiesling, and J. Eisenstein. A multidimensional lexicon for interpersonal stancetaking. In Proceedings of the Association for Computational Linguistics (ACL), 2017. [ bib | link ]
[25] 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 ]
[26] Y. Yang and J. Eisenstein. Overcoming language variation in sentiment analysis with social attention. Transactions of the Association for Computational Linguistics (TACL), 5, 2017. [ bib | code | link ]
[27] I. Stewart, S. Chancellor, M. D. Choudhury, and J. Eisenstein. #anorexia, #anarexia, #anarexyia: Characterizing online community practices with orthographic variation. In Proceedings of IEEE Big Data: Workshop on Natural Language Processing for Social Media (SocialNLP), 2017. [ bib | .pdf ]
[28] U. Pavalanathan and J. Eisenstein. More emojis, less :) The competition for paralinguistic functions in microblog writing. First Monday, 22(11), November 2016. [ bib | link ]
[29] 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 ]
[30] 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.
[31] 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), 2016. [ bib | http ]
[32] Akanksha and J. Eisenstein. Shallow discourse parsing using distributed argument representations and bayesian optimization. CoRR, abs/1606.04503, 2016. [ bib | http ]
[33] 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 ]
[34] V. Krishnan and J. Eisenstein. Nonparametric bayesian storyline detection from microtexts. In EMNLP Workshop on Computing News Storylines (CNewsStory), 2016. [ bib | link | slides ]
[35] 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), 2016. [ bib | http ]
[36] 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), 2016. [ bib | http ]
[37] P. Bhatia, R. Guthrie, and J. Eisenstein. Morphological priors for probabilistic neural word embeddings. In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), 2016. [ bib | code | preprint ]
[38] L. F. Klein, J. Eisenstein, and I. Sun. Exploratory thematic analysis for digitized archival collections. Digital Scholarship in the Humanities, October 2015. [ bib | link ]
[39] U. Pavalanathan and J. Eisenstein. Audience-modulated variation in online social media. American Speech, 90(2), May 2015. [ bib | preprint | http ]
[40] 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), 2015. [ bib | code | link ]
[41] Y. Yang and J. Eisenstein. Putting things in context: Community-specific embedding projections for sentiment analysis. CoRR, abs/1511.06052, 2015. [ bib | link ]
[42] 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 ]
[43] U. Pavalanathan and J. Eisenstein. Confounds and consequences in geotagged twitter data. In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), 2015. [ bib | .pdf ]
[44] D. Nguyen and J. Eisenstein. A nonparametric test for spatial dependence. Presented at New Ways of Analyzing Variation (NWAV) in Toronto, 2015. [ bib ]
Superseded by our paper in Computational Linguistics.
[45] 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!
[46] 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), 2015. [ bib ]
[47] 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 ]
[48] Y. Ji, T. Cohn, L. Kong, C. Dyer, and J. Eisenstein. Document context language models. In International Conference on Learning Representations, Workshop Track, volume abs/1511.03962, 2015. [ bib | link ]
[49] 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), 2015. [ bib | .pdf ]
[50] J. Eisenstein. Systematic patterning in phonologically-motivated orthographic variation. Journal of Sociolinguistics, 19:161--188, 2015. [ bib | preprint | http ]
[51] J. Eisenstein. Rhetorical patterns in legislative speech. Presented at the Symposium on Text as Data, 2015. [ bib ]
[52] 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), 2015. [ bib | link ]
[53] 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), 2015. [ bib | .pdf ]
[54] 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 ]
[55] Y. Yang and J. Eisenstein. Unsupervised domain adaptation with feature embeddings. Technical Report 1412.4385, 2014. [ bib | arXiv ]
Presented at ICLR 2015
[56] Y. Yang and J. Eisenstein. Fast easy unsupervised domain adaptation with marginalized structured dropout. In Proceedings of the Association for Computational Linguistics (ACL), 2014. [ bib | code | link ]
[57] 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), 2014. [ bib | data | link ]
[58] 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), 2014. [ bib | link ]
[59] Y. Ji and J. Eisenstein. Representation learning for text-level discourse parsing. In Proceedings of the Association for Computational Linguistics (ACL), 2014. [ bib | code | http ]
[60] 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 ]
[61] 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.
[62] 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
[63] 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 ]
[64] 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 ]
[65] 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 ]
[66] 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 ]
[67] A. K. Massey, J. Eisenstein, A. I. Antón, and P. P. Swire. Automated text mining for requirements analysis of policy documents. In Proceedings of Requirements Engineering (RE), pages 4--13, Rio de Janeiro, 2013. [ bib | link ]
[68] 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 ]
[69] 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 ]
[70] 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 ]
[71] 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.
[72] 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.
[73] 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, 2012. [ bib | link ]
[74] 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 ]
[75] 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 ]
[76] 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, 2011. [ bib | link | Abstract ]
[77] 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 ]
[78] 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 ]
[79] 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 ]
[80] 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, 2011. [ bib | link ]
[81] A. Ahmed, Q. Ho, J. Eisenstein, E. Xing, A. J. Smola, and C. H. Teo. Unified analysis of streaming news. In Proceedings of the Conference on World-Wide Web (WWW), pages 267--276, 2011. [ bib | link ]
[82] 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 Proceedings of Artificial Intelligence and Statistics (AISTATS), pages 101--109, Fort Lauderdale, FL, 2011. [ bib | link ]
[83] 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.
[84] 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 ]
[85] 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 ]
[86] J. Eisenstein and E. P. Xing. The CMU 2008 political blog corpus. Technical report, Carnegie Mellon University, 2010. [ bib | data | link ]
[87] 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 ]
[88] 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), 2009. [ bib | link ]
[89] 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), 2009. [ bib | link ]
[90] J. Eisenstein. Hierarchical text segmentation from multi-scale lexical cohesion. In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2009. [ bib | code | link ]
[91] 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--603, 2009. [ bib | link ]
[92] J. Eisenstein, R. Barzilay, and R. Davis. Discourse topic and gestural form. In AAAI, Chicago, IL, July 2008. [ bib | link ]
[93] 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), 2008. [ bib | link ]
[94] 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 ]
[95] 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.
[96] J. Eisenstein, R. Barzilay, and R. Davis. Gestural cohesion for discourse segmentation. In Proceedings of the Association for Computational Linguistics (ACL), 2008. [ bib | link ]
[97] J. Eisenstein and R. Barzilay. Bayesian unsupervised topic segmentation. In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), 2008. [ bib | code | link ]
[98] 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), 2008. [ bib | link ]
Superseded by our 2009 JAIR paper.
[99] 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 ]
[100] J. Eisenstein. Variational inference in the infinite-mixture hidden markov model. In Proceedings of the CSAIL Student Workshop, Cambridge, MA, 2007. [ bib ]
[101] 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 ]
[102] J. Eisenstein and R. Davis. Conditional modality fusion for coreference resolution. In Proceedings of the Association for Computational Linguistics (ACL), pages 352--359, 2007. [ bib | link ]
Superseded by our 2008 JAIR paper.
[103] 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 ]
[104] 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 ]
[105] J. Eisenstein and R. Davis. Gestural cues for sentence segmentation. Technical report, MIT AI Memo, 2005. [ bib ]
[106] J. Eisenstein and R. Davis. Visual and linguistic information in gesture classification. In ICMI, pages 113--120, State College, PA, 2004. [ bib ]
[107] 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, 2004. [ bib | link ]
[108] 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 ]
[109] A. Puerta and J. Eisenstein. Developing a multiple user interface framework for industry. In A. Seffah and H. Javahery, editors, Multiple User Interfaces: Engineering and Application Frameworks. John Wiley and Sons, 2003. [ bib ]
[110] J. Eisenstein. Evolving robocode tank fighters. Technical Report AIM-2003-023, MIT AI Memo, 2003. [ bib ]
[111] 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 ]
[112] A. Puerta and J. Eisenstein. XIML: A universal language for user interfaces. In Proceedings of Intelligent User Interfaces (IUI), 2002. [ bib | link ]
[113] J. Eisenstein and C. Rich. Agents and GUIs from task models. In Proceedings of Intelligent User Interfaces (IUI), pages 47--54, 2002. [ bib | .pdf ]
[114] 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 ]
[115] J. Eisenstein. Modeling preference for adaptive user interfaces. In Proceedings of Universal Access in Human-Computer Interaction, New Orleans, 2001. [ bib | link ]
[116] 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, 2001. [ bib ]
[117] 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 ]
[118] 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 ]
[119] 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 ]
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