Text Machine Lab for NLP | Anna Rumshisky


SELECTED PUBLICATIONS | ALL PUBLICATIONS

Journal papers / Book chapters

  1. Y-F. Luo, W. Sun, A. Rumshisky. MCN: A Comprehensive Corpus for Medical Concept Normalization. Journal of Biomedical Informatics 2019 Feb 22.

  2. A. Rumshisky, M. Ghassemi, T. Neumann, P. Szolovits, V. Castro, T. McCoy, R. Perlis. Predicting early psychiatric readmission with natural language processing of narrative discharge summaries. Translational Psychiatry. 2016.

  3. K. Zheng, V. Vydiswaran, Y. Liu, Y. Wang, A. Stubbs, O. Uzuner, A. Gururaj, S. Bayer, J. Aberdeen, A. Rumshisky, S. Pakhomov, H. Liu, H. Xu. 2015. Ease of adoption of clinical natural language processing software: An evaluation of five systems. J Biomed Inform, 2015 Jul 22.

  4. A. Rumshisky, A. Stubbs. Machine Learning for Higher-Level Linguistic Tasks. In Handbook of Linguistic Annotation, ed. N. Ide and J. Pustejovsky. Berlin: Springer, 2015.

  5. W. Sun, A. Rumshisky, Ö. Uzuner. 2015. Normalization of Relative and Incomplete Temporal Expressions in Clinical Narratives. J Am Med Inform Assoc. 2015 Apr 12.

  6. R. Chasin, A. Rumshisky, Ö. Uzuner, P. Szolovits. 2014. Word sense disambiguation in the clinical domain: a comparison of knowledge-rich and knowledge-poor unsupervised methods. . J Am Med Inform Assoc. 2014 Jan 17.

  7. W. Sun, A. Rumshisky, Ö. Uzuner. 2013. Annotating temporal information in clinical narratives . J Biomed Inform. 2013 Jul 19.

  8. W. Sun, A. Rumshisky, Ö. Uzuner. 2013. Temporal reasoning over clinical text: the state of the art . J Am Med Inform Assoc. 2013 May 15.

  9. W. Sun, A. Rumshisky, Ö. Uzuner. 2013. Evaluating temporal relations in clinical text: 2012 i2b2 Challenge . J Am Med Inform Assoc. 2013 Apr 5.

  10. J. Pustejovsky, A. Rumshisky, O. Batiukova, J. Moszkowicz. Annotation of Compositional Operations with GLML. In H. Bunt, J. Bos and S. Pulman (eds.), Computing Meaning, Volume 4. Springer-Verlag, 2014, pp. 217-234.

  11. S. Bratus, A. Rumshisky, A. Khrabrov, R. Magar, P. Thompson. Domain-Specific Entity Extraction from Noisy, Unstructured Data Using Ontology-Guided Search. In Subramaniam, Lopresti, Roy and Schulz (eds.) Special Issue on Noisy Text Analytics, International Journal of Document Analysis and Recognition (IJDAR). Vol 14(2). Springer-Verlag, 2011.

  12. J. Pustejovsky and A. Rumshisky. 2010. Mechanisms of Sense Extension in Verbs. In G-M de Schryver (ed.) A Way with Words: Recent Advances in Lexical Theory and Analysis. A Festschrift for Patrick Hanks. Kampala: Menha Publishers.

  13. A. Rumshisky. 2008. Resolving Polysemy in Verbs: Contextualized Distributional Approach to Argument Semantics. In A. Lenci (ed.) From Context to Meaning: Distributional Models of the Lexicon in Linguistics and Cognitive Science. Special Issue of the Italian Journal of Linguistics. Rivista di Linguistica, 20(1).

  14. J. Pustejovsky and A. Rumshisky. 2008. Between Chaos and Structure: Interpreting Lexical Data through a Theoretical Lens. In P. Hanks (ed.) Special Issue of the International Journal of Lexicography on the legacy of John Sinclair, Oxford University Press.

Peer-reviewed Conference and Workshop papers

  1. Y.-F. Luo, W. Sun, A. Rumshisky. A Hybrid Normalization Method for Medical Concepts in Clinical Narrative Using Semantic Matching. Proceedings of AMIA Informatics Summit 2019. San Franscisco, CA. [accepted]

  2. O. Kovaleva, A. Rumshisky, A. Romanov. Similarity-Based Reconstruction Loss for Meaning Representation. Proceedings of EMNLP 2018 (short papers). Brussels, Belgium. [bibtex] [code] [link]

  3. Y. Meng, A. Rumshisky. Triad-based Neural Network for Coreference Resolution. Proceedings of COLING 2018. Santa Fe, New Mexico. [updated]

  4. A. Rogers, S. H. Ananthakrishna, A. Rumshisky. What's in Your Embedding, and How It Predicts Task Performance. Proceedings of COLING 2018. Santa Fe, New Mexico. [project page]

  5. A. Rogers, A. Romanov, A. Rumshisky, S. Volkova, M. Gronas, A. Gribov. RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian. Proceedings of COLING 2018. Santa Fe, New Mexico. [bibtex] [project page] [data]

  6. Y. Meng, A. Rumshisky. Context-Aware Neural Model for Temporal Information Extraction. Proceedings of ACL 2018. Melbourne, Australia.

  7. P. Potash, A. Romanov, A. Rumshisky. 2018. Evaluating Creative Language Generation: The Case of Rap Lyric Ghostwriting. 2nd Workshop on Stylistic Variation, NAACL 2018, Jun 5-6, 2018. New Orleans, USA.

  8. Y-F. Luo, W. Sun, A. Rumshisky. A Hybrid Method for Normalization of Medical Concepts in Clinical Narrative. IEEE International Conference on Health Informatics and Health Information Technology 2018, Jun 4-7 2018, New York City, NY.

  9. Y. Meng, A. Rumshisky, F. Sullivan, K. Keith. Automatic Labeling of Problem-Solving Dialogues: an Example of Computational Microgenetic Analytics. Proceedings of LREC 2018. Miyazaki, Japan.

  10. P. Potash, R. Bhattacharya, A. Rumshisky. Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness Proceedings of IJCNLP 2017. Taipei, Taiwan.

  11. W. Boag, E. Sergeeva, S. Kulshreshtha, P. Szolovits, A. Rumshisky, T. Naumann. CliNER 2.0: Accessible and Accurate Clinical Concept Extraction. ML4H: Machine Learning for Health Workshop at NIPS 2017. Long Beach, CA.

  12. A. Rumshisky, M. Gronas, P. Potash, M. Dubov, A. Romanov, S. Kulshreshtha, A. Gribov. Combining Network and Language Indicators for Tracking Conflict Intensity. Proceedings of SocInfo 2017. Oxford, United Kingdom.

  13. P. Potash, A. Rumshisky. Towards Debate Automation: a Recurrent Model for Predicting Debate Winners Proceedings of EMNLP 2017. Denmark, Copenhagen.

  14. Y. Meng, A. Rumshisky, A. Romanov. Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture Proceedings of EMNLP 2017. Denmark, Copenhagen.

  15. P. Potash, A. Romanov, A. Rumshisky. Here's My Point: Joint Pointer Architecture for Argument Mining Proceedings of EMNLP 2017. Denmark, Copenhagen.

  16. P. Potash, A. Romanov, A. Rumshisky, M. Gronas. Tracking Bias in News Sources Using Social Media: the Russia-Ukraine Maidan Crisis of 2013–2014. EMNLP 2017 Workshop "NLP Meets Journalism". Denmark, Copenhagen. (to appear)

  17. A. Romanov, A. Rumshisky. Forced to learn: Discovering disententangled representations without exhaustive labels. (3-page abstract) ICLR (Workshop Track) 2017. Toulon, France.

  18. P. Potash, A. Romanov, A. Rumshisky. SemEval-2017 Task 6: #HashtagWars: Learning a Sense of Humor. The 11th International Workshop on Semantic Evaluation (SemEval-2017). ACL 2017, Aug 3-4, 2016. Vancouver, Canada.

  19. D. Donahue, A. Romanov, A. Rumshisky. HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition. The 11th International Workshop on Semantic Evaluation (SemEval-2017). ACL 2017, Aug 3-4, 2016. Vancouver, Canada.

  20. P. Potash, A. Rumshisky. Recommender System Incorporating User Personality Profile through Analysis of Written Reviews. Proceedings of the EMPIRE workshop at the ACM Conference on Recommender Systems (RecSys 2016). Boston, MA. (accepted)

  21. Y.-F. Luo, A. Rumshisky. Interpretable Topic Features for Post-ICU Mortality Prediction. AMIA 2016. Chicago, IL. (accepted)

  22. W. Boag, R. Campos, K. Saenko, A. Rumshisky. MUTT: Metric Unit TesTing for Language Generation Tasks. ACL 2016. Berlin, Germany. (link)

  23. P. Potash, W. Boag, A. Romanov, V. Ramanishka, A. Rumshisky. SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity. The 10th International Workshop on Semantic Evaluation (SemEval-2016). NAACL HLT 2016, June 16-17, 2016. San Diego, California. (link)

  24. P. Potash, A. Romanov, A. Rumshisky. GhostWriter: Using an LSTM for Automatic Rap Lyric Generation. (short paper) EMNLP 2015.

  25. Y.-F. Luo, A. Rumshisky, M. Gronas. Catching the Red Priest: Using Historical Editions of Encyclopedia Britannica to Track the Evolution of Reputations. The 9th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities. ACL-IJCNLP 2015.

  26. W. Boag, P. Potash, A. Rumshisky. TwitterHawk: A Feature Bucket Approach to Sentiment Analysis. The 9th International Workshop on Semantic Evaluation (SemEval-2015). NAACL HLT 2015, May 31-Jun 5. Dever, Colorado.

  27. W. Boag, K. Wacome, T. Naumann, A. Rumshisky. CliNER: A Lightweight Tool for Clinical Named Entity Recognition. (link) AMIA Joint Summits on Clinical Research Informatics 2015. San Francisco, CA.

  28. M. Ghassemi, T. Naumann, F. Doshi-Velez, N. Brimmer, R. Joshi, A. Rumshisky, P. Szolovits. Unfolding Physiological State: Mortality Modelling in Intensive Care Units. 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2014). New York City, NY.

  29. A. Rumshisky, R. Chasin, P. Potash. Bypassing knowledge acquisition bottleneck with Bayesian word sense induction. NIPS 2013 Workshop on Machine Learning for Clinical Data Analysis and Healthcare. (poster)

  30. R. Chasin, A. Rumshisky. Mixing in Some Knowledge: Enriched Context Patterns for Bayesian Word Sense Induction. Sixth International Workshop On Generative Approaches to the Lexicon (GL2013). Pisa, Italy.

  31. M. Ghassemi, T. Naumann, R. Joshi, A. Rumshisky. Topic Models for Mortality Modeling in Intensive Care Units. ICML Workhop on Machine Learning for Clinical Data Analysis, ICML 2012, Edinburgh, Scotland. (poster)

  32. R. Chasin, A. Rumshisky, Ö. Uzuner, P. Szolovits. Using UMLS for Word Sense Disambiguation in Clinical Notes. AMIA 2012. Chicago, IL.

  33. A. Rumshisky, N. Botchan, S. Kushkuley, J. Pustejovsky. Word Sense Inventories by Non-Experts. LREC 2012. Istambul, Turkey.

  34. M. Gronas, A. Rumshisky, A. Gabrovski, S. Kovaka, H. Chen. Tracking the History of Knowledge Using Historical Editions of Encyclopedia Britannica. Workshop on Adaptation of Language Resources and Tools for Processing Cultural Heritage Objects. LREC 2012. Istambul, Turkey.

  35. A. Rumshisky. Crowdsourcing Word Sense Definition. Fifth Linguistic Annotation Workshop (LAW-V). ACL-HLT2011. Portland, Oregon.

  36. J. Pustejovsky, A. Rumshisky, A. Plotnick, E. Jezek, O. Batiukova, V. Quochi. SemEval-2010 Task 7: Argument Selection and Coercion. Fifth International Workshop on Semantic Evaluation (SemEval-2010). Association for Computational Linguistics. Uppsala, Sweden.

  37. A. Rumshisky, M. Verhagen, J. Moszkowicz. The Holy Grail of Sense Definition: Creating a Sense-Disambiguated Corpus from Scratch. (2009) Fifth International Workshop on Generative Approaches to the Lexicon (GL2009). Pisa, Italy. [slides]

  38. A. Rumshisky, V. Grinberg. Using Semantics of the Arguments for Predicate Sense Induction. (2009) Fifth International Workshop on Generative Approaches to the Lexicon (GL2009). Pisa, Italy. [slides]

  39. S. Bratus, A. Rumshisky, R. Magar, P. Thompson. Using Domain Knowledge for Ontology-Guided Entity Extraction from Noisy, Unstructured Data. Third Workshop on Analytics for Noisy, Unstructured Text Data (AND 2009). Barcelona, Spain.

  40. J. Pustejovsky, A. Rumshisky SemEval-2010 Task 7: Argument Selection and Coercion. NAACL 2009 Workshop on Semantic Evaluations: Recent Achievements and Future Directions (SEW-2009). 2009. Boulder, Colorado USA. (poster)

  41. J. Pustejovsky, A. Rumshisky, J. L. Moszkowicz, O. Batiukova. GLML: Annotating Argument Selection and Coercion. Eighth International Conference on Computational Semantics (IWCS-8). 2009. Tilburg, Netherlands. [updated]

  42. A. Rumshisky, O. Batiukova. Polysemy in Verbs: Systematic Relations between Senses and their Effect on Annotation. COLING Workshop on Human Judgement in Computational Linguistics (HJCL-2008). 2008. Manchester, England. [slides]

  43. A. Rumshisky, V. A. Grinberg, J. Pustejovsky. Detecting Selectional Behavior of Complex Types in Text. Fourth International Workshop on Generative Approaches to the Lexicon. P. Bouillon, L. Danlos, and K. Kanzaki (eds.) 2007. Paris, France. [slides]

  44. C. Havasi, A. Rumshisky, J. Pustejovsky. An Evaluation of the Brandeis Semantic Ontology. Fourth International Workshop on Generative Approaches to the Lexicon. P. Bouillon, L. Danlos, and K. Kanzaki (eds.) 2007. Paris, France.

  45. A. Rumshisky, P. Hanks, C. Havasi, J. Pustejovsky. Constructing a Corpus-based Ontology using Model Bias. FLAIRS 2006, Melbourne Beach, Florida.

  46. A. Rumshisky, J. Pustejovsky. Inducing Sense-Discriminating Context Patterns from Sense-Tagged Corpora. LREC 2006, Genoa, Italy.

  47. B. Wellner, J. Pustejovsky, C. Havasi, A. Rumshisky, R. Sauri. Classification of Discourse Coherence Relations: An Exploratory Study using Multiple Knowledge Sources. 7th SIGdial Workshop on Discourse and Dialogue, Sydney, Australia, 15-16 July 2006.

  48. J. Pustejovsky, C. Havasi, J. Littman, A. Rumshisky, M. Verhagen. Towards a Generative Lexical Resource: The Brandeis Semantic Ontology. LREC 2006, Genoa, Italy. (poster/demo)

  49. M. Verhagen, I. Mani, R. Sauri, J. Littman, R. Knippen, S.B. Jang, A. Rumshisky, J. Phillips, J. Pustejovsky. Automating Temporal Annotation with TARSQI. ACL 2005, Ann Arbor, USA. (demo / short paper)

  50. J. Pustejovsky, P.Hanks, A. Rumshisky. Automated Induction of Sense in Context. COLING 2004, Geneva, Switzerland.

  51. J. Pustejovsky, A. Rumshisky, J. Castano. Rerendering Semantic Ontologies: Automatic Extensions to UMLS through Corpus Analytics. LREC 2002 Workshop on Ontologies and Lexical Knowledge Bases (Ontolex-02). Las Palmas, Canary Islands, Spain.

  52. J. Pustejovsky, J. Castano, R. Sauri, A. Rumshisky, J. Zhang, W. Luo. Medstract: Creating Large-scale Information Servers for Biomedical Libraries. ACL 2002 Workshop on Natural Language Processing in the Biomedical Domain. Philadelphia, PA.

  53. J. Pustejovsky, J. Castano, B. Cochran, M. Kotecki, M. Morrell, A. Rumshisky. Extraction and Disambiguation of Acronym-Meaning Pairs in Medline. Medinfo, 2001.

  54. Futrelle, R., Rumshisky, A. Discourse Structure of Text-Graphics Documents. 1st International Symposium on Smart Graphics, March 21st-23rd 2001. Hawthorne, NY, USA.

Presentations


UMass logo

Department of Computer Science
University of Massachusetts, Lowell

MIT logo CSAIL logo

Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology

Anna Rumshisky
Last modified: Fri Sep 20 16:14:40 EST 2013