Philip Resnik, Selected Publications

Selected Publications and Presentations

Natalia Denisenko, Youzhi Zhang, Chiara Pulice, Shohini Bhattasali, Sushil Jajodia, Philip Resnik, and V.S. Subrahmanian. A Psycholinguistics-Inspired Method to Counter IP Theft using Fake Documents. ACM Transactions on Management Information Systems. March, 2024.
Goel, Pranav, Nikolay Malkin, SoRelle Wyckoff Gaynor, Nebojsa Jojic, K. Miler and Philip Resnik. Donor Activity is Associated with US Legislators' Attention to Political Issues. Accepted to PLOS ONE, to appear.
Bedrick, Steven, Ophir Frieder, Julia Lane, and Philip Resnik. 2023. Food for Thought: The value of competitions for confidential data. Real World Data Science, August 2023. .
Pranav Goel, David Lazer, and Philip Resnik, Mainstream News Articles Co-Shared with Fake News Buttress Misinformation Narratives. International AAAI Conference on Web and Social Media (ICWSM 2023). (Received 2023 ICWSM award for Outstanding Study Design.)
Kelly, Deanna, Glen Coppersmith, John Dickerson, Carol Espy-Wilson, Hanna Michel, and Philip Resnik. "Computationally Scalable and Clinically Sound: Laying the Groundwork to Use Machine Learning Techniques for Social Media and Language Data in Predicting Psychiatric Symptoms." Biological Psychiatry 91, no. 9 (2022): S50. https://doi.org/10.1016/j.biopsych.2022.02.146
Aguirre, Carlos, Mark Dredze, and Philip Resnik. "Using Open-Ended Stressor Responses to Predict Depressive Symptoms across Demographics." arXiv preprint arXiv:2211.07932 (2022). Extended Abstract presented at Machine Learning for Health (ML4H) symposium 2022, November 28th, 2022, New Orleans, United States & Virtual, http://www.ml4h.cc.
Tsakalidis, Adam, Jenny Chim, Iman Munire Bilal, Ayah Zirikly, Dana Atzil-Slonim, Federico Nanni, Philip Resnik et al. "Overview of the CLPsych 2022 shared task: Capturing moments of change in longitudinal user posts." In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology, pp. 184-198. 2022
Alexandra DeLucia, Carlos Aguirre, Aaron Mueller, Shijie Wu, Philip Resnik, and Mark Dredze. Bernice: A Multilingual Pre-trained Encoder for Twitter. EMNLP 2022.
Alexander Miserlis Hoyle, Rupak Sarkar, Pranav Goel, and Philip Resnik. 2022. Are Neural Topic Models Broken?. In Findings of the Association for Computational Linguistics: EMNLP 2022, pages 5321-5344, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.
Philip Resnik, Pranav Goel, Alexander Hoyle, Rupak Sarkar, Josh Hagedorn, Maeve Gearing, and Carol Bruce. A Step-by-Step Protocol for Curation of Topic Models by Subject Matter Experts. (Poster) Text as Data Conference, October 2022.
Goodman KE; Monica Taneja, MHS; Laurence S. Magder, PhD; Philip Resnik, PhD; Mark Sutherland, MD; Scott Sorongon; Eili Y. Klein, PhD; Pranita D. Tamma, MD, MHS; Anthony D. Harris, MD, MPH. A Multi-Center Validation of the Electronic Health Record ‘Admission Source’ Field Against Clinical Notes for Identifying Hospitalized Patients with Long-term Care Facility Exposure. IDWeek 2022 Conference, Oct. 19 – 23, 2022 (Washington, D.C.)
Allison Squires, Patrick Engel, Raymond Aborigo, Maria Anyorikeya, Larissa Burka, Guadalupe Casales, Ho Yu Cheng, Dulamsuren Damiran, Lauren Gerchow, Juanita Jimenez, Shanzida Katun, SangA Lee, Taewha Lee, Jakub Lickiewicz, PhD11, Iwona Malinowska-Lipien, Amal Mobarki, Derby Munoz-Rojas, Laura Ridge, Javier Rodriguez, Paola Saldarriaga, Juliana Smichenko, Roy Thompson, Enkhjargal Yannjmaa, Anna Zisberg, Philip Resnik, and Simon Jones (2022, June). Understanding Global Pandemic Response from Nursing and Midwifery Perspectives. In: Academy Health Annual Research Meeting. Washington, DC.
Squires, A., Clark-Cutaia, M., Henderson, M., Arneson, G., Resnik, P. (2022). Should I stay or should I go? Nurses' Perspectives About Working During the Covid-19 Pandemic in the United States: A Summative Content Analysis Combined with Topic Modelling. International Journal of Nursing Studies.
Christian Brodbeck, Shohini Bhattasali, Aura A. L. Cruz Heredia, Philip Resnik, Jonathan Z. Simon, and Ellen Lau, ``Parallel processing in speech perception with local and global representations of linguistic context'', eLife 2022;11:e72056 DOI: 10.7554/eLife.72056.
Bhattasali, Shohini, and Philip Resnik. Using surprisal and fMRI to map the neural bases of broad and local contextual prediction during natural language comprehension. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pp. 3786-3798. 2021.
Hoyle, Alexander, Pranav Goel, Denis Peskov, Andrew Hian-Cheong, Jordan Boyd-Graber, and Philip Resnik. Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence. Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021). arXiv preprint arXiv:2107.02173 (2021).
Macavaney, Sean, Anjali Mittu, Glen Coppersmith, Jeff Leintz, and Philip Resnik. Community-level research on suicidality prediction in a secure environment: Overview of the CLPsych 2021 shared task. In Proceedings of the Seventh Workshop on Computational Linguistics and Clinical Psychology: Improving Access, pp. 70-80. 2021.
Resnik P, De Choudhury M, Musacchio Schafer K, Coppersmith G. Bibliometric Studies and the Discipline of Social Media Mental Health Research. Comment on 'Machine Learning for Mental Health in Social Media: Bibliometric Study'. J Med Internet Res 2021;23(6):e28990, doi: 10.2196/28990, PMID: 34137722.
Argyle, Daniel, Argyle, Lisa P., Eidelman, Vlad and Resnik, Philip. Debate Reaction Ideal Points: Political Ideology Measurement Using Real-Time Reaction Data, Statistics, Politics and Policy, 2021.
Schafer, Katherine M., Grace Kennedy, Austin Gallyer, and Philip Resnik. A direct comparison of theory-driven and machine learning prediction of suicide: A meta-analysis. PloS One 16, no. 4 (2021): e0249833.
Philip Resnik, Glen Coppersmith, , John P. Dickerson, Carol Espy-Wilson, and Deanna L. Kelly. Achieving Scalability without Sacrificing Validity: Clinical Validation of Online Self-Report Scales for Schizophrenia and Depression. ICML 2021 Workshop on Computational Approaches to Mental Health (CA2MH) at the 38th International Conference on Machine Learning, PMLR 2021.
Kelly, Deanna L., Max Spaderna, Vedrana Hodzic, Glen Coppersmith, Shuo Chen, and Philip Resnik. "Can language use in social media help in the treatment of severe mental illness?" Current Research in Psychiatry 1, no. 1 (2021): 1-4.
Inkster, B. and Digital Mental Health Data Insights Group (DMHDIG)(2021) Early Warning Signs of a Mental Health Tsunami: A Coordinated Response to Gather Initial Data Insights From Multiple Digital Services Providers. Front. Digit. Health. 2021 Feb 10;2:578902.
Hoyle, Alexander, Pranav Goel, and Philip Resnik. Improving Neural Topic Models using Knowledge Distillation. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP2020), pages 1752-1771, November 16-20, 2020.
Resnik, P., Katherine E Goodman and M. Moran. Developing a Curated Topic Model for COVID-19 Medical Research Literature. Workshop on NLP for COVID, NLP4COVID@EMNLP (2020).
Resnik, P., Foreman A., Kuchuk M., Musacchio Schafer, K., Pinkham, B., et al. Naturally occurring language as a source of evidence in suicide prevention. Suicide and Life Threatening Behavior, 2020;00:1-9.
Kelly, Deanna L., Max Spaderna, Vedrana Hodzic, Suraj Nair, Christopher Kitchen, Anne E. Werkheiser, Megan M. Powell, Fang Liu, Glen Coppersmith, Shuo Chen, and Philip Resnik, Blinded Clinical Ratings of Social Media Data are Correlated with In-Person Clinical Ratings in Participants Diagnosed with Either Depression, Schizophrenia, or Healthy Controls. Psychiatry Research 294 (2020): 113496.
Shohini Bhattasali and Philip Resnik, "Neurocognitive correlates of broad and local context cues during natural language comprehension", [Poster Presentation], 2020 Meeting of the Society for the Neurobiology of Language (SNL2020), October 21-24, 2020.
Samuel Dooley, Candice Schumann, Han-Chin Shing, John P Dickerson, and Philip Resnik, "A Multi-Stage Human-Machine Framework for Mental Health Risk Assessment", poster, ICML 2020 Workshop on Machine Learning for Global Health, July 18, 2020.
Shing, Han-Chin, Philip Resnik, and Douglas W. Oard, A Prioritization Model for Suicidality Risk Assessment, Annual Conference of the Association for Computational Linguistics (ACL2020), July 2020.
Barrow, Joe, Rajiv Jain, Vlad I. Morariu, Varun Manjunatha, Philip Resnik, Douglas W. Oard, A Joint Model for Document Segmentation and Segment Labeling, Annual Conference of the Association for Computational Linguistics (ACL2020), July 2020.
Bhattasali, S. and Resnik, P. (2020). Investigating the role of context in comprehension using topical surprisal: An fMRI study [Conference presentation]. 33rd Annual CUNY Sentence Processing Conference (CUNY 2020), Amherst, MA, US.
Muller, H., Resnik, P., and Philips, C. (2020). Explaining item-wise variability in Moses illusions [Conference presentation]. 33rd Annual CUNY Sentence Processing Conference (CUNY 2020), Amherst, MA, US.
Muller, H., Joly, C., de Dios Flores, I., Resnik, P., and Philips, C. (2020). Timing and (mis)interpretation of NPI illusions. 33rd Annual CUNY Sentence Processing Conference (CUNY 2020), Amherst, MA, US.
Zirikly, Ayah, Philip Resnik, Ozlem Uzuner, and Kristy Hollingshead. CLPsych 2019 shared task: Predicting the degree of suicide risk in Reddit posts. In Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology, pp. 24-33. 2019.
Shing, Han-Chin, Guoli Wang, and Philip Resnik. Assigning Medical Codes at the Encounter Level by Paying Attention to Documents. In Machine Learning for Health Workshop at NeurIPS, 2019.
Han-Chin Shing, Joe Barrow, Petra Galuščáková, Douglas W. Oard, and Philip Resnik, Unsupervised System Combination for Set-based Retrieval with Expectation Maximization, In International Conference of the Cross-Language Evaluation Forum for European Languages (CLEF 2019), pp. 191-197. Springer, Cham, 2019.
Allyson Ettinger, Ahmed Elgohary, Colin Phillips, and Philip Resnik, Assessing composition in sentence vector representations. Proceedings of the 27th International Conference on Computational Linguistics (COLING), 2018.
Shing, Han-Chin, Suraj Nair, Ayah Zirikly, Meir Friedenberg, Hal Daumé III, and Philip Resnik. "Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings" In Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, pp. 25-36. 2018.
Loveys, Kate, Kate Niederhoffer, Emily Prud’hommeaux, Rebecca Resnik, and Philip Resnik. "Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic". In Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic. 2018.
Lynn, Veronica, Alissa Goodman, Kate Niederhoffer, Kate Loveys, Philip Resnik, and H. Andrew Schwartz. "CLPsych 2018 Shared Task: Predicting Current and Future Psychological Health from Childhood Essays". In Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, pp. 37-46. 2018.
Weiwei Yang, Jordan Boyd-Graber, and Philip Resnik, "Adapting Topic Models using Lexical Associations with Tree Priors", Empirical Methods in Natural Language Processing (EMNLP), September 2017, Copenhagen.
Andrew Stavisky and Philip Resnik, "An Introduction to Practical Text Analytics for Qualitative Research", short course, American Association for Public Opinion Research (AAPOR) conference, New Orleans, May 18, 2017.
Philip Resnik, Amber Boydstun, Rebecca Glazier, and Matthew Pietryka, Scalable Multidimensional Response Measurement using a Mobile Platform, In Political Communication in Real Time, eds. Dan Schill, Rita Kirk, and Amy Jasperson, Routledge, 2016.
White, A. S., V. Hacquard, P. Resnik & J. Lidz. (2016). The contextual modulation of semantic information. Under revision for Cognitive Science.
Daniel Argyle, Philip Resnik, and Vladimir Eidelman, "Using Ideal Point Models to Characterize Political Reactions in Non-Political Actors", Presented at Seventh Annual Conference on New Directions in Analyzing Text as Data, Northeastern University, October 14, 2016.
Weiwei Yang, Jordan Boyd-Graber, and Philip Resnik, A Discriminative Topic Model using Document Network Structure, Association for Computational Linguistics (ACL), 2016, Berlin, Germany.
Hadi Amiri, Philip Resnik, Jordan Boyd-Graber, and Hal Daumé III. Learning Text Pair Similarity with Context-sensitive Autoencoders, In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL'16). Berlin, Germany.
Ettinger, A., Resnik, P., Carpuat, M. (2016). Retrofitting sense-specific word vectors using parallel text. Proceedings of NAACL HLT 2016, pages 1378-1383, San Diego, California, June 12-17, 2016.
Ettinger, A., Feldman, N.H., Resnik, P., Phillips, C. (2016). Modeling N400 amplitude using vector space models of word representation. Proceedings of the 38th Annual Conference of the Cognitive Science Society.
Amber E. Boydstun, Ross Butters, Dallas Card, Philip Resnik, and Noah Smith, "Under What Conditions Does Media Framing Influence Public Opinion on Immigration?" Presented at Midwest Political Science Association, April 8, 2016.
Lingzi Hong, Weiwei Yang, Philip Resnik, and Vanessa Frias-Martinez, Uncovering Topic Dynamics of Social Media and News: The Case of Ferguson, International Conference on Social Informatics (SocInfo), 2016, Bellevue, WA, USA.
Ettinger, A., Elgohary, A., Resnik, P. "Probing for semantic evidence of composition by means of simple classification tasks". Proceedings of the First Workshop on Evaluating Vector Space Representations for NLP (2016): 134-139. (Best Proposal Award)
Ayah Zirikly, Varun Kumar, Philip Resnik, The GW/UMD CLPsych 2016 Shared Task System, Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, pages 166-170, San Diego, California, June 16, 2016.
Meir Friedenberg, Hadi Amiri, Hal Daumé, Philip Resnik, The UMD CLPsych 2016 Shared Task System: Text Representation for Predicting Triage of Forum Posts about Mental Health, Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, pages 158-161, San Diego, California, June 16, 2016.
Sudha Rao, Yogarshi Vyas, Hal Daumé III, and Philip Resnik, Parser for Abstract Meaning Representation using Learning to Search", NAACL 2016 Workshop on Meaning Representation Parsing.
Aaron Steven White, Valentine Hacquard, Philip Resnik, and Jeffrey Lidz, ``Subcategorization frame entropy in online verb-learning'', Poster, 29th Annual CUNY Conference on Human Sentence Processing, University of Florida. March 3-5, 2016.
Weiwei Yang, Jordan Boyd-Graber, and Philip Resnik, Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors, Empirical Methods in Natural Language Processing (EMNLP), 2015, Lisbon, Portugal.
Dallas Card, Amber E. Boydstun, Justin H. Gross, Philip Resnik and Noah A. Smith, “The Media Frames Corpus: Annotations of Frames Across Issues”, Association for Computational Linguistics Conference (ACL), Beijing, July, 2015.
Viet-An Nguyen, Jordan Boyd-Graber, Philip Resnik, and Kristin Miler. ``Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress'', Association for Computational Linguistics Conference (ACL), Beijing, July, 2015.
Amittai Axelrod, Philip Resnik, Xiaodong He, Mari Ostendorf, Data Selection With Fewer Words, Proceedings of the Tenth Workshop on Statistical Machine Translation, pages 58-65, Lisbon, Portugal, 17-18 September 2015.
Philip Resnik, William Armstrong, Leonardo Claudino, Thang Nguyen, Viet-An Nguyen, and Jordan Boyd-Graber, ``Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter'', NAACL Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2015), Denver, Colorado, USA.
Philip Resnik, William Armstrong, Leonardo Claudino, and Thang Nguyen, The University of Maryland CLPsych 2015 shared task system, NAACL Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2015), Denver, Colorado, USA.
Sudha Rao, Allyson Ettinger, Hal Daume III, and Philip Resnik, "Dialogue focus tracking for zero pronoun resolution", NAACL 2015, Denver, Colorado, June 2015.
Philip Resnik, ``Topic Discovery in Text-Driven Social Science Research'', Presentation at American Association for Public Opinion Research (AAPOR) conference, Hollywood, FL, May 18, 2015.
Viet-An Nguyen, Jordan Boyd-Graber, Philip Resnik. Learning a Concept Hierarchy from Multi-labeled Documents, Neural Information Processing Systems (NIPS) 2014.
Viet-An Nguyen, Jordan Boyd-Graber, Philip Resnik. Sometimes Average is Best: The Importance of Averaging for Prediction using MCMC Inference in Topic Modeling. Conference on Empirical Methods in Natural Language Processing (EMNLP 2014, short paper), Doha, Qatar, 2014.
Mohit Iyyer, Peter Enns, Jordan Boyd-Graber, and Philip Resnik. Political Ideology Detection Using Recursive Neural Networks. Association for Computational Linguistics, 2014.
Junhui Li, Yuval Marton, Philip Resnik, and Hal Daume III. A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL '14), Baltimore, US, Jun 2014.
Viet-An Nguyen, Jordan Boyd-Graber, and Philip Resnik, "Lexical and Hierarchical Topic Regression", NIPS 2013.
Viet-An Nguyen, Jordan Boyd-Graber, Jonathan Chang and Philip Resnik, Tree-based Label Dependency Topic Models, NIPS 2013 workshop on Topic Models: Computation, Application, and Evaluation.
Vladimir Eidelman, Ke Wu, Ferhan Ture, Philip Resnik, and Jimmy Lin. "Towards efficient large-scale feature rich statistical machine translation", Proceedings of the Eighth Workshop on Statistical Machine Translation, pp. 126-131. 2013.
Viet-An Nguyen, Jordan Boyd-Graber, Philip Resnik, Deborah Cai, Jennifer Midberry, Yuanxin Wang, "Modeling topic control to detect influence in conversations using nonparametric topic models", Machine Learning, October 2013.
Philip Resnik, Andy Garron, and Rebecca Resnik, "Using Topic Modeling to Improve Prediction of Neuroticism and Depression in College Students", Poster, EMNLP 2013.
Vlad Eidelman, Yuval Marton, and Philip Resnik, Online Relative Margin Maximization for Statistical Machine Translation, ACL 2013.
Junhui Li, Hal Daume, and Philip Resnik, "Modeling Syntactic and Semantic Structures in Hierarchical Phrase-based Translation", NAACL-HLT 2013.
Viet An Nguyen, Yuening Hu, Jordan Boyd-Graber and Philip Resnik, Argviz: Interactive Visualization of Topic Dynamics in Multi-party Conversations, NAACL-HLT 2013 (Demonstration track).
Vlad Eidelman, Ke Wu, Ferhan Ture Philip Resnik, and Jimmy Lin, Mr. MIRA: Open-Source Large-Margin Structured Learning on MapReduce, System Demo paper at ACL 2013.
Amber Boydstun, Rebecca A. Glazier, Timothy Jurka, Matthew T. Pietryka, and Philip Resnik, The Role of Individual Issue Priorities: Evidence from Real-Time Reactions to a 2012 Presidential Debate, Midwest Political Science Association, Chicago, April 2013.
V. Eidelman, J. Boyd-Graber, and P. Resnik, Topic Models for Dynamic Translation Model Adaptation, In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL), July 2012.
Viet-An Nguyen, Jordan Boyd-Graber, and Philip Resnik, SITS: A Hierarchical Nonparametric Model using Speaker Identity for Topic Segmentation in Multiparty Conversations, The 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012), Jeju, Korea, July 2012.
Ferhan Ture, Douglas W. Oard, and Philip Resnik. Encouraging Consistent Translation Choices. Proc. of Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT ‘12), 2012.
C. Hu, Y. Kronrod, P. Resnik, B. Bederson, “Deploying MonoTrans Widgets in the Wild”, ACM CHI 2012, 2012.
Philip Resnik, Olivia Buzek, Yakov Kronrod, Chang Hu, Alexander J. Quinn, Benjamin B. Bederson, Using Targeted Paraphrasing and Monolingual Crowdsourcing to Improve Translation, ACM Transactions on Intelligent Systems and Technology, 4 (3), Article 38 (July 2013).
Yuval Marton, David Chiang, and Philip Resnik, ``Soft syntactic constraints for Arabic-English hierarchical phrase-based translation'', Machine Translation, Volume 26, Issue 1 (2012), pages 137-157.
Chang Hu, Philip Resnik, Yakov Kronrod, Vladimir Eidelman, Olivia Buzek, Benjamin B. Bederson, "The Value of Monolingual Crowdsourcing in a Real-World Translation Scenario: Simulation using Haitian Creole Emergency SMS Messages", WMT 2011.
Vladimir Eidelman, Kristy Hollingshead, and Philip Resnik, "Noisy SMS Machine Translation in Low-Density Languages", Workshop on Machine Translation (WMT) 2011.
Pranav Anand, Joseph King, Jordan Boyd-Graber, Earl Wagner, Craig Martell, Doug Oard, and Philip Resnik, "Believe Me -- We Can Do This! Annotating Persuasive Acts in Blog Text", AAAI Workshop on Computational Models of Natural Argument, 2011.
C. Hu, B. Bederson, P. Resnik, Y. Kronrod, “MonoTrans2: A New Human Computation System to Support Monolingual Translation”, ACM CHI 2011, May 2011
Philip Resnik, Chris Dyer, and Smaranda Muresan, "Lattice Decoding for Hierarchical Models", in Olive, Joseph; Christianson, Caitlin; McCary, John (Eds.), Handbook of Natural Language Processing and Machine Translation, Springer, ISBN 978-1-4419-7712-0, 2011.
Eric Hardisty, Jordan Boyd-Graber, and Philip Resnik. Modeling Perspective using Adaptor Grammars. Empirical Methods in Natural Language Processing, Cambridge, MA, October 2010.
Jordan Boyd-Graber and Philip Resnik. Holistic Sentiment Analysis Across Languages: Multilingual Supervised Latent Dirichlet Allocation, Empirical Methods in Natural Language Processing, Cambridge, MA, October 2010.
Philip Resnik, Olivia Buzek, Chang Hu, Yakov Kronrod, Alex Quinn and Benjamin B. Bederson, “Improving Translation via Targeted Paraphrasing”, Empirical Methods in Natural Language Processing, Cambridge, MA, October 2010.
Hendra Setiawan, Chris Dyer and Philip Resnik, “Discriminative Word Alignment with a Function Word Reordering Model”, Empirical Methods in Natural Language Processing, Cambridge, MA, October 2010.
Chris Dyer, Adam Lopez, Juri Ganitkevitch, Jonathan Weese, Ferhan Ture, Phil Blunsom, Hendra Setiawan, Vladimir Eidelman and Philip Resnik, "cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models", System Demonstration Session, ACL 2010.
Olivia Buzek, Philip Resnik, and Benjamin B. Bederson, Error Driven Paraphrase Annotation using Mechanical Turk. 2010. Proceedings of the NAACL Workshop on Creating Speech and Language Data With Amazon’s Mechanical Turk.
Nitin Madnani, Jordan Boyd-Graber and Philip Resnik.Measuring Transitivity using Untrained Annotators. 2010. Proceedings of the NAACL Workshop on Creating Speech and Language Data With Amazon’s Mechanical Turk.
Chris Dyer and Philip Resnik, "Context-free reordering, finite-state translation", Human Language Technologies: The 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics, Los Angeles, June 1-6, 2010.
Hendra Setiawan and Philip Resnik, ``Generalizing Hierarchical Phrase-based Translation using Rules with Adjacent Nonterminals'', Human Language Technologies: The 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics, Los Angeles, June 1-6, 2010.
Philip Resnik and Jimmy Lin, ``Evaluation of NLP Systems'', in Alex Clark, Chris Fox, and Shalom Lappin (eds.), Handbook of Computational Linguistics and Natural Language Processing, Wiley Blackwell, June 2010.
Philip Resnik and Eric Hardisty, Gibbs Sampling for the Uninitiated. Technical report, June 2010. University of Maryland techreport numbers CS-TR-4956, UMIACS-TR-2010-04, LAMP-153. (This replaces our unpublished manuscript, Version 0.3, October 2009 and the April 2010 techreport. It contains a number of corrections. See the errata page for an updated list of any further corrections.)
Tim Hawes, Jimmy Lin, and Philip Resnik, "Elements of a Computational Model for Multi-Party Discourse: The Turn-Taking Behavior of Supreme Court Justices", Journal of the American Society for Information Science and Technology, Volume 60 Issue 8, August 2009.
Hendra Setiawan, Min Yen Kan, Haizhou Li and Philip Resnik, "Topological Ordering of Function Words in Hierarchical Phrase-based Translation", Joint conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP), Singapore, August 2009.
Yuval Marton, Saif Mohammad, and Philip Resnik. ``Estimating Semantic Distance Using Soft Semantic Constraints in Knowledge-Source / Corpus Hybrid Models''. Conference on Empirical Methods in Natural Language Processing (EMNLP). Singapore, August 6-7, 2009.
Yuval Marton, Chris Callison-Burch, and Philip Resnik. ``Improved Statistical Machine Translation Using Monolingually-derived Paraphrases''. Conference on Empirical Methods in Natural Language Processing (EMNLP). Singapore, August 6-7, 2009.
Chris Dyer, Hendra Setiawan, Yuval Marton, and Philip Resnik, The University of Maryland Statistical Machine Translation System, Third Workshop on Machine Translation, 2009.
Stephan Greene and Philip Resnik, More Than Words: Syntactic Packaging and Implicit Sentiment, NAACL 2009, Boulder, CO, May 31 - June 5, 2009.
Nitin Madnani, Philip Resnik, Bonnie J. Dorr & Richard Schwartz, Are Multiple Reference Translations Necessary? Investigating the Value of Paraphrased Reference Translations in Parameter Optimization, Proceedings of the Eighth Conference of the Association for Machine Translation in the Americas (AMTA 2008).
Nitin Madnani, Philip Resnik, Bonnie Dorr and Richard Schwartz. Applying Automatically Generated Semantic Knowledge: A Case Study in Machine Translation. 2008. NSF Symposium on Semantic Knowledge Discovery, Organization and Use.
David Chiang, Yuval Marton, and Philip Resnik, Online Large-Margin Training of Syntactic and Structural Translation Features, EMNLP, Fall 2008.
Chris Dyer, Smaranda Muresan, and Philip Resnik, Generalizing Word Lattice Translation, ACL 2008.
Yuval Marton and Philip Resnik, Soft Syntactic Constraints for Hierarchical Phrased-Based Translation, ACL 2008.
Daniel Zeman and Philip Resnik, Cross-Language Parser Adaptation between Related Languages, Proceedings of IJCNLP 2008 Workshop on NLP for Less Privileged Languages. Hyderabad, India, 2008.
Philip Resnik, Review of Treebanks: Building and Using Parsed Corpora, Language 83(4), 2007, pp. 876-879.
Nitin Madnani, Necip Fazil Ayan, Philip Resnik, and Bonnie Dorr. Using Paraphrases for Parameter Tuning in Statistical Machine Translation. 2007. ACL Workshop on Statistical Machine Translation, Prague.
Saif Mohammad, Graeme Hirst, and Philip Resnik, "Distributional profiles of concepts for Unsupervised Word Sense Disambigution", In Proceedings of the Fourth International Workshop on the Evaluation of Systems for the Semantic Analysis of Text (SemEval-07), June 2007, Prague, Czech Republic.
Anita Komlodi, Jade Alburo, Jenny Preece, Allison Druin, Weimin Hou, Sabrina Liao, Aaron Elkiss, and Philip Resnik, ``Evaluating a Cross-Cultural Children's Online Book Community: Lessons Learned for Sociability, Usability, and Cultural Exchange'', Interacting with Computers, Volume 19, Issue 4, July 2007, pp. 494-511.
NLP (Natural Language Processing) from a CAC (Computer Assisted Coding) Perspective, and Vice Versa, 79th AHIMA Convention and Exhibit, American Hospital Information Management Association, October 7, 2007.
Adam Lopez and Philip Resnik, "Word-Based Alignment, Phrase-Based Translation: What's the Link?", AMTA 2006, Cambridge, MA.
Grazia Russo-Lassner, Jimmy Lin, and Philip Resnik. A Paraphrase-Based Approach to Machine Translation Evaluation. Technical Report LAMP-TR-125/CS-TR-4754/UMIACS-TR-2005-57, University of Maryland, College Park, August 2005.
Okan Kolak and Philip Resnik, "OCR Post-Processing for Low Density Languages", HLT/EMNLP 2005, Vancouver, October 2005.
David Chiang, Adam Lopez, Nitin Madnani, Christof Monz, Philip Resnik, and Michael Subotin, "The Hiero Machine Translation System: Extensions, Evaluation, and Analysis", HLT/EMNLP 2005, Vancouver, October 2005.
Adam Lopez and Philip Resnik, "Pattern Visualization for Machine Translation Output", Demonstration session of HLT/EMNLP 2005, Vancouver, October 2005.
Clara Cabezas and Philip Resnik, ``Using WSD Techniques for Lexical Selection in Statistical Machine Translation'', Technical report CS-TR-4736/LAMP-TR-124/UMIACS-TR-2005-42, July 2005.
Tapas Kanungo, Philip Resnik, Song Mao, Doe-Wan Kim, and Qigong Zheng, "The Bible and Multilingual Optical Character Recognition", Communications of the Association for Computing Machinery (CACM) 48(6), pp. 124-130, June 2005
Adam Lopez and Philip Resnik, ``Improved HMM Alignment Models for Languages with Scarce Resources''. In P. Koehn et al., eds., Proceedings of the ACL 2005 Workshop on Parallel Text, June 29-30 2005, pp. 83-86.
Rebecca Hwa, Philip Resnik, Amy Weinberg, Clara Cabezas, and Okan Kolak, "Bootstrapping Parsers via Syntactic Projection across Parallel Texts", Natural Language Engineering, Volume 11, Issue 03, September 2005, pp 311-325.
Gina-Anne Levow, Douglas W. Oard, and Philip Resnik, "Dictionary-Based Techniques for Cross-Language Information Retreval", Information Processing and Management, 41, May 2005, pp. 523-547.
Philip Resnik and Aaron Elkiss, "The Linguist's Search Engine: An Overview". Proceedings of ACL 2005 (Demonstration Section), 2005.
Philip Resnik, Aaron Elkiss, Ellen Lau, and Heather Taylor, "The Web in Theoretical Linguistics Research: Two Case Studies Using the Linguist's Search Engine", 31st Meeting of the Berkeley Linguistics Society, February 2005, pp. 265-276. [paper, presentation]
Philip Resnik, "Word Sense Disambiguation in NLP Applications", in Eneko Agirre and Philip Edmonds (eds.), Word Sense Disambiguation: Algorithms and Applications, Kluwer (2006).
Rebecca Green, Bonnie Dorr, and Philip Resnik, ``Inducing Frame Semantic Verb Classes from WordNet and LDOCE'', Proceedings of ACL-2004, July 2004.
Philip Resnik, ``Exploiting Hidden Meanings: Using Bilingual Text for Monolingual Annotation''. In Alexander Gelbukh (ed.), Lecture Notes in Computer Science 2945: Computational Linguistics and Intelligent Text Processing, Springer, 2004, pp. 283-299.
Philip Resnik and Aaron Elkiss. The Linguist's Search Engine: Getting Started Guide. Technical Report: LAMP-TR-108/CS-TR-4541/UMIACS-TR-2003-109, University of Maryland, College Park, November 2003. [Abstract; figures are most readable in the .doc version, but the report is also available as PDF] Important note: The detailed instructions in this techreport are out of date. See the LSE project page for updates.
Nicol, Tamara; Landau, Barbara; & Resnik, Philip. 2003. Discovering the Invisible: Children's Acquisition of the Implicit Object Construction. Poster presented at Boston University Conference on Language Development (BUCLD), Boston, MA, October 31-November 2.
Nicol, Tamara; Landau, Barbara; & Resnik, Philip. 2003. The Role of Object Typicality in 2- to 4-Year-Old Children's Acquisition of the Implicit Object Construction. Paper presented at ICCS/ASCS Joint International Conference on Cognitive Science, University of New South Wales, Sydney, Australia, July 13-17.
Philip Resnik and Noah A. Smith, " The Web as a Parallel Corpus", Computational Linguistics 29(3), pp. 349-380, September 2003. (Earlier version appeared as University of Maryland technical report UMIACS-TR-2002-61, July 2002.)
Oard, Douglas W., David Doermann, Bonnie Dorr, Daqing He, Philip Resnik, Amy Weinberg, William Byrne, Sanjeev Khudanpur David Yarowsky, Anton Leuski, Philipp Koehn, and Kevin Knight, "Desperately Seeking Cebuano", Proceedings of the HLT-NAACL Conference, Late Breaking Results, Edmonton, Canada, pp. 76--78, 2003.
Okan Kolak, Philip Resnik, and William Byrne, ``A Generative Probabilistic OCR Model for NLP Applications'', Proceedings of HLT-NAACL, May 2003.
Philip Resnik, "Word Sense Ambiguity". International Encyclopedia of Linguistics, 2nd edition. William J. Frawley, editor. Oxford University Press: Oxford, England, 2003.
Philip Resnik and Judith L. Klavans "Applications of Language Technology". International Encyclopedia of Linguistics, 2nd edition. William J. Frawley, editor. Oxford University Press: Oxford, England, 2003.
Douglas Oard, Dina Demner-Fushman, Jan Hajic, Bhuvana Ramabhadran, Samuel Gustman, William Byrne, Dagobert Soergel, Bonnie Dorr, Philip Resnik, and Michael Picheny, ``Cross-Language Access to Recorded Speech in the MALACH Project'', Fifth International Conference on Text, Speech, and Dialogue (TSD 2002), Brno, Czech Republic, September 9-12, 2002.
Rebecca Hwa, Philip Resnik, Amy Weinberg, and Okan Kolak, ``Evaluating Translational Correspondence using Annotation Projection'' 40th Anniversary Meeting of the Association for Computational Linguistics (ACL-02), Philadelphia, July, 2002.
Mona Diab and Philip Resnik, ``An Unsupervised Method for Word Sense Tagging using Parallel Corpora'' , 40th Anniversary Meeting of the Association for Computational Linguistics (ACL-02), Philadelphia, July, 2002. [postscript version]
Rebecca Hwa, Philip Resnik, and Amy Weinberg, ``Breaking The Resource Bottleneck For Multilingual Parsing'' , Workshop on ``Linguistic Knowledge Acquisition and Representation: Bootstrapping Annotated Language Data'', Third International Conference on Language Resources and Evaluation (LREC-2000), Las Palmas, Canary Islands, Spain, June 1, 2002.
Adam Lopez, Michael Nossal, Rebecca Hwa, and Philip Resnik, ``Word-Level Alignment For Multilingual Resource Acquisition'', Workshop on ``Linguistic Knowledge Acquisition and Representation: Bootstrapping Annotated Language Data'', Third International Conference on Language Resources and Evaluation (LREC-2000), Las Palmas, Canary Islands, Spain, June 1, 2002.
Okan Kolak and Philip Resnik, ``OCR Error Correction Using a Noisy Channel Model'', Poster and notebook paper, Human Language Technology Conference (HLT 2002), March 24-27, 2002, San Diego.
John Drury, Philip Resnik, Amy Weinberg, Silvia Gennari, and Sachiko Aoshima, Argument Structure Saturation in a Constraint Based Model, The 15th Annual CUNY Conference on Human Sentence Processing, New York, March 2002.
Clara Cabezas, Philip Resnik, and Jessica Stevens, ``Supervised Sense Tagging using Support Vector Machines'', Proceedings of the Second International Workshop on Evaluating Word Sense Disambiguation Systems (SENSEVAL-2), Toulouse, France, 5-6 July 2001.
Clara Cabezas, Bonnie Dorr, and Philip Resnik, ``Spanish Language Processing at University of Maryland: Building Infrastructure for Multilingual Applications''. In Proceedings of the Second International Workshop on Spanish Language Processing and Language Technologies (SLPLT-2), Jaen, Spain, September 2001.
Rebecca Green, Lisa Pearl, Bonnie J. Dorr, and Philip Resnik, ``Mapping Lexical Entries in a Verbs Database to WordNet Senses'', Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics (ACL'2001), Toulouse, France, July 9-11, 2001.
Philip Resnik, Douglas Oard, and Gina-Anne Levow, ``Improved Cross-Language Retrieval using Backoff Translation'', Human Language Technology Conference (HLT-2001), San Diego, March 18-21, 2001.
Gina-Anne Levow, Douglas Oard, and Philip Resnik, "Rapidly Retargetable Interactive Translingual Retrieval", Human Language Technology Conference (HLT-2001), San Diego, March 18-21, 2001.
John Drury, Philip Resnik, and Amy Weinberg, "Plausibility, Reciprocality, and Modularity", Conference on Architectures and Mechanisms of Language Processing (AMLaP'2000), Leiden, The Netherlands, September 20-23, 2000.
Philip Resnik and Mona Diab, "Measuring Verb Similarity", Twenty Second Annual Meeting of the Cognitive Science Society (COGSCI2000), Philadelphia, August 2000. (PDF version)
Philip Resnik and David Yarowsky, "Distinguishing Systems and Distinguishing Senses: New Evaluation Methods for Word Sense Disambiguation", Natural Language Engineering 5(2), pp. 113-133.
I. Dan Melamed and Philip Resnik, "Tagger Evaluation Given Hierarchical Tag Sets", Computers and the Humanities, 34(1-2), 2000.
Philip Resnik, "Semantic Similarity in a Taxonomy: An Information-Based Measure and its Application to Problems of Ambiguity in Natural Language", Journal of Artificial Intelligence Research (JAIR), 11, pp. 95-130, 1999.
Philip Resnik, "Disambiguating Noun Groupings with Respect to WordNet Senses", in S. Armstrong, K. Church, P. Isabelle, S. Manzi, E. Tzoukermann and D. Yarowsky (eds.), Natural Language Processing Using Very Large Corpora. Kluwer Academic Publishers, 1999, pp. 77-98. (Slightly revised version; the original paper appeared in the Proceedings of the 3rd Workshop on Very Large Corpora, MIT, 30 June 1995: on-line version of the workshop paper.)
Philip Resnik, "Mining the Web for Bilingual Text", 37th Annual Meeting of the Association for Computational Linguistics (ACL'99), College Park, Maryland, June 1999.
Douglas W. Oard and Philip Resnik, "Support for Interactive Document Selection in Cross-Language Information Retrieval", Information Processing and Management, 35(3), pp. 363-379, July, 1999.
Philip Resnik, Mari Broman Olsen, and Mona Diab, "The Bible as a Parallel Corpus: Annotating the `Book of 2000 Tongues'", Computers and the Humanities, 33(1-2), pp. 129-153, 1999.
Tapas Kanungo and Philip Resnik, "The Bible, Truth, and Multilingual OCR Evaluation", In Proc. of SPIE Conference on Document Recognition and Retrieval (VI), San Jose, CA, 27-28 January, 1999.
Philip Resnik, "Parallel Strands: A Preliminary Investigation into Mining the Web for Bilingual Text", in D. Farwell, L. Gerber, and E. Hovy (eds.), Machine Translation and the Information Soup: Third Conference of the Association for Machine Translation in the Americas (AMTA-98), Langhorne, PA, Lecture Notes in Artificial Intelligence 1529, Springer, October, 1998.
Philip Resnik, Mari Broman Olsen, and Mona Diab, "Creating a Parallel Corpus from the Book of 2000 Tongues", Text Encoding Initiative 10th Anniversary User Conference (TEI-10), Providence, November 1997
Gary Adams and Philip Resnik, "A Language Identification Application Built on the Java Client/Server Platform", ACL 97/EACL 97 workshop, "From Research to Commercial Applications: Making NLP Technology Work in Practice", Madrid, July 12, 1997.
Mari Broman Olsen and Philip Resnik, "Implicit Object Constructions and the (In)Transitivity Continuum", 33rd Regional Meeting of the Chicago Linguistics Society, April, 1997, pp. 327-336.
Note: this paper was prepared using MS Word on the Macintosh, and sometimes comes out looking strange when previewed using ghostview; however, it appears to print out normally on many postscript printers. An alternative would be to look at the short abstract, which was prepared using LaTeX and dvips, or the whole paper in PDF format (2.8megabytes).
Philip Resnik, "Selectional preference and sense disambiguation", presented at the ACL SIGLEX Workshop on Tagging Text with Lexical Semantics: Why, What, and How?, held April 4-5, 1997 in Washington, D.C., USA in conjunction with ANLP-97.
Philip Resnik and David Yarowsky, A perspective on word sense disambiguation methods and their evaluation", position paper presented at the ACL SIGLEX Workshop on Tagging Text with Lexical Semantics: Why, What, and How?, held April 4-5, 1997 in Washington, D.C., USA in conjunction with ANLP-97.
Philip Resnik and I. Dan Melamed, "Semi-Automatic Acquisition of Domain-Specific Translation Lexicons", Proceedings of the 5th ANLP Conference, 1997.
Philip Resnik, "Evaluating Multilingual Gisting of Web Pages", presentation at the AAAI Symposium on Natural Language Processing for the World Wide Web, Stanford, CA, March 1997.
Judith Klavans and Philip Resnik, editors, The Balancing Act: Combining Symbolic and Statistical Approaches to Language, Cambridge, MA: The MIT Press, 1996.
Philip Resnik, `Selectional Constraints: An Information-Theoretic Model and its Computational Realization'', Cognition, 61:127-159, November 1996.
Philip Resnik, "Using Information Content to Evaluate Semantic Similarity in a Taxonomy", Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI), 1995.
Eric Brill and Philip Resnik, "A Rule-Based Approach To Prepositional Phrase Attachment Disambiguation", Proceedings of COLING-1994.
Philip Resnik, Selection and Information: A Class-Based Approach to Lexical Relationships, Doctoral Dissertation, Department of Computer and Information Science, University of Pennsylvania, 1993. [pdf,postscript]
Philip Resnik, Left-Corner Parsing and Psychological Plausibility, Proceedings of the Fourteenth International Conference on Computational Linguistics (COLING '92), Nantes, France, 1992.

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