Annie Louis's Publications
2019Jingyun Liu, Jackie C.K.Cheung, and Annie Louis, "What comes next? Extractive summarization by next-sentence prediction", 2019 (arXiv:1901.03859).
2018Ieva Staliunaite, Hannah Rohde, Bonnie Webber and Annie Louis, "Getting to Hearer-old: Charting Referring Expressions Across Time", Proceedings of EMNLP 2018.
Annie Louis and Charles Sutton, Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts", Proceedings of NAACL 2018 (Short papers). [data]
Annie Louis, Santanu Kumar Dash, Earl T. Barr and Charles Sutton, "Deep Learning to Detect Redundant Method Comments, 2018 (arXiv:1806.04616).
2017Cristina Guerrero-Romero, Annie Louis and Diego Perez-Liebana, Beyond Playing to Win: Diversifying Heuristics for GVGAI. Proceedings of the Conference on Computational Intelligence and Games (CIG), 2017.
Mostafazadeh, N., Roth, M., Louis, A., Chambers, N., and Allen, J., LSDSem 2017 shared task: The story cloze test. Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics, EACL 2017.
2016Annie Louis, "Book Review: Natural Language Processing for Social Media. By A. Farzindar & D. Inkpen", In Computational Linguistics, 2016.
2015Annie Louis and Shay B. Cohen, Conversation Trees: A Grammar Model for Topic Structure in Forums, Proceedings of EMNLP 2015.[corpus]
Annie Louis and Mirella Lapata, Which Step Do I Take First? Troubleshooting with Bayesian Models, Transactions of ACL, 2015. [corpus]
2014Annie Louis, A Bayesian Method to Incorporate Background Knowledge during Automatic Text Summarization, Proceedings of ACL:Short Papers, 2014.
Annie Louis and Bonnie Webber, Structured and Unstructured Cache Models for SMT Domain Adaptation, Proceedings of EACL 2014. [corpus]
Annie Louis and Ani Nenkova, Verbose, Laconic or Just Right: A Simple Computational Model of Content Appropriateness under Length Constraints, Proceedings of EACL 2014.
2013Annie Louis and Ani Nenkova, What Makes Writing Great? First Experiments on Article Quality Prediction in the Science Journalism Domain, Transactions of ACL, 2013.
Annie Louis and Ani Nenkova, A Text Quality Corpus for Science Journalism, Discourse and Dialogue, Special Issue on Annotating Pragmatic and Discourse Phenomena, 2013.
Annie Louis and Ani Nenkova, Automatically assessing machine summary content without a gold-standard, Computational Linguistics, 2013.
2012Annie Louis and Ani Nenkova, A coherence model based on syntactic patterns, Proceedings of EMNLP-CoNLL, 2012. [Best Paper Award]
Annie Louis and Todd Newman, Summarization of business-related tweets: A concept-based approach, Proceedings of COLING, 2012.
Annie Louis, Automatic metrics for genre-specific text quality, Proceedings of NAACL-HLT Student Research Workshop, 2012.
Annie Louis and Ani Nenkova, A corpus of general and specific sentences from news, Proceedings of LREC, 2012.
2011Annie Louis and Ani Nenkova, Automatic identification of general and specific sentences by leveraging discourse annotations, Proceedings of IJCNLP, 2011.
Annie Louis, Eric Crestan, Youssef Billawala, Rao Shen, Fernando Diaz and Jean-Francois Crespo, Use of Query Similarity for Improving Presentation of News Verticals, Proceedings of Workshop on Very Large Data Search (VLDS), 2011.
Annie Louis and Ani Nenkova, Text specificity and impact on quality of news summaries, Proceedings of ACL-HLT Workshop on Monolingual Text to Text Generation, 2011.
Annie Louis, Predicting Text Quality for Scientific Articles, AAAI/SIGART Doctoral Consortium, 2011.
2010Annie Louis, Aravind Joshi and Ani Nenkova, Discourse indicators for content selection in summarization, Proceedings of SIGDIAL 2010. [Best Student Paper Award]
Annie Louis, Aravind Joshi, Rashmi Prasad and Ani Nenkova, Using entity features to classify implicit discourse relations, Proceedings of SIGDIAL 2010.
Annie Louis and Ani Nenkova, Creating Local Coherence: An Empirical Assessment, Proceedings of NAACL-HLT 2010.
Emily Pitler, Annie Louis and Ani Nenkova, Automatic Evaluation of Linguistic Quality in Multi-Document Summarization, Proceedings of ACL 2010.
Ani Nenkova, Jieun Chae, Annie Louis, and Emily Pitler, Structural Features for Predicting the Linguistic Quality of Text: Applications to Machine Translation, Automatic Summarization and Human-Authored Text, In Emiel Krahmer and Mariet Theune, editors, Empirical Methods in Natural Language Generation: Data-oriented Methods and Empirical Evaluation, 2010.
Annie Louis and Derrick Higgins, Off-topic essay detection using short prompt texts, Proceedings of the NAACL HLT 2010 Fifth Workshop on Innovative Use of NLP for Building Educational Applications.
2009Annie Louis and Ani Nenkova, Performance Confidence Estimation for Automatic Summarization, Proceedings of EACL 2009.
Annie Louis and Ani Nenkova, Automatically Evaluating Content Selection in Summarization without Human Models, Proceedings of EMNLP 2009.
Emily Pitler, Annie Louis, Ani Nenkova, Automatic Sense Prediction for Implicit Discourse Relations in Text, Proceedings of ACL-IJCNLP 2009.
2008Ani Nenkova and Annie Louis, Can you summarize this? Identifying correlates of input difficulty for generic multi-document summarization, Proceedings of ACL-HLT 2008.
Thesis and other non-refereed publicationsAnnie Louis, Predicting text quality: Metrics for content, organization and reader interest, PhD Thesis, University of Pennsylvania, January 2013.
Annie Louis, Unsupervised Models of Text Structure, University of Pennsylvania Technical Report MS-CIS-11-16, In fulfillment of the Department of Computer and Information Science Written Preliminary Exam II, 2011.
Annie Louis and Ani Nenkova, Predicting Summary Quality using Limited Human Input, Proceedings of Text Analysis Conference 2009.
Annie Louis and Ani Nenkova, Summary Evaluation without Human Models, Poster presentation, Text Analysis Conference 2008.