Julia Hockenmaier's research group

Publications

Prashant Jayannavar, Anjali Narayan-Chen and Julia Hockenmaier Learning to execute instructions in a Minecraft dialogue. Proceedings of the 2020 Annual Conference of the Association for Computational Linguistics [.pdf]
Rajarshi Haldar, Lingfei Wu, Jinjun Xiong and Julia Hockenmaier A Multi-Perspective Architecture for Semantic Code Search. Proceedings of the 2020 Annual Conference of the Association for Computational Linguistics (ACL) [.pdf]
Jiacheng Liu, Julia Hockenmaier Phrase Grounding by Soft-Label Chain Conditional Random Field Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP--IJCNLP). [.pdf]
Anjali Narayan-Chen, Prashant Jayannavar, Julia Hockenmaier Collaborative Dialogue in Minecraft. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL) [.pdf]
Alice Lai, Yonatan Bisk, Julia Hockenmaier Natural Language Inference from Multiple Premises. Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers) [.pdf]
Alice Lai, Julia Hockenmaier Learning to Predict Denotational Probabilities For Modeling Entailment. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, [.pdf]
Yonatan Bisk, Siva Reddy, John Blitzer, Julia Hockenmaier, Mark Steeedman Evaluating Induced CCG Parsers on Grounded Semantic Parsing Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, [.pdf]
Bryan Plummer, Liwei Wang, Chris Cervantes, Juan Caicedo, Julia Hockenmaier, Svetlana Lazebnik (2017). Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models, International Journal of Computer Vision, May 2017, Volume 123, Issue 1, pp. 74--93. [.pdf]
Micah Hodosh, Peter Young, and Julia Hockenmaier Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics (Extended Abstract) Presented at the 24th International Joint Conference on Artificial Intelligence [.pdf] [Full JAIR paper]
Yonatan Bisk, Christos Christodoulopoulos and Julia Hockenmaier Labeled Grammar Induction with Minimal Supervision Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics 2015 (Short Papers) [.pdf]
Yonatan Bisk and Julia Hockenmaier Probing the Linguistic Strengths and Limitations of Unsupervised Grammar Induction To Appear in the Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics 2015 [.pdf]
Bryan Plummer, Liwei Wang, Chris Cervantes, Juan Caicedo, Julia Hockenmaier, and Svetlana Lazebnik Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models ArXiv 2015 [.pdf] [data]
Alice Lai and Julia Hockenmaier Illinois-LH: A Denotational and Distributional Approach to Semantics, to appear at Semeval 2014 (Task 1) [pdf]
Yunchao Gong, Liwei Wang, Micah Hodosh, Julia Hockenmaier and Svetlana Lazebnik Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections ECCV 2014 [pdf]
Peter Young, Alice Lai, Micah Hodosh and Julia Hockenmaier From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions, Transactions of the Association for Computational Linguistics, 2(Feb):67-78, 2014. [pdf] [Website] [slides]
Peter Young Using the visual denotations of image captions for semantic inference. PhD Thesis, Computer Science, University of Illinois 2013. [pdf]
Micah Hodosh, Peter Young and Julia Hockenmaier Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics, Journal of Artificial Intelligence Research (JAIR) 2013, Volume 47, pages 853-899 [JAIR] [Website]
Sean Massung, ChengXiang Zhai and Julia Hockenmaier Structural Parse Tree Features for Text Representation, Seventh IEEE International Conference on Semantic Computing (ICSC 2013)
Micah Hodosh and Julia Hockenmaier Sentence-based image description with scalable, explicit models, V&L Net Workshop on Vision and Language at CVPR 2013 [.pdf]
Yonatan Bisk and Julia Hockenmaier An HDP Model for Inducing Combinatory Categorial Grammars Transactions of the Association for Computational Linguistics Vol 1. 2013 [.pdf] [Slides]
Hyungsul Kim, Yizhou Sun, Julia Hockenmaier, and Jiawei Han ETM: Entity Topic Models for Mining Documents Associated with Entities IEEE International Conference on Data Mining (ICDM) 2012 [.pdf]
Matt Garley and Julia Hockenmaier Beefmoves: Dissemination, Diversity, and Dynamics of English Borrowings in a German Hip Hop Forum In Proceedings of ACL 2012, Korea [.pdf]
Yonatan Bisk and Julia Hockenmaier Simple Robust Grammar Induction with Combinatory Categorial Grammar In Proceedings of AAAI 2012, Toronto [.pdf]
Yonatan Bisk and Julia Hockenmaier Induction of Linguistic Structure with Combinatory Categorial Grammars NAACL-HLT Workshop on Inducing Linguistic Structure 2012, Montreal [.pdf]
Hannaneh Hajishirzi, Julia Hockenmaier, Erik T. Mueller, Eyal Amir Reasoning about RoboCup Soccer NarrativesIn Proceedings of UAI 2011, Spain [.pdf]
Ali Farhadi, Mohsen Hejrati, Mohammad Amin Sadeghi, Peter Young, Cyrus Rashtchian, Julia Hockenmaier, David Forsyth Every picture tells a story: generating sentences from images. In Proceedings of ECCV 2010, Greece. [.pdf]
Julia Hockenmaier and Yonatan Bisk Normal-form parsing for Combinatory Categorial Grammars with generalized composition and type-raising (Full paper) Proceedings of COLING 2010, Beijing China. [.pdf]
Parikshit Sondhi, Manish Gupta, ChengXiang Zhai, and Julia Hockenmaier Shallow Information Extraction from Medical Forum Data (Poster) Proceedings of COLING 2010, Beijing China. [.pdf]
Yuancheng Tu, Nikhil Johri, Dan Roth and Julia Hockenmaier Citation Author Topic Model in Expert Search. (Poster) Proceedings of COLING 2010, Beijing China. [.pdf]
Micah Hodosh, Peter Young, Cyrus Rashtchian and Julia Hockenmaier Cross-Caption Coreference Resolution for Automatic Image Understanding Proceedings of the 2010 Conference on Natural Language Learning (CoNLL) [.pdf]
Cyrus Rashtchian, Peter Young, Micah Hodosh and Julia Hockenmaier Collecting Image Annotations Using Amazon's Mechanical Turk Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk. [.pdf]
Julia Hockenmaier and Peter Young Non-local scrambling: the equivalence of TAG and CCG revisited. In Proceedings of The Ninth International Workshop on Tree Adjoining Grammars and Related Formalisms (TAG+9) , Tübingen, Germany. June 2008 [.pdf]

Older papers

Natural Language Processing papers

Julia Hockenmaier and Mark Steedman CCGbank: a corpus of CCG derivations and dependency structures extracted from the Penn Treebank. In Computational Linguistics 33(3), pp 355-396, MIT press.
David Reitter, Frank Keller and Julia Hockenmaier Corpus-based evidence against sequence priming. Poster, 20th annual CUNY conference on human sentence processing, La Jolla, March 2007.
Julia Hockenmaier Creating a CCGbank and a wide-coverage CCG lexicon for German
Proceedings of COLING/ACL 2006, Sydney, 2006. [.pdf]
David Reitter, Julia Hockenmaier, and Frank Keller. Priming effects in Combinatory Categorial Grammar. Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP-2006), Sydney, Australia, 2006. [.pdf]
Julia Hockenmaier and Mark Steedman CCGbank Manual Technical Report MS-CIS-05-09, Department of Computer and Information Science, University of Pennsylvania, 2005 [.pdf]
Julia Hockenmaier Parsing with Generative Models of Predicate-Argument Structure
Proceedings of 41th Annual Meeting of the Association for Computational Linguistics, Sapporo, 2003..ps [.pdf]
Daniel Gildea and Julia Hockenmaier Identifying Semantic Roles Using Combinatory Categorial Grammar Proceedings of 2003 Conference on Empirical Methods in Natural Language Processing (EMNLP), Sapporo, Japan, 2003.[.pdf]
Mark Steedman, Rebecca Hwa, Stephen Clark, Miles Osborne, Anoop Sarkar, Julia Hockenmaier, Paul Ruhlen, Stephen Baker and Jeremiah Crim. Example Selection for Bootstrapping Statistical Parsers. Proceedings of the Annual Meeting of the North American Chapter of the ACL, Edmonton, Canada, 2003 [.pdf]
Mark Steedman, Miles Osborne, Anoop Sarkar, Stephen Clark, Rebecca Hwa, Julia Hockenmaier, Paul Ruhlen, Stephen Baker, and Jeremiah Crim. Bootstrapping Statistical Parsers from Small Datasets. Proceedings of the Annual Meeting of the European Chapter of the ACL, Budapest, Hungary, 2003. [.pdf]
Julia Hockenmaier and Mark Steedman. Generative Models for Statistical Parsing with Combinatory Categorial Grammar, in Proceedings of 40th Annual Meeting of the Association for Computational Linguistics, Philadelphia, 2002..ps [.pdf]
Julia Hockenmaier and Mark Steedman. Acquiring Compact Lexicalized Grammars from a Cleaner Treebank, in Proceedings of Third International Conference on Language Resources and Evaluation, Las Palmas, 2002..ps
Stephen Clark, Julia Hockenmaier and Mark Steedman. Building Deep Dependency Structures with a Wide-Coverage CCG Parser, in Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, Philadephia, 2002..ps [.pdf]
Stephen Clark and Julia Hockenmaier. Evaluating a Wide-Coverage CCG Parser, in Proceedings of the LREC 2002 Beyond Parseval Workshop, Las Palmas, Spain, [.pdf]
Julia Hockenmaier, Gann Bierner and Jason Baldridge. Extending the Coverage of a CCG System in Research in Language and Computation.ps.
Julia Hockenmaier (2001). Statistical Parsing for CCG with Simple Generative Models in Proceedings of the Student Research Workshop of the 39th Annual Meeting of the Association for Computational Linguistics/10th Meeting of the European Chapter of the Association for Computational Linguistics, Toulouse, July 2001.[.pdf].
Julia Hockenmaier, Gann Bierner and Jason Baldridge (2000). Providing Robustness for a CCG system in Workshop on Linguistic Theory and Grammar Implementation, ESSLLI 2000, Birmingham.
Julia Hockenmaier and Chris Brew (1998). Error driven segmentation of Chinese. Communications of COLIPS 8 (1), pp 69-84, June 1998. Also in J. Guo, K. T. Lua, and J. Xu, editors, 12th Pacific Conference on Language and Information, pages 218-229, Singapore. Chinese and Oriental Languages Processing Society. [.pdf]

Protein folding papers

Ken Dill, Adam Lucas, Julia Hockenmaier, Liang Huang, David Chiang and Aravind Joshi Computational Linguistics: a new tool for exploring biopolymer structures and statistical mechanics. In Polymer 48(15), pp 4289-4300, Elsevier.
Julia Hockenmaier, Aravind Joshi and Ken Dill Routes are trees: the parsing perspective on protein folding Proteins: Structure, Function, and Bioinformatics, 66(1), January 1, 2007, pp 1-15., Wiley. Electronically available here.
Julia Hockenmaier, Aravind Joshi and Ken Dill Protein folding and chart parsing
Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP-2006), Sydney, Australia, 2006.[.pdf]
Julia Hockenmaier, Aravind Joshi and Ken Dill Routes are trees: The parsing view on protein folding Poster presented at the 13th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB 2005), Detroit, MI. [.pdf]