% % GENERATED FROM https://www.coli.uni-saarland.de % by : anonymous % IP : coli2006.lst.uni-saarland.de % at : Mon, 05 Feb 2024 15:42:12 +0100 GMT % % Selection : Author: Mirella_Lapata % @InProceedings{Keller_et_al:2002, AUTHOR = {Keller, Frank and Lapata, Mirella and Ourioupina, Olga}, TITLE = {Using the Web to Overcome Data Sparseness}, YEAR = {2002}, BOOKTITLE = {Proceedings of the Conference on Empirical Methods in Natural Language Processing}, PAGES = {230-237}, EDITOR = {Hajic, Jan and Matsumoto, Yuji}, ADDRESS = {Philadelphia, USA}, URL = {http://www.iccs.informatics.ed.ac.uk/~keller/papers/emnlp02.pdf}, ABSTRACT = {This paper shows that the web can be employed to obtain frequencies for bigrams that are unseen in a given corpus. We describe a method for retrieving counts for adjective-noun, noun-noun, and verb-object bigrams from the web by querying a search engine. We evaluate this method by demonstrating that web frequencies and correlate with frequencies obtained from a carefully edited, balanced corpus. We also perform a task-based evaluation, showing that web frequencies can reliably predict human plausibility judgments.}, ANNOTE = {COLIURL : Keller:2002:UWO.pdf} } @InProceedings{Pado_Lapata:2003, AUTHOR = {Pado, Sebastian and Lapata, Mirella}, TITLE = {Constructing Semantic Space Models from Parsed Corpora}, YEAR = {2003}, BOOKTITLE = {Proceedings of ACL-03}, ADDRESS = {Sapporo, Japan} } @InProceedings{Pado_Lapata:2003_1, AUTHOR = {Pado, Sebastian and Lapata, Mirella}, TITLE = {Constructing Vector Space Models from Parsed Corpora}, YEAR = {2003}, BOOKTITLE = {Proceedings of ACL-03}, ADDRESS = {Sapporo, Japan}, URL = {https://www.coli.uni-saarland.de/~pado/pub/acl03/dv_acl03.pdf} } @Article{PaLa2007, AUTHOR = {Pado, Sebastian and Lapata, Mirella}, TITLE = {Dependency-based Construction of Semantic Space Models}, YEAR = {2007}, JOURNAL = {Computational Linquistics}, VOLUME = {33}, NUMBER = {2}, PAGES = {161-199}, NOTE = {MP} } @InProceedings{Pado_Lapata:2003_2, AUTHOR = {Pado, Sebastian and Lapata, Mirella}, TITLE = {Constructing Semantic Space Models from Parsed Corpora}, YEAR = {2003}, BOOKTITLE = {Proceedings of ACL-03}, ADDRESS = {Sapporo, Japan} } @Article{Keller_Lapata:2003, AUTHOR = {Keller, Frank and Lapata, Mirella}, TITLE = {Using the Web to Obtain Frequencies for Unseen Bigrams}, YEAR = {2003}, JOURNAL = {Computational Linguistics}, VOLUME = {29}, NUMBER = {3}, PAGES = {459-484} } @Article{Lapata_et_al:2001, AUTHOR = {Lapata, Mirella and Keller, Frank and Schulte im Walde, Sabine}, TITLE = {Verb frame frequency as a predictor of verb bias}, YEAR = {2001}, JOURNAL = {Journal of Psycholinguistic Reseach}, VOLUME = {30(4)}, PAGES = {419-435} } @InProceedings{Lapata_et_al:2001_1, AUTHOR = {Lapata, Mirella and Keller, Frank and McDonald, Scott}, TITLE = {Evaluating Smoothing Algorithms against Plausibility Judgments}, YEAR = {2001}, BOOKTITLE = {The 39th Annual Meeting of the Association for Computational Linguistics and the 10th Conference of the European Chapter of the Association for Computational Linguistics}, PAGES = {346-353}, ADDRESS = {Toulouse} } @Article{Lapata_et_al:2003, AUTHOR = {Lapata, Mirella and Keller, Frank and Scheepers, Christoph}, TITLE = {Intra-sentential context effects on the interpretation of logical metonymy}, YEAR = {2003}, JOURNAL = {Cognition Science}, VOLUME = {27}, PAGES = {649-668} } @Article{Lapata_et_al:2003_1, AUTHOR = {Lapata, Mirella and Keller, Frank and Scheepers, Christoph}, TITLE = {Intra-sentential Context Effects on the Interpretation of Logical Metonymy}, YEAR = {2003}, JOURNAL = {Cognitive Science}, VOLUME = {27:4}, PAGES = {649-668} } @InProceedings{padolapata2005, AUTHOR = {Pado, Sebastian and Lapata, Mirella}, TITLE = {Cross-lingual Bootstrapping for Semantic Lexicons: The case of FrameNet}, YEAR = {2005}, BOOKTITLE = {Proceedings of AAAI-05}, ADDRESS = {Pittsburgh, PA} } @InProceedings{padoslapata2005, AUTHOR = {Pado, Sebastian and Lapata, Mirella}, TITLE = {Cross-lingual projection of role-semantic information}, YEAR = {2005}, BOOKTITLE = {Proceedings of HLT/EMNLP 2005}, ADDRESS = {Vancouver, BC} } @InProceedings{PL2006, AUTHOR = {Pado, Sebastian and Lapata, Mirella}, TITLE = {Optimal constituent alignment with edge covers for semantic projection}, YEAR = {2006}, MONTH = {17-21 July}, BOOKTITLE = {COLING-ACL 2006: 21st International Conference on Computational Linguistics and 44th annual meeting of the Association for Computational Linguistics,ydney, Australia ydney, Australia}, VOLUME = {2}, PAGES = {1161-1168}, ADDRESS = {Stroudsburg} } @InProceedings{ShLa2007, AUTHOR = {Shen, Dan and Lapata, Mirella}, TITLE = {Using Semantic Roles to Improve Question Answering}, YEAR = {2007}, BOOKTITLE = {Proceedings EMNLP-CoNLL}, NOTE = {DK} } @InProceedings{FüLa2009, AUTHOR = {Fürstenau, Hagen and Lapata, Mirella}, TITLE = {Graph alignment for semi-supervised semantic role labeling}, YEAR = {2009}, BOOKTITLE = {EMNLP 2009 : proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing ; a meeting of SIGDAT, 6–7 August 2009 Singapore}, PAGES = {11-20}, ADDRESS = {Stroudsburg, Pa.}, ORGANIZATION = {ACL}, NOTE = {MP} } @InProceedings{FüLa2009a, AUTHOR = {Fürstenau, Hagen and Lapata, Mirella}, TITLE = {Semi-supervised semantic role labeling}, YEAR = {2009}, BOOKTITLE = {EACL 2009 : proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics, 30 March – 3 April 2009, Megaron Athens International Conference Centre, Athens, Greece}, PAGES = {220-228}, ADDRESS = {Stroudsburg, Pa.}, ORGANIZATION = {ACL}, NOTE = {MP} } @InProceedings{DiLa2010, AUTHOR = {Dinu, Georgiana and Lapata, Mirella}, TITLE = {Topic models for meaning similarity in context (to appear)}, YEAR = {2010}, BOOKTITLE = {COLING 2010}, NOTE = {MP} } @InProceedings{KonKell2014, AUTHOR = {Konstas, Ioannis and Keller, Frank and Demberg, Vera and Lapata, Mirella}, TITLE = {Incremental Semantic Role Labeling with Tree Adjoining Grammar}, YEAR = {2014}, BOOKTITLE = {Proceedings of the Conference on Empirical Methods in Natural Language Processing}, NOTE = {sonst. Mitarbeiter} }