{"id":359,"date":"2018-08-19T18:16:51","date_gmt":"2018-08-19T17:16:51","guid":{"rendered":"https:\/\/user.phil-fak.uni-duesseldorf.de\/~samih\/?page_id=359"},"modified":"2019-08-11T23:28:03","modified_gmt":"2019-08-11T22:28:03","slug":"computational-lexical-semantics","status":"publish","type":"page","link":"https:\/\/user.phil-fak.uni-duesseldorf.de\/~samih\/teaching\/computational-lexical-semantics\/","title":{"rendered":"Computational Lexical Semantics"},"content":{"rendered":"<div class=\"entry-content\">\n<p>Dozierende:\u00a0 Dr. Younes Samih and Dr. Timm Lichte<br \/>\nRaum: 24.53.01.81<br \/>\nTermin: Donnerstags, 08:30\u201310:00<\/p>\n<h3>Kursbeschreibung<\/h3>\n<p>Die lexikalische Semantik besch\u00e4ftigt sich klassischerweise mit der Bedeutung von Wortformen und den zugrundeliegenden Lexemen, aus der sich dann die Bedeutung eines Satzes qua Komposition ergibt. Verallgemeinernd k\u00f6nnte man mit Pustejovsky (2016) sagen, dass das Lexikon die semantischen Informationen enth\u00e4lt, die f\u00fcr die Bedeutungskomposition notwendig sind (\u201ethe information required for composition\u201c). Diese sinnvoll klingende Eingrenzung wirft aber grunds\u00e4tzliche Fragen auf, die schwer abschlie\u00dfend zu beantworten sind: (i) Was ist \u201edie Bedeutung\u201c, insbesondere wenn Wortformen mehr als eine m\u00f6gliche Bedeutung haben, z.B.\u00a0<i>die Unterlagen<\/i>\u00a0oder\u00a0<i>abschl\u00e4gt<\/i>? (ii) Was enth\u00e4lt das Lexikon? Wortformen k\u00f6nnen selber dekomponierbar sein, z.B.\u00a0<i>Bundestagsmandat<\/i>\u00a0oder\u00a0<i>bel\u00e4chelst<\/i>, gr\u00f6\u00dfere phraseologische Einheiten dagegen nur schwer, z.B.\u00a0<i>ins Gras bei\u00dfen<\/i>. Schlie\u00dflich: (iii) Wie repr\u00e4sentieren wir lexikalische Bedeutung so, dass wir damit etwas anfangen k\u00f6nnen, also zum Beispiel die Satzbedeutung aus der Wortbedeutung exakt berechnen k\u00f6nnen?<\/p>\n<p>In diesem Seminar werden die computerlinguistischen \u201eAntworten\u201c auf diese Fragen im Mittelpunkt stehen. Das hei\u00dft, wir werden uns entsprechende lexikalische Ressourcen (WordNet, FrameNet, VerbNet) und annotierte Korpora (SemCor, PropBank, OntoNotes) ansehen. Wir werden uns dann mit computerlinguistischen Anwendungen besch\u00e4ftigen, insbesondere Word Sense Disambiguation (WSD) und Semantic Role Labeling (SRL), die letztlich darum kreisen, lexikalische Mehrdeutigkeit automatisch aufzul\u00f6sen.<\/p>\n<p>Das Seminar ist als Lekt\u00fcreseminar angelegt und soll von Referaten begleitet werden. Es richtet sich an fortgeschrittene Bachelorstudenten, die bereits die Einf\u00fchrung in die Semantik geh\u00f6rt haben.<\/p>\n<h3>Vorgaben f\u00fcr Referate<\/h3>\n<ul>\n<li>Das Referat wird von maximal 2 Studierenden gehalten.<\/li>\n<li>F\u00fcr die Folien muss eine der folgenden Vorlagen verwendet werden:\u00a0<a href=\"http:\/\/www.mitarbeiter.hhu.de\/corporate-design-portal\/praesentationsvorlagen-powerpoint-keynote.html\">PowerPoint<\/a>\u00a0(HHU-Intranet),\u00a0<a href=\"https:\/\/www.overleaf.com\/docs?snip_uri=https:\/\/github.com\/timmli\/latex-templates\/releases\/download\/current\/beamer-template.zip\">LaTeX<\/a>\u00a0(Overleaf)<\/li>\n<li>Die Folien werden in der Sprache des behandelten Textes\u00a0geschrieben.<\/li>\n<\/ul>\n<h3>Literaturangaben<\/h3>\n<h4>Grundbegriffe: Lexikon und Lexikalische Semantik<\/h4>\n<p>Cruse, D. Alan. 2001. The Lexicon. In Mark Aronoff &amp; Janie Ress-Miller (eds.), The Handbook of Linguistics, 238\u2013264. Oxford, UK: Blackwell Publishers. doi:10.1002\/9780470756409.ch10.<\/p>\n<p>Jurafsky, Daniel &amp; James H. Martin. 2009. Speech and Language Processing. An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, \u00a719\u201320. 2. edn. Upper Saddle River, NJ: Prentice Hall.<\/p>\n<p>Pustejovsky, James. 2016. Lexical Semantics. In Maria Aloni &amp; Paul Dekker (eds.), The Cambridge Handbook of Formal Semantics (Cambridge Handbooks in Language and Linguistics), 33\u201364. Cambridge, UK: Cambridge University Press.<\/p>\n<h4>Verbklassifizierung<\/h4>\n<p>Dowty, David. 1991. Thematic Proto-Roles and Argument Selection. Language 67(3). 547\u2013619.<\/p>\n<p>Levin, Beth. 1993. English Verb Classes and Alternations: A Preliminary Investigation. Chicago, IL: University of Chicago Press.<\/p>\n<h4>Generative Lexicon<\/h4>\n<p>Pustejovsky, James. 1991. The Generative Lexicon. Computational linguistics 17(4). 409\u2013441.<\/p>\n<p>Pustejovsky, James. 1995. The Generative Lexicon. Cambridge, MA: MIT Press.<\/p>\n<h4>WordNet &amp; SemCor<\/h4>\n<p>Fellbaum, Christiane (ed.). 1998. WordNet: An Electronic Lexical Database (Language, Speech, and Communication). Cambridge, MA: MIT Press.<\/p>\n<p>Miller, George A., Martin Chodorow, Shari Landes, Claudia Leacock &amp; Robert G. Thomas. 1994. Using a semantic concordance for sense identification. In Proceedings of the workshop on Human Language Technology (HLT \u201994), 240\u2013243. Stroudsburg, PA: Association for Computational Linguistics. doi:10.3115\/1075812.1075866.<\/p>\n<p>Miller, George A., Claudia Leacock, Randee Tengi &amp; Ross T. Bunker. 1993. A semantic concordance. In Proceedings of the workshop on Human Language Technology (HLT \u201993), 303\u2013308. Stroudsburg, PA: Association for Computational Linguistics. doi:10.3115\/1075671.1075742.<\/p>\n<p>Miller, George A. 1995. WordNet: A lexical database for English. Communications of the ACM 38(11). 39\u201341.<\/p>\n<h4>FrameNet<\/h4>\n<p>Fillmore, Charles J., Christopher R. Johnson &amp; Miriam R. L. Petruck. 2003. Background to Framenet. International Journal of Lexicography 16(3). 235-250. doi:10.1093\/ijl\/16.3.235.<\/p>\n<p>Fillmore, Charles J., Charles Wooters &amp; Collin F. Baker. 2001. Building a Large Lexical Databank Which Provides Deep Semantics. In Proceedings of the 15th Pacific Asia Conference on Language, Information and Computation (PACLIC), 3\u201326. Hong Kong, China: City University of Hong Kong. http:\/\/www.aclweb.org\/anthology\/Y01-1001.<\/p>\n<h4>VerbNet &amp; PropBank &amp; OntoNotes<\/h4>\n<p>Kipper, Karin, Anna Korhonen, Neville Ryant &amp; Martha Palmer. 2008. A large-scale classification of English verbs. Language Resources and Evaluation 42(1). 21\u201340. doi:10.1007\/s10579-007-9048-2.<\/p>\n<p>Palmer, Martha, Daniel Gildea &amp; Paul Kingsbury. 2005. The Proposition Bank: An Annotated Corpus of Semantic Roles. Computational Linguistics 31(1). 71\u2013106. doi:10.1162\/0891201053630264.<\/p>\n<h4>Word Sense Disambiguation (WSD)<\/h4>\n<p>Banerjee, Satanjeev &amp; Ted Pedersen. 2002. An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet. In Alexander Gelbkuh (ed.), Computational Linguistics and Intelligent Text Processing (CICLing 2002) (Lecture Notes in Computer Science 2276), 136\u2013145. Berlin: Springer. doi:10.1007\/3-540-45715-1_11.<\/p>\n<p>Edmonds, Philip &amp; Graeme Hirst. 2002. Near-Synonymy and Lexical Choice. Computational Linguistics 28(2). 105\u2013144. doi:10.1162\/089120102760173625.<\/p>\n<p>Lesk, Michael. 1986. Automatic sense disambiguation using machine readable dictionaries. In Proceedings of the 5th annual international conference on Systems documentation (SIGDOC \u201986), 24\u201326. New York: ACM Press. doi:10.1145\/318723.318728.<\/p>\n<p>McCarthy, Diana. 2009. Word Sense Disambiguation: An Overview. Language and Linguistics Compass 3(2). 537\u2013558.<\/p>\n<p>Popov, Alexander. 2018. Neural Network Models for Word Sense Disambiguation: An Overview. Cybernetics and Information Technologies 18(1). doi:10.2478\/cait-2018-0012.<\/p>\n<p>Raganato, Alessandro, Jose Camacho-Collados &amp; Roberto Navigli. 2017. Word sense disambiguation: A unified evaluation framework and empirical comparison. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, 99\u2013110.<\/p>\n<p>Tripodi, Rocco &amp; Marcello Pelillo. 2017. A Game-Theoretic Approach to Word Sense Disambiguation. Computational Linguistics 42(1). doi:10.1162\/COLI_a_00274.<\/p>\n<h4>Semantic Role Labeling (SRL)<\/h4>\n<p>Jurafsky, Daniel &amp; James H. Martin. 2017. Speech and Language Processing. An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, \u00a722. Third edition draft of August 28, 2017. https:\/\/web.stanford.edu\/\u00a0jurafsky\/slp3\/22.pdf.<\/p>\n<p>Palmer, Martha, Daniel Gildea &amp; Nianwen Xue. 2010. Semantic Role Labeling (Synthesis Lectures on Human Language Technologies 1), vol. 3. Morgan &amp; Claypool Publishers. doi:10.2200\/s00239ed1v01y200912hlt006.<\/p>\n<p>Pradhan, Sameer S., Wayne Ward &amp; James H. Martin. 2008. Towards Robust Semantic Role Labeling. Computational Linguistics 34(2). 289\u2013310. doi:10.1162\/coli.2008.34.2.289.<\/p>\n<p>Zhou, Jie &amp; Wei Xu. 2015. End-to-end learning of semantic role labeling using recurrent neural networks. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 1127\u20131137. Beijing, China: Association for Computational Linguistics. http:\/\/www.aclweb.org\/anthology\/P15-1109.<\/p>\n<h4>Kombination mit Distributional Semantics (DS)<\/h4>\n<p>Faruqui, Manaal, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, Eduard Hovy &amp; Noah A. Smith. 2015. Retrofitting Word Vectors to Semantic Lexicons. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 1606\u20131615. doi:10.3115\/v1\/n15-1184.<\/p>\n<p>Rothe, Sascha &amp; Hinrich Sch\u00fctze. 2017. AutoExtend: Combining Word Embeddings with Semantic Resources. Computational Linguistics 43(3). 593\u2013617. doi:10.1162\/coli_a_00294.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Dozierende:\u00a0 Dr. Younes Samih and Dr. Timm Lichte Raum: 24.53.01.81 Termin: Donnerstags, 08:30\u201310:00 Kursbeschreibung Die lexikalische Semantik besch\u00e4ftigt sich klassischerweise mit der Bedeutung von Wortformen und den zugrundeliegenden Lexemen, aus der sich dann die Bedeutung eines Satzes qua Komposition ergibt. &hellip; <a class=\"more-link\" href=\"https:\/\/user.phil-fak.uni-duesseldorf.de\/~samih\/teaching\/computational-lexical-semantics\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":81,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/user.phil-fak.uni-duesseldorf.de\/~samih\/wp-json\/wp\/v2\/pages\/359"}],"collection":[{"href":"https:\/\/user.phil-fak.uni-duesseldorf.de\/~samih\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/user.phil-fak.uni-duesseldorf.de\/~samih\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/user.phil-fak.uni-duesseldorf.de\/~samih\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/user.phil-fak.uni-duesseldorf.de\/~samih\/wp-json\/wp\/v2\/comments?post=359"}],"version-history":[{"count":4,"href":"https:\/\/user.phil-fak.uni-duesseldorf.de\/~samih\/wp-json\/wp\/v2\/pages\/359\/revisions"}],"predecessor-version":[{"id":727,"href":"https:\/\/user.phil-fak.uni-duesseldorf.de\/~samih\/wp-json\/wp\/v2\/pages\/359\/revisions\/727"}],"up":[{"embeddable":true,"href":"https:\/\/user.phil-fak.uni-duesseldorf.de\/~samih\/wp-json\/wp\/v2\/pages\/81"}],"wp:attachment":[{"href":"https:\/\/user.phil-fak.uni-duesseldorf.de\/~samih\/wp-json\/wp\/v2\/media?parent=359"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}