HS Textual Entailment

	Beim Textual Entailment geht es darum, zu erkennen, ob die Bedeutung eines gegebenen Textabschnitts die Bedeutung eines anderen impliziert, beispielsweise, ob aus dem Satz "Im Mordfall Buback ermittelt die Bundesanwaltschaft gegen Verena Becker" der Satz "Verena Becker ist mordverdächtig" folgt. Die Aufgabe der automatischen Erkennung solcher semantischen Zusammenhänge stellt sich in vielen computerlinguistischen Anwendungen, u.a. dem Question Answering, der Informationssuche und -Extraktion, der maschinellen Übersetzung und Zusammenfassung. Im Seminar diskutieren wir nach einer Einführung in das Thema aktuelle Forschungsbeiträge.

Raumänderung: ab sofort findet das Seminar in II.24.1.54 statt!

Sprechstunde nach Vereinbarung.

Einen benoteten Schein erhält, wer

• ein etwa 30-minütiges Referat hält und eine Hausarbeit im Umfang von 12-15 Seiten abgibt oder
• ein Programmierprojekt durchführt und
• regelmäßig und aktiv am Seminar teilnimmt.

• Bar-Heim, R., Dagan, I., Greental, I., Szpektor, I. u. Friedman, M. (2007): Semantic Inference at the Lexical-Syntactic Level for Textual Entailment Recognition. Proceedings of WTEP 2007, Prag.
• Barzilay, R. & Lee, L. (2003): Learning to paraphrase: an unsupervised approach using multiple-sequence alignment. Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, Edmonton, Canada.
• Blackburn, P. & Bos, J. (2003): Computational Semantics. Theoria 18, pp. 27-45.
• Bos, J. & Markert, K. (2005a): Recognising Textual Entailment with Logical Inference. Proceedings of EMNLP 2005.
• Bos, J. & Markert, K. (2005b): Combining Shallow and Deep NLP Methods for Recognizing Textual Entailment. RTE-1.
• Bos, J. & Markert, K. (2006): When logical inference helps determining textual entailment (and when it doesn't). RTE-2.
• Brockett, C. and Dolan, W.B. (2005): Support Vector Machines for Paraphrase Identification and Corpus Construction. Proceedings of IWP2005: The Third International Workshop on Paraphrasing, Cheju, Korea.
• Burchardt, A. & Frank, A. (2006): Approaching Textual Entailment with LFG and FrameNet Frames. RTE-2.
• Burchardt, A., Reiter, N., Thater, S. & Frank, A. (2007): A Semantic Approach to Textual Entailment: System Evaluation and Task Analysis. RTE-3.
• Curran, J.R., Clark, S. & Bos, J. (2007): Linguistically Motivated Large-Scale NLP with C&C and Boxer. Proceedings of ACL 2007.
• Dagan, I. & Glickman, O. (2004): Probabilistic textual entailment: Generic applied modeling of language variability. Proceedings of Learning Methods for Text Understanding and Mining, Grenoble.
• Dolan W. B., Quirk, C. & Brockett, C. (2004): Unsupervised Construction of Large Paraphrase Corpora: Exploiting Massively Parallel News Sources. Proceedings of COLING 2004, Geneva, Switzerland.
• Dolan, W. B. & Brockett, C. (2005): Automatically Constructing a Corpus of Sentential Paraphrases. Proceedings of IWP2005: The Third International Workshop on Paraphrasing, Cheju, Korea.
• Fellbaum, Ch., Clark, P. & Hobbs, J. (2008): Towards improved text understanding with WordNet. Text Resources and Lexical Knowledge: Selected Papers from the 9th Conference on Natural Language Processing - KONVENS 2008, ed. by A. Storrer et al., Mouton de Gruyter, Berlin.
• Haghighi, A., Ng, A.Y., & Manning, C.D. (2005): Robust Textual Inference via Graph Matching. HLT-EMNLP 2005.
• Hellwig, P. (1985): Program System PLAIN - Examples of Application. (VERSION 1.3., OCTOBER 1985) Computing Unit and Linguistics and International Studies Department, University of Surrey.
• Herrera, J., Penas, A. & Verdejo, F. (2005): Textual Entailment Recognition Based on Dependency Analysis and WordNet. RTE-1.
• Hickl, A., Bensley, J., Williams, J., Roberts, K., Rink, B. & Shi, Y. (2006): Recognizing Textual Entailment with LCC's GROUNDHOG System. RTE-2.
• Hobbs, J.R., Stickel, M., Appelt, D. & Martin, P. (2003): Interpretation as Abduction. Artificial Intelligence 1993, 63(1-2), pp. 69-142.
• Jijkoun, V. & de Rijke, M. (2005): Recognizing Textual Entailment Using Lexical Similarity. RTE-1.
• Koller, A., Debusmann, R., Gabsdil, M. & Striegnitz, K. (2004): Put my galakmid coin into the dispenser and kick it: Computational Linguistics and Theorem Proving in a Computer Game. Journal of Logic, Language, and Information 1(3), pp. 1-19.
• Kouylekov, M. & Magnini, B. (2005): Recognising Textual Entailment with Tree Edit Distance Algorithms. RTE-1.
• Lin, D. & Pantel, P. (2001): Discovery of inference rules for question-answering. Natural Language Engineering 7.
• Manning, C.D. (2006): Local Textual Inference: It's hard to circumscribe, but you know it when you see it - and NLP needs it.
• Pazienza, M., Pennacchiotti, M. & Zanzotto, F. (2005): Textual entailment as syntactic graph distance: A rule based and SVM based approach. RTE-1.
• Pekar, V. (2006): Acquisition of Verb Entailment from Text. HLT-NACL 2006.
• Quirk, C., Brockett, C. & Dolan, W.B. (2004): Monolingual Machine Translation for Paraphrase Generation. Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, 25-26 July 2004, Barcelona Spain, pp. 142-149.
• Raina, R., Ng, A. & Manning, C.D. (2005): Robust textual inference via learning and abductive reasoning. AAAI 2005.
• Rus, V., Graesser, A. & Desai, K. (2005): Lexico-Syntactic Subsumption for Textual Entailment. RANLP 2005.
• Szpektor, I., Tanev, H., Dagan, I. & Coppola, B. (2004): Scaling Web-based Acquisition of Entailment Relations. Proceedings of EMNLP 2004.
• Tatu, M. & Moldovan, D. (2005): A Semantic Approach to Recognizing Textual Entailment. HLT-EMNLP 2005.
• Vanderwende, L. and Dolan, W.B. (2006): What syntax can contribute in the entailment task. MLCW 2005, LNAI 3944, pp. 205-216. J. Quinonero-Candela et al. (eds.). Springer-Verlag.
• Zaenen, A., Karttunen, L. & Crouch, R. (2005): Local Textual Inference: can it be defined or circumscribed? ACL 2005.

• RTE: Recognizing Textual Entailment
• RTE-1: Proceedings of the First Recognising Textual Entailment Workshop, 2005
• RTE-2: Proceedings of the Second Recognising Textual Entailment Workshop, 2006
• RTE-3
• RTE-4
• RTE-5

• Textual Entailment Portal (ACLWiki)
• Bibliography of Paraphrasing

• BPI Textual Entailment Test Suite
• FATE (FrameNet-Annotated Textual Entailment) corpus

• Nutcracker
• Shalmaneser (Semantic Role Labeler)
• DIRT (Discovery of Inference Rules from Text)
• MSR Paraphrase Corpus
• TEASE-Entailment-Muster von Idan Szpektor
• Racer (Reasoner für Beschreibungslogik)