PDF-NPI-Licensing, Strawson-Entailment, and Context-Dependency

Author : lois-ondreau | Published Date : 2016-06-01

Kai von Fintel MIT August 1998 slightly revised April 1999 To appear in Journal of Semantics 161 1999 The FauconnierLadusaw analysis of negative polarity licensing

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NPI-Licensing, Strawson-Entailment, and Context-Dependency: Transcript


Kai von Fintel MIT August 1998 slightly revised April 1999 To appear in Journal of Semantics 161 1999 The FauconnierLadusaw analysis of negative polarity licensing that NPIs are licensed in the. Test in Loops. By . Amala. Gandhi. Data Dependence. Three types of data dependence:. Flow (True) dependence : read-after-write. . int. a, b, c;. a . = c * 10;. b . = 2 * a + c. ;. Anti Dependency: write-after-read. Peter Clark. Allen Institute for Artificial Intelligence (AI2). Mission: . achieve scientific breakthroughs by constructing AI systems with reasoning, learning, and reading capabilities. . 2. Overall Goals. Resources: . A Survey of Paraphrasing and Textual Entailment . Methods. . . . Androutsopoulos. and . Malakasiotis. Natural Language and Meaning. Meaning. Language. Ambiguity. QA4MRE, . and Machine Reading. Peter Clark. Vulcan Inc.. What is . Machine Reading?. Not (just). parsing + word senses. Construction of a . coherent representation. of the scene the text describes. Keith . HallRyan. . McDonaldJason. Katz-. BrownMichael. . Ringgaard. Evaluation. Intrinsic. How well does system replicate gold annotations?. Precision/recall/F1, accuracy, BLEU, ROUGE, etc.. Extrinsic. Randy . Goebel. Alberta Innovates Centre for Machine Learning. Department of Computing Science. University of Alberta. Edmonton, Alberta . Canada. rgoebel@ualberta.ca. Fuji-san. BIRS. Science or Engineering?. (Excitement Project). Bernardo Magnini. (on behalf of the Excitement consortium). 1. STS workshop, NYC March 12-13 2012. Excitement Project. EXploring. Customer Interactions through Textual . EntailMENT. Juha Vesala. Post-doctoral researcher. University of Helsinki. NIR 2016. Copenhagen, 20 June 2016. Approach. and logic of Huawei. Exercise. / . exceptional. . circumstances. . paradigm. . continued. Peter Clark. Allen Institute for Artificial Intelligence (AI2). Mission: . achieve scientific breakthroughs by constructing AI systems with reasoning, learning, and reading capabilities. . 2. Overall Goals. Omer Levy . Ido. Dagan Jacob Goldberger. Bar-. Ilan. University, . Israel. Open IE. Extracts propositions from text. “…which makes aspirin relieve headaches.”. No supervision. No pre-defined schema. algorithms in. Question Answering. Alexander . Solovyev. Bauman Moscow Sate Technical University. a-soloviev@mail.ru. 20.10.2011. 1. RCDL. Voronezh.. Agenda. Question Answering and Answer Validation task. algorithms in. Question Answering. Alexander . Solovyev. Bauman Moscow Sate Technical University. a-soloviev@mail.ru. 20.10.2011. 1. RCDL. Voronezh.. Agenda. Question Answering and Answer Validation task. Juha Vesala. Post-doctoral researcher. University of Helsinki. NIR 2016. Copenhagen, 20 June 2016. Approach. and logic of Huawei. Exercise. / . exceptional. . circumstances. . paradigm. . continued. Detection using Dependency Context. Shyam Upadhyay* . Yogarshi. . Vyas. *. Dan Roth Marine . Carpuat. (Mono-lingual) . Hypernymy. Detection. 2. squirrel. r. odent. (i.e., is a kind of?). Hypernym.

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