PDF-Entailment,IntensionalityandTextUnderstandingCleoCondoravdi,DickCrouch

presenceoftheinfectionandnotjustitssymptomsIntermsofinsufcicencyweshouldnotethatunderstandingatextimpliestwoabilitiesiYoucanrelatethetexttotheworldandknowwhattheworldwouldhavetobelikeifthet. Unit . 4 . Vocabulary. 1) . Acquiescence . n.. Agreement with a statement or proposal to do something. We cannot sit in silent . acquiescence. to the incredible injustice of the government’s actions.. 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. Board Talk Wrap Up. What do we know about the characters and how?. Discuss your board at your table with this question in mind.. Character and Theme. Categorize/Group these characters. What themes is Austen setting up through her characters?. University . of. . Rome. “Tor Vergata”. Roma, Italy. Textual Entailment Recognition for Web Based Question-Answering. Operational. . Scenarios. What’s. the . weather. in Macao?. When. . is. 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. 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. Board Talk Wrap Up. What do we know about the characters and how?. Discuss your board at your table with this question in mind.. Character and Theme. Categorize/Group these characters. What themes is Austen setting up through her characters?. 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. Entailment and Paraphrasing. MSR Paraphrase Corpus. 1. Amrozi. accused his brother, whom he called "the witness", of deliberately distorting his evidence.. Referring to him as only "the witness", . Amrozi. Open-IE . meets . Knowledge . Representation. Ido Dagan. Bar-. Ilan. University, Israel. Knowledge Representation (KR). Two complementary frameworks:. Knowledge graphs. Formal pre-specified schema & predicates. ENTAILMENT. 4.1 Presupposition. 4.2 Types of Presupposition. 4.3 The Projection Problem. 4.4 Ordered Entailment. Introduction. : something that the speaker assumes to be the case before making an utterance. 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.