PDF-Entailment,IntensionalityandTextUnderstandingCleoCondoravdi,DickCrouch

presenceoftheinfectionandnotjustitssymptomsIntermsofinsufcicencyweshouldnotethatunderstandingatextimpliestwoabilitiesiYoucanrelatethetexttotheworldandknowwhattheworldwouldhavetobelikeifthet. 24 STUDIES 9. . "Entailment and Relevance," Journal of Symbolic Logic, 25:144-46 (1960). 10. . "Tautological Entailments" (abstract), Joumal of Symbolic Logic, 24: 316 (1959). 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. 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?. answered positively (with some qualifications to be outlined). Block and Stalnaker hold that the first three questions should be answered negatively. Their central strategy is to argue for a negative 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?. PRESUPPOSITION AND ENTAILMENT. A presupposition is something the speaker assumes to be the case prior to making an utterance. Speakers, not sentences, have presupposition. . Example:. (1) . Mary’s brother bought three houses.. . Perkowski. INTRODUCTION TO . MODAL AND EPISTEMIC LOGIC . for beginners. Overview. Why we need moral robots. Review of classical Logic. The . Muddy. Children Logic Puzzle. The . partition model . of knowledge. Open-IE . meets . Knowledge . Representation. Ido Dagan. Bar-. Ilan. University, Israel. Knowledge Representation (KR). Two complementary frameworks:. Knowledge graphs. Formal pre-specified schema & predicates. 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. Asher Stern & . Ido. Dagan. ISCOL. June 2011, Israel. 1. Recognizing Textual Entailment (RTE). Given a text, . T. , and a hypothesis, . H. Does . T. entail . H. 2. T. : . An explosion caused by gas took place at a .