PPT-Knowledge and Tree-Edits in Learnable Entailment

Proofs Asher Stern Amnon Lotan Shachar Mirkin Eyal Shnarch Lili Kotlerman Jonathan Berant and Ido Dagan TAC November 2011 NIST Gaithersburg Maryland USA. Pamela Fell. Jackson Health System. Corporate Director. Corporate Business Office. August 13, 2014. “The Buck Starts Here. ”. The Most Important Process in the Business . Office:. Billing . – “The Buck . 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.. Proofs. Asher Stern,. . Amnon. . Lotan. , . Shachar. . Mirkin. , . Eyal. . Shnarch. , . Lili. . Kotlerman. , Jonathan . Berant. . and . Ido. Dagan. TAC. November 2011, NIST, Gaithersburg, Maryland, USA. 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. evolvability. Vitaly. Feldman . Almaden. Research Center. Learning from examples vs . evolvability. Learnable from examples. Evolvable. Parity functions. The core model: PAC . [Valiant . 84. ]. Learner observes random examples: . 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 . 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. 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. 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 . Agenda. History of NCCI Edits. Purpose and Design. Fragmenting and Unbundling. Standards of Medical and Surgical Practice. NCCI Edit Files. Modifier Not Allowed. Modifier 25. Modifier 27. Modifier 59.