PPT-Textual Entailment,

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. 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. 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 . (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. Textual Literacy with Various forms of Text and Increasing sources of Information. T. he . ability to . read. , . write. , . analyze. , and . evaluate. textual works of literature and personal and professional . 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. an Existing Graphical . Modeling . Language. : . Experience Report . with GRL. . Vahdat Abdelzad, . Daniel Amyot. , . Timothy . Lethbridge. University of Ottawa, . Canada. damyot@uottawa.ca. SDL 2015, Berlin, October 13. and . Distributional. Semantics. :. Between. . Syntactic. . Structures. and . Compositional. . Distributional. Semantics. Fabio Massimo . Zanzotto. ART Group. Dipartimento di Ingegneria dell’Impresa. When we read, we are often asked to answer questions or express our ideas about the text.. Why use Explicit Textual Evidence. In order to let people know that we aren’t just making stuff up, we should always use Explicit Textual Evidence to support our answers, ideas, or opinions about texts we read..