PPT-Paraphrasing and Textual Entailment

Resources A Survey of Paraphrasing and Textual Entailment Methods Androutsopoulos and Malakasiotis Natural Language and Meaning Meaning Language Ambiguity. Put it in Your Own . Words. !. Brain Pop. ©. 2012HappyEdugator. What is paraphrasing?. Identify . the point of the passage.. Emphasize. the most essential details; leave out unnecessary details.. Restate. Paraphrasing . Objective:. Demonstrate comprehension by paraphrasing facts from informational texts. Gain knowledge and apply what they have learned about paraphrasing by reading information about three unusual animals. 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. 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. This workshop will:. Look at the differences between quoting, paraphrasing and summarising as ways of using sources.  . Explain how and when to use quotations, paraphrases and summaries.  . Introduce you to some basic expectations when paraphrasing. 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?. ASC. Academic Skills Centre. Overview. Paraphrasing. Changes the original text into your own words. About the same size as the original text (ideally, shorter). Maintains the original meaning. Summarising. Put it in Your Own . Words!. ©. 2012HappyEdugator. What is paraphrasing?. Identify . the point of the passage.. Emphasize. the most essential details; leave out unnecessary details.. Restate. what you read in your own words... (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. 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. Recognizing. . Textual. . Entailment. (RTE) . Italian. . Chapter. Johan Bos. 1. , Fabio Massimo Zanzotto. 2. , Marco Pennacchiotti. 3. 1. University . of. . Rome. “La Sapienza”, Italy. 2. University of Rome “Tor Vergata”, Italy. 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. 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..