PPT-NLP Text Similarity

Semantic Similarity Synonymy and Other Semantic Relations Synonyms and paraphrases Example postclose market announcements The SampP 500 climbed 693 or 056 percent to 124372 . David Kauchak. cs160. Fall . 2009. Administrative. Hw5/paper review. what . would be useful for the . authors. technical. , refers to not only the results, but the rest of the . paper. give . as many specific examples as . for Strings and Sets. William Cohen. SELECT R.a,S.a,S.b,T.b FROM R,S,T . WHERE R.a=S.a and S.b=T.b. WHIRL approach:. Link items as. needed. by Q. WHIRL approach:. Query Q. SELECT R.a,S.a,S.b,T.b FROM R,S,T . medical dictations. Stefan Petrik . , . Christina . Drexel, . Leo Fessler . , . Jeremy Jancsary . , . Alexandra Klein . ,Gernot . Kubin . , . Johannes Matiasek . , . Franz Pernkopf . , . Harald . Trost. these theories have explanatory power domains partially role of relational judgments. Previous structural and aspects of notion of relational similarity by the fact that and her some ways there is in The first hint Mr. Slippery had that his own True Name might be known--and, for that matter, known to the Great Enemy--came with the appearance of two black Lincolns humming up the long dirt driveway ... Roger Pollack was in his garden weeding, had been there nearly the whole morning.... Four heavy-set men and a hard-looking female piled out, started purposefully across his well-tended cabbage patch.…. David Kauchak. cs458. Fall 2012. Administrative. Schedule. Readings. Lunch today!. HW4 due tomorrow. Attendance. Today’s class. Blend of introductory material and research talk. Problem of topic segmentation. Presented by Sole. Chapters 1 - 5. Introduction. Artificial intelligence. Build . systems . that . incorporate . knowledge . about a . domain to . reason. . on the basis of this knowledge and solve problems . The first hint Mr. Slippery had that his own True Name might be known--and, for that matter, known to the Great Enemy--came with the appearance of two black Lincolns humming up the long dirt driveway ... Roger Pollack was in his garden weeding, had been there nearly the whole morning.... Four heavy-set men and a hard-looking female piled out, started purposefully across his well-tended cabbage patch.…. Applications:. Web pages . Recommending pages. Yahoo-like classification hierarchies. Categorizing bookmarks. Newsgroup Messages /News Feeds / Micro-blog Posts. Recommending messages, posts, tweets, etc.. Edit Distance. Spelling Similarity. Typos:. Brittany Spears -> Britney Spears. Catherine Hepburn -> Katharine Hepburn. Reciept. -> receipt. Variants in spelling:. Theater -> theatre. Who is this?. Text Similarity. Motivation. People can express the same concept (or related concepts) in many different ways. For example, “the plane leaves at 12pm” vs “the flight departs at noon”. Text similarity is a key component of Natural Language Processing. Quiz. Which pair of words exhibits the greatest similarity?. 1. Deer-elk. 2. Deer-horse. 3. Deer-mouse. 4. Deer-roof. Quiz Answer. Which pair of words exhibits the greatest similarity?. 1. Deer-elk. 2. Deer-horse. Scott Wen-tau Yih. Joint work with. Kristina Toutanova, John Platt, Chris Meek. Microsoft Research. Cross-language Document Retrieval. English Query Doc. Spanish Document Set. Web Search & Advertising. Daniel M. Romero . School . of . Information . University . of Michigan . In collaboration with Danaja Maldeniya, . Arun. Varghese and Toby Stuart. What affects the odds that a potential romantic partner responds to a message on a dating site?.