PPT-Semantics in NLP (part 2)

MASS60 Rob Speer Catherine Havasi Lots of slides borrowed for lots of sources See end Are people doing logic Language Log Russia sentences More people have been to Russia than I have. Introduction. Dana . Retov. á. . CSCTR2010 – Session 1. Agents. entities achieving some goals by sensing and acting in certain (real or virtual) environments. bacteria, animals, humans, some computer programs and robots . Fei Wu. Google Inc.. Petros. . Venetis. , . Alon. Halevy, . Jayant. . Madhavan. , Marius . Paşca. , Warren . Shen. , . Gengxin. Miao, Chung Wu. 1. Finding Needle in Haystack. 2. Finding Structured Data. Morphology and the Lexicon. Mental Lexicon. What is the meaning of cat? Its pronunciation? Part of speech?. What is the meaning of . wug. ?. What is the meaning of . cluvious. ?. Compare . traftful. and . Outline. Some Sample NLP Task . [Noah Smith]. Structured Prediction For NLP. Structured Prediction Methods. Conditional Random Fields. Structured . Perceptron. Discussion. Motivating Structured-Output Prediction for NLP. Text-to-Scene Generation. 1. Bob Coyne (. coyne@cs.columbia.edu. ). Owen . Rambow. (. rambow@ccls.columbia.edu. ). . Richard . Sproat. (. rws@xoba.com. ). Julia Hirschberg (. julia@columbia.edu. ). Class Logistics. Quiz. Where is this quote from?. Dave Bowman. : Open the pod bay doors, HAL.. HAL. : I’m sorry Dave. I’m afraid I can’t do that.. Quiz Answer. “2001: A Space Odyssey” . 1968 film by Stanley Kubrick . Grigore Rosu. University of Illinois at Urbana-Champaign, USA. Runtime Verification, Inc.. 1. 12 October 2017, LOPSTR’17. Ideal Language Framework Vision. Deductive program verifier. Parser. Interpreter. Chapter 3 Topics. Introduction. The General Problem of Describing Syntax. Formal Methods of Describing Syntax. Attribute Grammars. Describing . the Meanings of Programs: Dynamic Semantics. 1-. 2. Introduction. Who wrote which Federalist papers?. 1787-8: anonymous essays try to convince New York to ratify U.S Constitution: . . Jay, Madison, Hamilton. . Authorship of 12 of the letters in dispute. 1963: solved by . Jimmy Lin. The . iSchool. University of Maryland. Wednesday, September 2, 2009. NLP. IR. About Me. Teaching Assistant: . Melissa Egan. CLIP. About You (pre-requisites). Must be interested in NLP. Must have strong computational background. Biomedical Informatics. UC San Diego. October 13, 2016. Chunnan Hsu. Ramana. . Seerapu. Scott Duvall. Olga Patterson. Hua Xu. Michael Matheny. Glenn . Gobbel. Tsung. -Ting . Kuo. Current members. The NLP working group is tasked to accurately extract phenotypes for three clinical conditions: Kawasaki Disease (KD), Weight Management / Obesity (WM/O), and Congestive Heart Failure (CHF), from tens of millions of clinical notes shared by participating institutes in . D1 AHM, Park City, UT May 15, 2014. Presenters: Mark Schildhauer & Xixi Luo. Participants. Mark Schildhauer. Xixi Luo. Line Pouchard. Deborah L. McGuinness (remote). Margaret O’Brien (remote). Ontology Design Patterns (ODPs) for. Jiho . Han. Ronny (. Dowon. ) . Ko. Objective:. automatically generate the summary of review extracting the strength/weakness of the product. Use NLP techniques to predict ratings. Similar to sentimental analysis. by Hua Xu. Recent Activities. ETL tool development. Note Type Normalization. COVID-19 lab test normalization . A Potential ETL Workflow for NLP. Note. Note_NLP. Measure-. ment. Condition. Procedure. Drug.