PDF-UNSUPERVISED WORD SENSE DISAMBIGUATION RIVALING SUPERV

upenn edu Abstract This paper presents an unsupervised learn ing algorithm for sense disambiguation that when trained on unannotated English text rivals the performance of supervised techniques that require timeconsuming hand annotations The algorit. - Presented by Avinash S Bharadwaj (1000663882) . Abstract. The aim of the paper. Annotation of open domain unstructured web text with uniquely identified entities in a social media like Wikipedia.. MAS.S60. Catherine . Havasi. Rob Speer. Banks?. The edge of a river. “I fished on the bank of the Mississippi.”. A financial institution. “Bank of America failed to return my call.”. The building that houses the financial institution. Julia Hirschberg. CS 4705. Slides adapted from Kathy McKeown, Dan Jurafsky, Jim Martin and Chris Manning. Lexical Semantics. The meanings of . individual words. Formal Semantics. (or Compositional Semantics or Sentential Semantics). Temporal Commonality Discovery. Wen-Sheng . Chu. , . Feng. Zhou and Fernando De la Torre. Robotics Institute, Carnegie Mellon University. July 9, . 2013. 1. Unsupervised Commonality Discovery. in . Images. A Unified Approach for Measuring Semantic Similarity. Mohammad . Taher. . Pilehvar. David . Jurgens. Roberto Navigli. Semantic. . Similarity. ; . how. . similar. are a . pair. of . lexical. . items. Madian. . Khabsa. 1,3. , . Pucktada. . Treeratpituk. 2. , . C. Lee . Giles. 1. 1. The Pennsylvania State . University. 2. Ministry . of Science and . Technology, Thailand. 3. Microsoft Research. giles@ist.psu.edu. Francisco . Viveros-Jiménez. Alexander . Gelbukh. Grigori. . Sidorov. What is CICWSD?. Quick Start. Configuration file. <. dict. >. <. testbed. >. <docs>. <. xls. >. <test>. http://dbpedia.org/resource/Spain. http://www4.wiwiss.fu-berlin.de/factbook/resource/Spain. http://sws.geonames.org/2510769. http://www.w3.org/People/Berners-Lee/card#i. http://www4.wiwiss.fu-berlin.de/dblp/resource/person/100007. General Classification Concepts. Unsupervised Classifications. Learning Objectives. What is image classification. ?. W. hat are the three . broad . classification strategies?. What are the general steps required to classify images? . Kate Saenko Trevor Darrell. Deepak. Polysemy. Ambiguity of an individual word or phrase that can be used in different contexts to express two or more meanings. Eg. Present: right now. Present: a gift. Preeti Bhargava, . Nemanja. . Spasojevic, . Guoning. Hu. Applied Data Science, Lithium Technologies. Email: . team-relevance@klout.com. Problem. Applications. Tweets & other user generated text. Aim to get back on Tuesday. I grade on a curve. One for graduate students. One for undergraduate students. Comments?. Midterm. You should have received email with your grade – if not, let . Madhav. Dan Jurafsky. Stanford University. Lecture 2: Word Sense Disambiguation. Word Sense Disambiguation (WSD). Given . A. . word in . context . A fixed inventory of potential word . senses. Decide which sense of the word this . FROM BIG DATA. Richard Holaj. Humor GENERATING . introduction. very hard . problem. . deep. . semantic. . understanding. . cultural. . contextual. . clues. . solutions. . using. . labelling.