PPT-SI485i : NLP Set 10 Lexical Relations

s lides adapted from Dan Jurafsky and Bill MacCartney Three levels of m eaning Lexical Semantics words Sentential Compositional Formal Semantics Discourse or Pragmatics m eaning context world knowledge. Luca . Cilibrasi. , . Vesna. . Stojanovik. , Patricia Riddell,. . School of Psychology, University of Reading. Minimal pairs. Minimal pairs are defined as pairs of words in a particular language which differ in only one phonological element and have a different meaning (Roach, 2000). Set 3. Language Models. Fall 2012 : Chambers. Language Modeling. Which sentence is most likely (most probable)?. I saw this dog running across the street.. Saw dog this I running across street the.. Why. SI485i : NLP Set 3 Fall 2012 : Chambers Language Modeling • Which sentence is most likely (most probable)? I saw this dog running across the street. Saw dog this I running across street the. Wh 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 . Hira. . Waseem. Lecture. hirawaseem.mscs20@students.mcs.edu.pk. The Role of the Lexical Analyzer. As the first phase of a compiler, the main task of the lexical analyzer is . to read . the input characters of the source program, group them into lexemes, . Linguistic Variation. Gregory R. Guy. Pennsylvania State University. 8 November . 2013. Issues, order of presentation. Theories and models: . Bybee. , . Pierrehumbert. ; Exemplar Theory vs. conventional phonology. and . Stylistic Devices. INTENTIONAL MIXING OF THE STYLISTIC ASPECT OF WORDS. . (. Metaphor. , . Metonymy. , . Irony. ). . INTERACTION OF DIFFERENT TYPES OF LEXICAL MEANING. . INTERACTION. . OF PRIMARY DICTIONARY AND CONTEXTUALLY IMPOSED MEANINGS. 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 . S . -> NP VP. NP -> DT N | NP PP. PP -> PRP NP. VP -> V NP | VP PP. DT -> 'a' | 'the'. N -> 'child' | 'cake' | 'fork'. PRP -> 'with' | 'to'. 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. 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. 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. Dan Jurafsky. Stanford University. Spring 2020 . Introduction and Course Overview. Thanks to . Tsvetkov. and Black course . for ideas and slides!. How should we use NLP for good and not for bad?. The common misconception is that language has to do with . 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.