PPT-Introduction to NLP CMSC 723: Computational Linguistics I ― Session #1

Jimmy Lin The iSchool University of Maryland Wednesday September 2 2009 NLP IR About Me Teaching Assistant Melissa Egan CLIP About You prerequisites Must be interested in NLP Must have strong computational background. Context-Free . Grammars. Ambiguity . CMSC 330. 2. Review. Why should we study CFGs?. What are the four parts of a CFG?. How do we tell if a string is accepted by a CFG?. What. ’. s a parse tree?. CMSC 330. The IESO administers the wholesale electricity markets in Ontario. It operates a real‑time energy market, in which electricity demand and supply are balanced and instructions are issued to . dispatchable. 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 . Subproblems. . Meliha. . Yetisgen-Yildiz. From last week’s discussion. Presentation. Schedule. : . http. ://faculty.washington.edu/melihay/. MEBI591C.htm. 50 . minutes . presentation+discussion+question. 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 . scientific study. of language. . The . word ‘language’ here . means language . in general, not a particular language.. According to Robins (1985), linguistics. is concerned with human language as a universal and recognizable . Parser. Earley. parser. Problems with left recursion in top-down parsing. VP . . VP PP. Background. Developed by Jay Earley in 1970. No need to convert the grammar to CNF. Left to right. Complexity. Jimmy Lin. The . iSchool. University of Maryland. Wednesday, September 30, 2009. Today’s Agenda. The great leap forward in NLP. Hidden Markov models (HMMs). Forward algorithm. Viterbi. . decoding. 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. Three Stages of the TIP:. Divided Kingdom (Dynasty 21). 1076-943. Meshwesh. Libyan Dynasty (Dynasty 22). 943-845. Fragmented Kingdom (Dynasties 23-25). 845-723. The Third Intermediate Period . 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. Mona Bostick RDN, LDN. 2020 CMSC VIRTUAL ANNUAL MEETING. 1. Accreditation and Credit Designation. In support of improving patient care, the Consortium of Multiple Sclerosis Centers (CMSC) is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.. 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 . kindly visit us at www.nexancourse.com. Prepare your certification exams with real time Certification Questions & Answers verified by experienced professionals! We make your certification journey easier as we provide you learning materials to help you to pass your exams from the first try.