Automatic Question-Answering for Discussion Board

Oct 06, 2014

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Automatic Question-Answering for Discussion Board. Intelligent Systems Division Open House June 17, 2005.

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Automatic Question-Answering for Discussion Board

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Automatic Question-Answering for Discussion Board Intelligent Systems Division Open House June 17, 2005

Question-Answering

Question-Answering via the Web: the AskMSR System Note: these viewgraphs were originally developed by Professor Nick Kushmerick, University College Dublin, Ireland. These copies are intended only for use for review in ICS 278. Question-Answering.

988 views • 19 slides

Semantic Inference for Question Answering

Semantic Inference for Question Answering. Sanda Harabagiu Department of Computer Science University of Texas at Dallas. Srini Narayanan International Computer Science Institute Berkeley, CA. and. Outline. Part I. Introduction: The need for Semantic Inference in QA

2.07k views • 168 slides

Question Answering

434 views • 30 slides

Question AnswerinG

Question AnswerinG. Deliverable 3 – Question Processing John Gilmer Michael Foster Adam Ledyard. Overview. Question Classification Question Reformulation Query Expansion Results Related Reading. Question Classification. Used Roth and Li’s Question Classification Taxonomy

286 views • 8 slides

Question for Discussion

Question for Discussion. Explain what Fitzgerald achieved by using the narrator’s point of view to tell Gatsby’s story? By using the _______________ perspective in The Great Gatsby, F. Scott Fitzgerald is able to ______________________________________. Vocabulary Activity #1 – The Great Gatsby

429 views • 26 slides

Automatic Set Expansion for List Question Answering

Automatic Set Expansion for List Question Answering. Richard C. Wang , Nico Schlaefer, William W. Cohen, and Eric Nyberg Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213 USA. Task.

413 views • 30 slides

Question for Discussion

Question for Discussion.

432 views • 35 slides

Probabilistic Question Recommendation for Question Answering Communities

Probabilistic Question Recommendation for Question Answering Communities. Mingcheng Qu, Guang Qiu, Xiaofei He, Cheng Zhang, Hao Wu, Jiajun Bu, Chun Chen College of Computer Science and Technology, Zhejiang University, China. Method. Results. Introduction.

114 views • 1 slides

Question Answering Tutorial

Question Answering Tutorial. Based on: John M. Prager IBM T.J. Watson Research Center jprager@us.ibm.com Taken from (with deletions and adaptations): RANLP 2003 tutorial http://lml.bas.bg/ranlp2003/ Tutorials link, Prager tutorial. Part I - Anatomy of QA. A Brief History of QA

656 views • 43 slides

Question Answering Technologies

Question Answering Technologies. Lyubomyr Havrylyuk. University of Konstanz. Feb 07,2011. Outline. QA Systems Historical Introduction. Modern approaches. Question focus recognition. Intelligent numerical answers generation. Answer recognition and extraction.

406 views • 24 slides

Question Answering

Question Answering. What is Question Answering?. Question Answering. One of the oldest NLP tasks (punched card systems in 1961). Simmons, Klein, McConlogue . 1964. Indexing and Dependency Logic for Answering English Questions. American Documentation 15:30, 196-204.

891 views • 51 slides

Question Answering

Question Answering. CS 290N, 2010. Instructor: Tao Yang (some of these slides were adapted from presentations of Giuseppe Attardi, Rada Mihalcea, Chris Manning’, Nicholas Kushmerick). Question Answering. Earlier IR systems focus on queries with short keywords

911 views • 69 slides

Question Answering

Question Answering. Group Members: Satadru Biswas (05005021) Tanmay Khirwadkar (05005016) Arun Karthikeyan Karra (05d05020) CS 626-460 Course Seminar Group-2. Outline. Introduction Why Question Answering ? AskMSR FALCON Conclusion. Introduction.

628 views • 40 slides

Question Answering

Question Answering. Advanced: Answering Complex Questions. Answering harder questions. Q: What is water spinach?

319 views • 8 slides

Automatic Answer Validation in Open -Domain Question Answering

Automatic Answer Validation in Open -Domain Question Answering. Hristo Tanev TCC,ITC - IRST. Open Domain Question Answering. Which is the capital of Italy?. Automatic extracting of the answer of a natural language question Related fields : Information Extraction Information Retrieval

674 views • 48 slides

Automatic Question Answering

Automatic Question Answering. Introduction Factoid Based Question Answering. Uses of Automatic Question Answering. FAQ (Frequently Asked Questions) Help Desks / Customer Service Phone Centers Accessing Complex set of Technical Maintenance Manuals

333 views • 13 slides

Question Answering

Question Answering. Using Knowledge in QA. Relation Extraction. Answers: Databases of Relations born-in(“Emma Goldman”, “June 27 1869”) author-of(“Cao Xue Qin”, “Dream of the Red Chamber”) Draw from Wikipedia infoboxes , DBpedia , FreeBase , etc.

207 views • 6 slides

Question Answering

Question Answering. Off-line answer extraction / Jori Mur. Overview. Using patterns to extract answers off-line High precision, low recall Simple patterns not robust enough Answer not in one sentence No binary relation in question Hard to come up with new patterns. Joost.

317 views • 21 slides

Question Answering

Question Answering. Marti Hearst November 14, 2005. Question Answering. Outline Introduction to QA A typical full-fledged QA system A very simple system, in response to this An intermediate approach Incorporating a reasoning system Machine Learning of mappings

1.14k views • 95 slides

Semantic Parsing for Question Answering

Semantic Parsing for Question Answering. Raymond J. Mooney University of Texas at Austin. 1. 1. Semantic Parsing. Semantic Parsing : Transforming natural language (NL) sentences into completely formal logical forms or meaning representations (MRs).

223 views • 18 slides

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