PDF-Improving Question Retrieval in Community Question Ans

Author : karlyn-bohler | Published Date : 2015-04-29

iaaccn Abstract Community question answering cQA which pro vides a platform for people with diverse back ground to share information and knowledge has become an

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Improving Question Retrieval in Community Question Ans: Transcript

iaaccn Abstract Community question answering cQA which pro vides a platform for people with diverse back ground to share information and knowledge has become an increasingly popular research topic In this paper we focus on the task of question re tri. Julia Hirschberg. CS 4705. Today. Information Retrieval. Review of Methods. TREC IR Tracks. Question Answering. Factoid Q/A. A Sample System: UT Dallas (Harabagiu). A simpler alternative from MSR. Information Retrieval. Shallow & Deep. Techniques for NLP. Ling571. Deep Processing Techniques for NLP. March 9, 2011. Examples from Dan . Jurafsky. ). Roadmap. Question-Answering: . Definitions & Motivation. Basic pipeline:. Formulation & Expansion. Ling573. NLP Systems and Applications. May 2, 2013. Deeper Processing for Query Formulation. MULDER (Kwok, . Etzioni. , & Weld). Converts question to multiple search queries. Introduction. Ling 573. NLP Systems and Applications. March 29, 2011. Roadmap. Motivation. 573 Structure. Question-Answering. Shared Tasks. Motivation. Information retrieval is very powerful. Search engines index and search enormous doc sets. Factoid Question Answering . (including a sketch of Information Retrieval. ). Slides adapted from Dan . Jurafsky. , . Jim . Martin and Ed . Hovy. Web-based Question . Answering. Information Retrieval (briefly. Formulation & Expansion. Ling573. NLP Systems and Applications. May 2, 2013. Deeper Processing for Query Formulation. MULDER (Kwok, . Etzioni. , & Weld). Converts question to multiple search queries. Overview. Ling573. Systems & Applications. April 4. , 2013. Roadmap. Dimensions of the problem. A (very) brief history. Architecture of a QA system. QA and resources. Evaluation. Challenges. Logistics Check-in. Group 3. Chad Mills. Esad Suskic. Wee Teck Tan. Outline. System and Data. Document Retrieval. Passage Retrieval. Results. Conclusion. System and Data. Development. Testing. TREC 2004. TREC 2004. TREC 2005. and Re-ranking. Ling573. NLP Systems and Applications. May 3, 2011. Upcoming Talks. Edith Law. Friday: 3:30; CSE 303. Human Computation: Core Research Questions and Opportunities . Games with a purpose, . Introduction. Ling 573. NLP Systems and Applications. April 1, 2013. Roadmap. Motivation. 573 Structure. Question-Answering. Shared Tasks. Motivation. Information retrieval is very powerful. Search engines index and search enormous doc sets. How do we do that?. Emma Meldrum. TPAS Scotland. Currently ?. ELECT. INVITE*. ADVERTISE. How many do you need?. Constitution as guide. Scattering of experts- legal, admin, IT, community, political. Community knowledge. (including a sketch of Information Retrieval. ). Slides adapted from Dan . Jurafsky. , . Jim . Martin and Ed . Hovy. Web-based Question . Answering. Information Retrieval (briefly. ). Today. The notion of getting computers to give reasonable answers to questions has been around for quite awhile. A Panel Discussion. Moderator:. David . Carr. . Forbes Contributor, author, Social Collaboration for Dummies. Teri Wayne. Cintia. . DeAnda. Dan Thomas. Judi Cardinal. Internal. Community. . Customer Community. The student want to make 20 cm. 3. of a 0.2 mol dm. -3. sodium chloride solution using a 1.0 mol dm. -3. sodium chloride solution and distilled water.. 1.0 mol dm. -3. is five times the concentration of 0.2 mol dm.

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