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Question-Answering: Shallow & Deep Techniques for NLP

Question-Answering: Shallow & Deep Techniques for NLP

Question-Answering: 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: Question processing Retrieval Answering processing

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1.13k views • 84 slides
Learn

Learn

Learn Question Focus and Dependency Relations from Web Search Results for Question Classification. Wen-Hsiang Lu ( ??? ) whlu@mail.ncku.edu.tw Web Mining and Multilingual Knowledge System Laboratory, Department of Computer Science and Information Engineering,

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670 views • 58 slides
An Integrated Knowledge-based and Machine Learning Approach for Chinese Question Classification

An Integrated Knowledge-based and Machine Learning Approach for Chinese Question Classification

An Integrated Knowledge-based and Machine Learning Approach for Chinese Question Classification. Min-Yuh Day 1,2 , Cheng-Wei Lee 1 , Shih-Hung Wu 3 , Chorng-Shyong Ong 2 , Wen-Lian Hsu 1 1 Institute of Information Science, Academia Sinica, Taipei

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357 views • 26 slides
Question-Answering on Yahoo!Answers: Preliminary Results

Question-Answering on Yahoo!Answers: Preliminary Results

Question-Answering on Yahoo!Answers: Preliminary Results. Rong Tang Sheila Denn OCLC/ALISE LIS Research Grant Presentation ALISE 2009 January 23, 2009. Background. Yahoo!Answers Social Q&A 25+ pre-defined categories Users post questions, answer questions, rate answers, provide comments

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332 views • 22 slides
Question-Answering on Yahoo!Answers: Preliminary Results

Question-Answering on Yahoo!Answers: Preliminary Results

Question-Answering on Yahoo!Answers: Preliminary Results. Rong Tang Sheila Denn OCLC/ALISE LIS Research Grant Presentation ALISE 2009 January 23, 2009. Background. Yahoo!Answers Social Q&A 25+ pre-defined categories Users post questions, answer questions, rate answers, provide comments

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225 views • 22 slides
LING 573: Deliverable 4

LING 573: Deliverable 4

LING 573: Deliverable 4. Group 7 Ryan Cross Justin Kauhl Megan Schneider. Previous Work. Question Classification MaxEnt Classifier Vectors: Unigrams, Bigrams, Chunks, Hypernyms Best Results:. Previous Work. Passage Retrieval Indri/Lemur

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245 views • 17 slides
A Taxonomy of Questions for Question Generation

A Taxonomy of Questions for Question Generation

A Taxonomy of Questions for Question Generation. Rodney D. Nielsen 1,2 , Jason Buckingham, Gary Knoll, Ben Marsh and Leysia Palen 1 Boulder Language Technologies, Boulder, CO 2 Center for Computational Language and Education Research, CU, Boulder. The Goal of the Taxonomy.

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283 views • 11 slides

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