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Open Domain Question Answering: Techniques, Resources and Systems

Open Domain Question Answering: Techniques, Resources and Systems

Open Domain Question Answering: Techniques, Resources and Systems. Bernardo Magnini Itc-Irst Trento, Italy magnini@itc.it. Outline of the Tutorial. Introduction to QA QA at TREC System Architecture - Question Processing - Answer Extraction Answer Validation on the Web

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1.3k views • 113 slides
IR Lecture 1

IR Lecture 1

IR Lecture 1 . Information Retrieval. Information retrieval is concerned with representing, searching, and manipulating large collections of electronic text and other human-language data .

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683 views • 56 slides
Evaluation of IR systems

Evaluation of IR systems

Evaluation of IR systems. Lecture plan. Background System-centred evaluation User-centred evaluation. The changing face of evaluation. Originally... Batch IR systems Small, textual collections Queries formulated by searchers Today... Interactive IR systems

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660 views • 48 slides
Information Retrieval

Information Retrieval

Information Retrieval. CSE 8337 Spring 2007 Retrieval Evaluation Many slides in this section are adapted from Prof. Raymond J. Mooney in CS378 at UT which were adapted from Prof. Joydeep Ghosh (UT ECE) who in turn adapted them from Prof. Dik Lee (Univ. of Science and Tech, Hong Kong).

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829 views • 45 slides
Fact-based question decomposition in DeepQA

Fact-based question decomposition in DeepQA

Fact-based question decomposition in DeepQA. Safa Sattar. Single Shot Approach.

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439 views • 31 slides
Adjacency Matrices , Incidence Matrices , Database Schemas , and Associative Arrays

Adjacency Matrices , Incidence Matrices , Database Schemas , and Associative Arrays

Adjacency Matrices , Incidence Matrices , Database Schemas , and Associative Arrays. Jeremy Kepner & Vijay Gadepally IPDPS Graph Algorithm Building Blocks.

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626 views • 31 slides
Adaptive Subjective Triggers for Opinionated Document Retrieval

Adaptive Subjective Triggers for Opinionated Document Retrieval

Adaptive Subjective Triggers for Opinionated Document Retrieval. Kazuhiro Seki Organization of Advanced Science & Technology Kobe University Kuniaki Uehara Graduate School of Engineering, Kobe University 2 /10/2009. Background. Increasing user-generated contents (UGC) on the web

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383 views • 29 slides
QUESTION AND ANSWERING

QUESTION AND ANSWERING

QUESTION AND ANSWERING. Overview. What is Question Answering? Why use it? How does it work? Problems Examples Future. What is it?. Definition of Question Answering Examples AskJeeves is probably most well known example AnswerBus is an open-domain question answering system

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428 views • 21 slides
Second Order Co-occurrence PMI for Determining the Semantic Similarity of Words

Second Order Co-occurrence PMI for Determining the Semantic Similarity of Words

Second Order Co-occurrence PMI for Determining the Semantic Similarity of Words. Md. Aminul Islam Diana Inkpen University of Ottawa. Outline. Introduction Different Methods SOC-PMI Method A Walk-through Example Evaluation and Experimental results Applications and Future Work Conclusion

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501 views • 21 slides
A semantic approach for question classification using WordNet and Wikipedia

A semantic approach for question classification using WordNet and Wikipedia

A semantic approach for question classification using WordNet and Wikipedia. Presenter : Cheng- Hui Chen Authors : Santosh Kumar Ray, Shailendra Singh, B.P. Joshi PRL, 2010. Outlines. Motivation Objectives Methodology Experiments Conclusions Comments. Motivation.

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288 views • 19 slides
Search Engines and Information Retrieval

Search Engines and Information Retrieval

Chapter 1. Search Engines and Information Retrieval. Search and Information Retrieval. Search and communication are most popular uses of the computer Search on the Web is a daily activity for many people throughout the world Applications involving search are everywhere

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414 views • 17 slides

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