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» Mining Causality from Texts for Question Answering System
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SYNASC
2008
IEEE
267views Algorithms» more  SYNASC 2008»
14 years 1 months ago
Grammar-Based Automatic Extraction of Definitions
This paper presents part of our work in the LT4eL project [1] regarding the grammar developed by the Romanian team in order to extract definitions from texts. Some qualitative res...
Adrian Iftene, Ionut Pistol, Diana Trandabat
IUI
2006
ACM
14 years 1 months ago
Towards intelligent QA interfaces: discourse processing for context questions
Question answering (QA) systems take users’ natural language questions and retrieve relevant answers from large repositories of free texts. Despite recent progress in QA researc...
Mingyu Sun, Joyce Y. Chai
LREC
2010
173views Education» more  LREC 2010»
13 years 9 months ago
A Corpus for Studying Full Answer Justification
Question answering (QA) systems aim at retrieving precise information from a large collection of documents. To be considered as reliable by users, a QA system must provide element...
Arnaud Grappy, Brigitte Grau, Olivier Ferret, Cyri...
EMNLP
2010
13 years 5 months ago
Learning First-Order Horn Clauses from Web Text
Even the entire Web corpus does not explicitly answer all questions, yet inference can uncover many implicit answers. But where do inference rules come from? This paper investigat...
Stefan Schoenmackers, Jesse Davis, Oren Etzioni, D...
KCAP
2009
ACM
14 years 2 months ago
Multimodal knowledge capture from text and diagrams
Many information sources use multiple modalities, such as textbooks, which contain both text and diagrams. Each captures information that is hard to express in the other, and evid...
Kate Lockwood, Kenneth D. Forbus