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» Combining Logic and Machine Learning for Answering Questions
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FLAIRS
2006
13 years 9 months ago
Syntax-based Concept Extraction for Question Answering Using SEMEX
The SEMEX tool for question answering is presented. Its architecture and features for extracting from input text a network of concept nodes that index syntax-based logical forms, ...
Demetrios G. Glinos, Fernando Gomez
ACL
2009
13 years 5 months ago
Learning foci for Question Answering over Topic Maps
This paper introduces the concepts of asking point and expected answer type as variations of the question focus. They are of particular importance for QA over semistructured data,...
Alexander Mikhailian, Tiphaine Dalmas, Rani Pinchu...
ECIR
2007
Springer
13 years 9 months ago
Model Tree Learning for Query Term Weighting in Question Answering
Question answering systems rely on retrieval components to identify documents that contain an answer to a user’s question. The formulation of queries that are used for retrieving...
Christof Monz
ECIR
2004
Springer
13 years 9 months ago
Answer Selection in a Multi-stream Open Domain Question Answering System
Abstract. Question answering systems aim to meet users' information needs by returning exact answers in response to a question. Traditional open domain question answering syst...
Valentin Jijkoun, Maarten de Rijke
ICTAI
2008
IEEE
14 years 2 months ago
Answering Complex Questions Using Query-Focused Summarization Technique
Unlike simple questions, complex questions cannot be answered by simply extracting named entities. These questions require inferencing and synthesizing information from multiple d...
Yllias Chali, Shafiq R. Joty