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» Combining Logic and Machine Learning for Answering Questions
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CLEF
2008
Springer
13 years 7 months ago
Combining Logic and Machine Learning for Answering Questions
Abstract. LogAnswer is a logic-oriented question answering system developed by the AI research group at the University of Koblenz-Landau and by the IICS at the University of Hagen....
Ingo Glöckner, Björn Pelzer
FSKD
2006
Springer
190views Fuzzy Logic» more  FSKD 2006»
13 years 9 months ago
A Maximum Entropy Model Based Answer Extraction for Chinese Question Answering
We regard answer extraction of Question Answering (QA) system as a classification problem, classifying answer candidate sentences into positive or negative. To confirm the feasibil...
Ang Sun, Minghu Jiang, Yanjun Ma
DEXAW
2007
IEEE
138views Database» more  DEXAW 2007»
14 years 3 days ago
Machine Learning for Question Answering from Tabular Data
Question Answering (QA) systems automatically answer natural language questions in a human-like manner. One of the practical approaches to open domain QA consists in extracting fa...
Mahboob Alam Khalid, Valentin Jijkoun, Maarten de ...
CADE
2008
Springer
14 years 6 months ago
Combining Theorem Proving with Natural Language Processing
Abstract. The LogAnswer system is an application of automated reasoning to the field of open domain question-answering, the retrieval of answers to natural language questions regar...
Björn Pelzer, Ingo Glöckner
NAACL
2003
13 years 7 months ago
In Question Answering, Two Heads Are Better Than One
Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multistrategy and multi-source approach to question...
Jennifer Chu-Carroll, Krzysztof Czuba, John M. Pra...