The first Answer Validation Exercise (AVE) has been launched at the Cross Language Evaluation Forum 2006. This task is aimed at developing systems able to decide whether the answer of a Question Answering system is correct or not. The exercise is described here together with the evaluation methodology and the systems results. The starting point for the AVE 2006 was the reformulation of the Answer Validation as a Recognizing Textual Entailment problem, under the assumption that hypothesis can be automatically generated instantiating hypothesis patterns with the QA systems ’ answers. 11 groups have participated with 38 runs in 7 different languages. Systems that reported the use of logic have obtained the best results in their respective subt...
In this paper we describe the system we developed for taking part in monolingual Spanish and English...
International audienceQuestion answering (QA) aims at retrieving precise information from a large co...
Abstract. The recognition of textual entailment is a new generic task in which a system automaticall...
The first Answer Validation Exercise (AVE) has been launched at the Cross Language Evaluation Forum ...
The Answer Validation Exercise at the Cross Language Evaluation Forum is aimed at developing systems...
The Answer Validation Exercise at the Cross Language Evaluation Forum (CLEF) is aimed at developing ...
MAVE (Multinet-based Answer VErification) is an answer validation system based on deep linguistic pr...
Abstract. This paper is about our approach to answer validation, which centered by a Recognizing Tex...
The Answer Validation Exercise (AVE) 2006 is aimed at developing systems able to decide whether the ...
Abstract. The present article presents the steps involved in the transformation of the TE system tha...
This paper introduces the new INAOE’s answer validation method. This method is based on supervised l...
Question answering (QA) aims at retrieving precise information from a large collection of documents....
The objective of the Answer Validation Exercise (AVE) 2007 is to develop systems able to decide if t...
International audienceQuestion answering (QA) aims at retrieving precise information from a large co...
The fifth QA campaign at CLEF, the first having been held in 2006. was characterized by continuity w...
In this paper we describe the system we developed for taking part in monolingual Spanish and English...
International audienceQuestion answering (QA) aims at retrieving precise information from a large co...
Abstract. The recognition of textual entailment is a new generic task in which a system automaticall...
The first Answer Validation Exercise (AVE) has been launched at the Cross Language Evaluation Forum ...
The Answer Validation Exercise at the Cross Language Evaluation Forum is aimed at developing systems...
The Answer Validation Exercise at the Cross Language Evaluation Forum (CLEF) is aimed at developing ...
MAVE (Multinet-based Answer VErification) is an answer validation system based on deep linguistic pr...
Abstract. This paper is about our approach to answer validation, which centered by a Recognizing Tex...
The Answer Validation Exercise (AVE) 2006 is aimed at developing systems able to decide whether the ...
Abstract. The present article presents the steps involved in the transformation of the TE system tha...
This paper introduces the new INAOE’s answer validation method. This method is based on supervised l...
Question answering (QA) aims at retrieving precise information from a large collection of documents....
The objective of the Answer Validation Exercise (AVE) 2007 is to develop systems able to decide if t...
International audienceQuestion answering (QA) aims at retrieving precise information from a large co...
The fifth QA campaign at CLEF, the first having been held in 2006. was characterized by continuity w...
In this paper we describe the system we developed for taking part in monolingual Spanish and English...
International audienceQuestion answering (QA) aims at retrieving precise information from a large co...
Abstract. The recognition of textual entailment is a new generic task in which a system automaticall...