The Answer Validation Exercise (AVE) 2006 is aimed at developing systems able to decide whether the answer of a Question Answering (QA) system is correct or not using textual entailment. The most answers to be validated are given from questions that need entities as responses. The paper presents a system that has only used entities to participate in the AVE 2006. The results of the propose system are better than the ones of a baseline system that always accepts all answers, therefore the use of entities can improve the results of an answer validation system
This paper introduces the new INAOE’s answer validation method. This method is based on supervised l...
Abstract. Nowadays there exist several kinds of question answering systems. According to recent eval...
The amount and the quality of the available information on the web make it an interesting resource f...
The objective of the Answer Validation Exercise (AVE) 2007 is to develop systems able to decide if t...
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...
Abstract. This paper is about our approach to answer validation, which centered by a Recognizing Tex...
Question answering (QA) aims at retrieving precise information from a large collection of documents....
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...
Current text-based question answering (QA) systems usually contain a named entity recogniser (NER) a...
Named Entity Recognisers (NERs) are typically used by question answering (QA) systems as means to pr...
Answer Validation is a topic of significant interest within the Question Answering community. In thi...
Answer Validation is an emerging topic in Question Answering, where open domain systems are often re...
Answer Validation is an emerging topic in Question Anszering, where open domain systems are often re...
This paper introduces the new INAOE’s answer validation method. This method is based on supervised l...
Abstract. Nowadays there exist several kinds of question answering systems. According to recent eval...
The amount and the quality of the available information on the web make it an interesting resource f...
The objective of the Answer Validation Exercise (AVE) 2007 is to develop systems able to decide if t...
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...
Abstract. This paper is about our approach to answer validation, which centered by a Recognizing Tex...
Question answering (QA) aims at retrieving precise information from a large collection of documents....
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...
Current text-based question answering (QA) systems usually contain a named entity recogniser (NER) a...
Named Entity Recognisers (NERs) are typically used by question answering (QA) systems as means to pr...
Answer Validation is a topic of significant interest within the Question Answering community. In thi...
Answer Validation is an emerging topic in Question Answering, where open domain systems are often re...
Answer Validation is an emerging topic in Question Anszering, where open domain systems are often re...
This paper introduces the new INAOE’s answer validation method. This method is based on supervised l...
Abstract. Nowadays there exist several kinds of question answering systems. According to recent eval...
The amount and the quality of the available information on the web make it an interesting resource f...