Question Answering (QA) is a task that deserves more collaboration between Natural Language Processing (NLP) and Knowledge Representation (KR) communities, not only to introduce r...
This report is about our participation in the Answer Validation Exercise (AVE2008). Our system casts the AVE task into a Recognizing Textual Entailment (RTE) problem and uses an ex...
The Answer Validation Exercise (AVE) 2006 is aimed at evaluating systems able to decide whether the responses of a Question Answering (QA) system are correct or not. Since most of ...
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...
This paper presents our bilingual question-answering system MUSCLEF. We underline the difficulties encountered when shifting from a mono to a cross-lingual system, then we focus o...
This year, besides providing support to other groups participating in cross-language Question Answering (QA) tasks, and submitting runs both for the monolingual Italian and the cr...
The objective of the Answer Validation Exercise (AVE) 2007 is to develop systems able to decide if the answer to a question is correct or not. Since it is expected that a high per...
The fifth QA campaign at CLEF, the first having been held in 2006. was characterized by continuity with the past and at the same time by innovation. In fact, topics were introduce...
This paper is about our approach to answer validation, which centered by a Recognizing Textual Entailment (RTE) core engine. We first combined the question and the answer into Hypo...