Abstract. The aim of Recognising Textual Entailment (RTE) is to determine whether the meaning of a text entails the meaning of another text named hypothesis. RTE systems can be applied to validate the answers of Question Answering (QA) systems. Once the answer to a question is given by the QA system, a hypothesis is built turning the question plus the answer into an affirmative form. If the text (a given document) entails this hypothesis, then the answer is expected to be correct. Thus, a RTE system becomes an Answer Validation system. Within this framework the first problem is to find collections for training and testing RTE systems. We present here the SPARTE corpus aimed at evaluating RTE systems in Spanish. The paper presents the method...
This work describes an inference mechanism applied to AliQAn Question Answering System for Spanish i...
Abstract. Question Answering has become a promising research field whose aim is to provide more natu...
Abstract: The increasing amount of subjective data on the Web is creating the need to develop effect...
Abstract. This paper is about our approach to answer validation, which centered by a Recognizing Tex...
The Answer Validation Exercise (AVE) is a pilot track within the Cross-Language Evaluation Forum (CL...
This paper introduces the new INAOE’s answer validation method. This method is based on supervised l...
The Answer Validation Exercise at the Cross Language Evaluation Forum is aimed at developing systems...
In this paper we describe the system we developed for taking part in monolingual Spanish and English...
The first Answer Validation Exercise (AVE) has been launched at the Cross Language Evaluation Forum ...
Abstract. The recognition of textual entailment is a new generic task in which a system automaticall...
Recognizing Textual Entailment (RTE) was proposed as a unified evaluation framework to compare seman...
While semantic inference has always been a major focus in Computational Linguistics, the topic has b...
This paper describes the system developed by the Language Technologies Lab at INAOE for the Spanish ...
Abstract. The system utilizes a Recognizing Textual Entailment (RTE) approach. The system uses the q...
We address two issues related to the devel- opment of systems for Recognizing Textual Entailment. Th...
This work describes an inference mechanism applied to AliQAn Question Answering System for Spanish i...
Abstract. Question Answering has become a promising research field whose aim is to provide more natu...
Abstract: The increasing amount of subjective data on the Web is creating the need to develop effect...
Abstract. This paper is about our approach to answer validation, which centered by a Recognizing Tex...
The Answer Validation Exercise (AVE) is a pilot track within the Cross-Language Evaluation Forum (CL...
This paper introduces the new INAOE’s answer validation method. This method is based on supervised l...
The Answer Validation Exercise at the Cross Language Evaluation Forum is aimed at developing systems...
In this paper we describe the system we developed for taking part in monolingual Spanish and English...
The first Answer Validation Exercise (AVE) has been launched at the Cross Language Evaluation Forum ...
Abstract. The recognition of textual entailment is a new generic task in which a system automaticall...
Recognizing Textual Entailment (RTE) was proposed as a unified evaluation framework to compare seman...
While semantic inference has always been a major focus in Computational Linguistics, the topic has b...
This paper describes the system developed by the Language Technologies Lab at INAOE for the Spanish ...
Abstract. The system utilizes a Recognizing Textual Entailment (RTE) approach. The system uses the q...
We address two issues related to the devel- opment of systems for Recognizing Textual Entailment. Th...
This work describes an inference mechanism applied to AliQAn Question Answering System for Spanish i...
Abstract. Question Answering has become a promising research field whose aim is to provide more natu...
Abstract: The increasing amount of subjective data on the Web is creating the need to develop effect...