This paper describes the work we have been done in the last year on the DIOGENE Question Answering system developed at ITC-Irst. We present two preliminary experiments showing the possibility of integrating into DIOGENE a textual entailment engine based on entailment rules. We addressed the problem proposing both a methodology for acquiring rules from the Web and a matching algorithm for comparing dependency trees derived from the question and from documents. Although the overall results are not high, we consider this year participation at TREC as an intermediate step in view of a more complete and in depth integration of textual entailment rules into the system. We also report about the problems we encountered in maintaining the Web-ba...
This paper presents a new version of the DIOGENE Question Anszering (QA) system developed at ITC-Irs...
Includes bibliographical references (p. 55).Natural Language Processing is a domain of research whic...
This paper presents an automatic question pattern generation method for ontology-based question answ...
This paper describes the work we have been done in the last year on the DIOGENE Question Answering s...
This paper presents the Diogene question/answering system developed at ITC-Irst. The system is based...
This paper describes a new version of the DIOGENE Question Answering (QA) system developed at ITC-Ir...
This paper describes a new version of the DIOGENE Question Answering (QA) system developed at ITC-Ir...
We describe herein a Web based pattern mining and matching approach to question answering. For each ...
This paper presents a new version of the DIOGENE Question Answering (QA) system developed at ITC-Irs...
This paper presents the ITC-irst Multilingual Question Answering system DIOGENE. The system was used...
We present a new dataset and model for textual entailment, derived from treating multiple-choice que...
Abstract. This paper is about our approach to answer validation, which centered by a Recognizing Tex...
We present a system that couples techniques belonging to Information Extraction and deep linguistic ...
This paper addresses question analysis in the framework of Question Answering over structured dat...
Answer validation is the ability to automatically judge the relevance of a candidate answer with res...
This paper presents a new version of the DIOGENE Question Anszering (QA) system developed at ITC-Irs...
Includes bibliographical references (p. 55).Natural Language Processing is a domain of research whic...
This paper presents an automatic question pattern generation method for ontology-based question answ...
This paper describes the work we have been done in the last year on the DIOGENE Question Answering s...
This paper presents the Diogene question/answering system developed at ITC-Irst. The system is based...
This paper describes a new version of the DIOGENE Question Answering (QA) system developed at ITC-Ir...
This paper describes a new version of the DIOGENE Question Answering (QA) system developed at ITC-Ir...
We describe herein a Web based pattern mining and matching approach to question answering. For each ...
This paper presents a new version of the DIOGENE Question Answering (QA) system developed at ITC-Irs...
This paper presents the ITC-irst Multilingual Question Answering system DIOGENE. The system was used...
We present a new dataset and model for textual entailment, derived from treating multiple-choice que...
Abstract. This paper is about our approach to answer validation, which centered by a Recognizing Tex...
We present a system that couples techniques belonging to Information Extraction and deep linguistic ...
This paper addresses question analysis in the framework of Question Answering over structured dat...
Answer validation is the ability to automatically judge the relevance of a candidate answer with res...
This paper presents a new version of the DIOGENE Question Anszering (QA) system developed at ITC-Irs...
Includes bibliographical references (p. 55).Natural Language Processing is a domain of research whic...
This paper presents an automatic question pattern generation method for ontology-based question answ...