tailieunhanh - Báo cáo khoa học: "Splitting Complex Temporal Questions for Question Answering systems"

This paper presents a multi-layered Question Answering (.) architecture suitable for enhancing current . capabilities with the possibility of processing complex questions. That is, questions whose answer needs to be gathered from pieces of factual information scattered in different documents. Specifically, we have designed a layer oriented to process the different types of temporal questions. | Splitting Complex Temporal Questions for Question Answering systems E. Saquete P. Martinez-Barco R. Munoz . Vicedo Grupo de investigacion del Procesamiento del Lenguaje y Sistemas de Informacion. Departamento de Lenguajes y Sistemas Informaticos. Universidad de Alicante. Alicante Spain stela patricio rafael vicedo @ Abstract This paper presents a multi-layered Question Answering . architecture suitable for enhancing current . capabilities with the possibility of processing complex questions. That is questions whose answer needs to be gathered from pieces of factual information scattered in different documents. Specifically we have designed a layer oriented to process the different types of temporal questions. Complex temporal questions are first decomposed into simpler ones according to the temporal relationships expressed in the original question. In the same way the answers of each simple question are re-composed fulfilling the temporal restrictions of the original complex question. Using this architecture a Temporal . system has been developed. In this paper we focus on explaining the first part of the process the decomposition of the complex questions. Furthermore it has been evaluated with the TERQAS question corpus of 112 temporal questions. For the task of question splitting our system has performed in terms of precision and recall 85 and 71 respectively. 1 Introduction Question Answering could be defined as the process of computer-answering to precise or arbitrary questions formulated by users. . systems are especially useful to obtain a specific piece of information without the need of manually going through all the available documentation related to the topic. Research in Question Answering mainly focuses on the treatment offactual questions. These require as an answer very specific items of data such as dates names of entities or quantities . What is the capital of Brazil . This paper has been supported by the Spanish .