Splitting complex temporal questions for question answering systems

Saquete, Estela; Martínez-Barco, Patricio; Muñoz, Rafael; Maté, Alejandro

doi:10.3115/1218955.1219027

Cited by 44 publications

(29 citation statements)

References 3 publications

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“…Previous work has already faced up to this problem [6], [7]. Temporal questions can be classified into 2 main categories according to the role of temporality in their resolution: Temporally Restricted (TR) questions are those containing some time restriction: "What resolution was adopted by the Council on 10 October 1994?…”

Section: Temporal Managementmentioning

confidence: 99%

Are Passages Enough? The MIRACLE Team Participation in QA@CLEF2009

Vicente-Díez

Pablo-Sánchez

Martı́nez

et al. 2010

Lecture Notes in Computer Science

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This paper summarizes the participation of the MIRACLE team in the Multilingual Question Answering Track at CLEF 2009. In this campaign, we took part in the monolingual Spanish task at ResPubliQA and submitted two runs. We have adapted our QA system to the new JRC-Acquis collection and the legal domain. We tested the use of answer filtering and ranking techniques against a baseline system using passage retrieval with no success. The run using question analysis and passage retrieval obtained a global accuracy of 0.33, while the addition of an answer filtering resulted in 0.29. We provide an analy-sis of the results for different questions types to investigate why it is difficult to leverage previous QA techniques. Another task of our work has been the appli-cation of temporal management to QA. Finally we include some discussion of the problems found with the new collection and the complexities of the domain.

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Section: Temporal Managementmentioning

confidence: 99%

Are Passages Enough? The MIRACLE Team Participation in QA@CLEF2009

Vicente-Díez

Pablo-Sánchez

Martı́nez

et al. 2010

Lecture Notes in Computer Science

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“…One previous proposed a prominent work, find structured content over text [33]. [34] proposed the integration of web document and myriad structured information about real word object embedded in static web and online web database. It said that hybrid approach, using both structured and unstructured feature gave the best result on object information retrieval.…”

Section: Algorithm Of Finding Structured-unstructured Featuresmentioning

confidence: 99%

Finding Structured and Unstructured Features to Improve the Search Result of Complex Question

Wardani¹

2012

Jurnal Sistem Informasi

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The current researches on question answer usually achieve the answer only from unstructured text resources such as collection of news or pages. According to our observation from Yahoo!Answer, users sometimes ask in complex natural language questions which contain structured and unstructured features. Generally, answering the complex questions needs to consider not only unstructured but also structured resource. In this work, researcher propose a new idea to improve accuracy of the answers of complex questions by recognizing the structured and unstructured features of questions and them in the web. Our framework consists of three parts: Question Analysis, Resource Discovery, and Analysis of The Relevant Answer. In Question Analysis researcher used a few assumptions and tried to find structured and unstructured features of the questions. In the resource discovery researcher integrated structured data (relational database) and unstructured data (web page) to take the advantage of two kinds of data to improve and to get the correct answers. We can find the best top fragments from context of the relevant web pages in the Relevant Answer part and then researcher made a score matching between the result from structured data and unstructured data, then finally researcher used QA template to reformulate the questions.

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“…Some of the applications in which event ordering is useful are for example: Summarization, Question Answering, etc. In particular, we have developed a method to apply Event Ordering to Temporal Question Answering [17].…”

Section: Application Of Event Ordering In Nlp Tasksmentioning

confidence: 99%

Event Ordering Using TERSEO System

Saquete

Muñoz

Martínez-Barco

2004

Natural Language Processing and Information Systems

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In this paper, a method of event ordering based on temporal information resolution is presented. This method consists of two main steps: on the one hand, the recognition and resolution of the temporal expressions that can be transformed on a date, and therefore these dates establish an order between the events that contain them. On the other hand, the detection of temporal signals, for example after, that can not be transformed on a concrete date but relate two events in a chronological way. This event ordering method can be applied to Natural Language Processing systems, for example: Summarization, Question Answering, etc. It is important to emphasize that the event ordering method is based on a multilingual temporal information resolution system. Moreover, this multilinguality has been automatically obtained from a monolingual system (Spanish). The evaluation of the multilingual system is also shown in this paper, achieving a precision of 88% for Spanish and 77% for English.

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Splitting complex temporal questions for question answering systems

Cited by 44 publications

References 3 publications

Are Passages Enough? The MIRACLE Team Participation in QA@CLEF2009

Are Passages Enough? The MIRACLE Team Participation in QA@CLEF2009

Finding Structured and Unstructured Features to Improve the Search Result of Complex Question

Event Ordering Using TERSEO System

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