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Date: 2006
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/101616
Description: Current text-based question answering (QA) systems usually contain a named entity recogniser (NER) as a core component. Named entity recognition has traditionally been developed as a component for inf ... More
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Date: 2006
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/111368
Description: Relevance feedback has already proven its usefulness in probabilistic information retrieval (IR). In this research we explore whether a pseudo relevance feedback technique on IR can improve the Questi ... More
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Date: 2006
Language: eng
Resource Type: book chapter
Identifier: http://hdl.handle.net/1959.14/14606
Description: This paper describes Macquarie University’s Centre for Language Technology contribution to the PASCAL 2005 Recognizing Textual Entailment challenge. Our main aim was to test the practicability of a pu ... More
Date: 2005
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/111611
Description: AnswerFinder combines lexical, syntactic, and semantic information in various stages of the question answering process. The candidate sentences are preselected on the basis of (i) the presence of name ... More
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Date: 2005
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/111596
Description: In this article we will introduce a new approach (and several implementations) to the task of sentence classification, where pre-defined classes are assigned to sentences. This approach concentrates o ... More
Reviewed: Reviewed
Date: 2005
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/111726
Description: AnswerFinder is a framework for the development of question-answering systems. AnswerFinder is currently being used to test the applicability of graph representations for the detection and extraction ... More
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Date: 2005
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/111806
Description: In this article we introduce a new approach (and several implementations) to the task of question classification. The approach extracts structural information using machine learning techniques and the ... More
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Date: 2004
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/27750
Description: We present a question answering system that combines information at the lexical, syntactic, and semantic levels, in the process to find and rank the candidate answer sentences. The candidate exact ans ... More
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Authors: Mollá, Diego
Date: 2004
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/112049
Description: In this our first participation in TREC we have focused on the passage task of the question answering track. The main aim of our participation was to test the impact of various types of linguistic inf ... More
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Authors: Mollá, Diego
Date: 2004
Language: spa
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/36908
Description: Current question answering systems typically combine methods based in information retrieval and information extraction. Such methods leverage the speed of the resulting algorithms and the presence of ... More
Reviewed: Reviewed
Date: 2004
Language: eng
Resource Type: book chapter
Identifier: http://hdl.handle.net/1959.14/18394
Description: In this chapter we will first explore (in section 2) the peculiarities of technical documentation. The central role that terminology plays in technical domains (parallel to the role of named entities ... More
Date: 2003
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/118574
Description: The true power of anaphora resolution algorithms can only be gauged when embedded into specific Natural Language Processing (NLP) applications. In this paper we describe the anaphora resolution module ... More
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Date: 2003
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/29103
Description: We present a Question Answering system for technical domains which makes an intelligent use of paraphrases to increase the likelihood of finding the answer to the user's question. The system implement ... More
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Date: 2003
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/36620
Description: Describes the ExtrAns answer-extraction system which uses logical forms and lexical relations for semantic representation, to delve into and leverage the meaning of sentences, phrases, and words.
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Date: 2003
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/111131
Description: A wide range of parser and/or grammar evaluation methods have been reported in the literature. However, in most cases these evaluations take the parsers independently (intrinsic evaluations), and only ... More
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