Discourse oriented summarization

Bosma, W.E.

doi:10.3990/1.9789036526494

Cited by 2 publications

(1 citation statement)

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“…No doubt, most of the research in the field of IR including QA has been confined to the English language (Kanaan et al 2009). Bosma (2005) showed how the existing answer of a QA system can be improved by exploiting RST-based summarization technique. One of the critical steps in the design of QA systems is the passage retrieval (PR) and ranking module.…”

Section: Related Workmentioning

confidence: 99%

Lemaza: An Arabic why-question answering system

Azmi¹,

AlShenaifi²

2017

Nat. Lang. Eng.

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Question answering systems retrieve information from documents in response to queries. Most of the questions arewho-andwhat-type questions that deal with named entities. A less common and more challenging question to deal with is thewhy-question. In this paper, we introduceLemaza(Arabic forwhy), a system for automatically answeringwhy-questions for Arabic texts. The system is composed of four main components that make use of the Rhetorical Structure Theory. To evaluateLemaza, we prepared a set ofwhy-question–answer pairs whose answer can be found in a corpus that we compiled out of Open Source Arabic Corpora.Lemazaperformed best when the stop-words were not removed. The performance measure was 72.7%, 79.2% and 78.7% for recall, precision andc@1, respectively.

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Section: Related Workmentioning

confidence: 99%