The role of context in question answering systems

Lin, Jimmy; Quan, Dennis; Sinha, Vineet; Bakshi, Karun; Huynh, David; Katz, Boris; Karger, David R.

doi:10.1145/766117.766119

Cited by 42 publications

(47 citation statements)

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“…Some QA systems are text based, meaning that the answer to the question posed by the user, will be a fragment of a text. By using this approach, a system becomes intricately related to other information access techniques such as "document retrieval", in which entire documents are retrieved, and "passage retrieval" in which chunks of text are returned [8] as answers. Even though, this does not offer much more than a web search engine such as Google, Yahoo, etc.…”

Section: Related Workmentioning

confidence: 99%

A QA System for learning Python

Ramos¹,

Pereira²,

Henriques³

2017

Annals of Computer Science and Information Systems

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Abstract-This article proposes a Question Answering System that can automatically answer to questions presented in a natural language about the Python programming language. A system of this kind aims at the interaction with a human. Since it is natural for a human to communicate in a natural language, such as Portuguese or English, there is a need for systems that can respond to the user in the same language. When restricted to a closed or specific knowledge domain, these systems can offer satisfiable answers to the posed questions. So, it is expected that the proposed QA System can present reasonable answers to questions about Python. After surveying this emergent working area, that is growing every day, we will present the design and implementation of a Python QA system in order to prove that it is possible to adopt a systematic approach to construct this kind of systems.

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Section: Related Workmentioning

confidence: 99%

A QA System for learning Python

Ramos¹,

Pereira²,

Henriques³

2017

Annals of Computer Science and Information Systems

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“…Lin [11] conducted a user study to investigate the effective interface design in the QA area and discovered that users prefer paragraph-sized chunks of text as the answer to their questions and the reliability of source is important. The user required much context to accept an answer from a less trustworthy source than from a more trustworthy one and accepted nearly 98% of the answers for trusted sources.…”

Section: Web Open Knowledge Resourcesmentioning

confidence: 99%

What Kind of Answers in Web Open Knowledge Resources: for Quiz Questions in Education

Oh¹,

Kim²

2015

IJUNESST

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“…Cross-language retrieval interfaces often require support for user querying and document analysis (Hansen & Karlgren, 2005), whereas question answering will require support for contextualizing the typically short answers given by such a system (Lin, Quan, Sinha, Bakshi, Huynh, Katz, et al, 2003). These specialized systems contribute to both research themes-automating search processes by developing systems to help searchers perform specific tasks and improving interaction by developing novel interfaces for such tasks.…”

Section: Task-specific Supportmentioning

confidence: 99%

Interactive information retrieval

Ruthven

2008

Annual Review Info Sci & Tec

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The role of context in question answering systems

Cited by 42 publications

References 0 publications

A QA System for learning Python

A QA System for learning Python

What Kind of Answers in Web Open Knowledge Resources: for Quiz Questions in Education

Interactive information retrieval

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