Querying linguistic annotations

Sumukh Ghodke; Steven Bird

Querying linguistic annotations

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

Abstract

Over the past decade, a variety of expressive linguistic query languages have been developed. The most scalable of these have been implemented on top of an existing database engine. However, with the arrival of efficient, wide-coverage parsers, it is feasible to parse text on a scale that is several orders of magnitude larger. We show that the existing database approach will not scale up, and speculate on a new approach that leverages proximity search in the context of an IR engine. We also propose a simple syntax for querying linguistic annotations, avoiding the usability problems with existing tree query languages.

Original language	English
Title of host publication	ADCS 2008
Subtitle of host publication	Proceedings of the Thirteenth Australasian Document Computing Symposium
Editors	Rob McArthur, Paul Thomas, Andrew Turpin, Mingfang Wu
Publisher	RMIT University Press
Pages	69-72
Number of pages	4
ISBN (Print)	139781921426216
Publication status	Published - 1 Dec 2008
Externally published	Yes
Event	13th Australasian Document Computing Symposium, ACDS 2008 - Hobart, TAS, Australia Duration: 8 Dec 2008 → 8 Dec 2008

Conference

Conference	13th Australasian Document Computing Symposium, ACDS 2008
Country/Territory	Australia
City	Hobart, TAS
Period	8/12/08 → 8/12/08

Access to Document

http://adcs-conference.org/2008/proceedings/adcs2008-all.pdf#page=75

Cite this

@inproceedings{7329ae2ebd214170ba086fbf91ee6100,

title = "Querying linguistic annotations",

abstract = "Over the past decade, a variety of expressive linguistic query languages have been developed. The most scalable of these have been implemented on top of an existing database engine. However, with the arrival of efficient, wide-coverage parsers, it is feasible to parse text on a scale that is several orders of magnitude larger. We show that the existing database approach will not scale up, and speculate on a new approach that leverages proximity search in the context of an IR engine. We also propose a simple syntax for querying linguistic annotations, avoiding the usability problems with existing tree query languages.",

keywords = "Information retrieval, Natural language techniques and documents, XML document standards",

author = "Sumukh Ghodke and Steven Bird",

year = "2008",

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day = "1",

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isbn = "139781921426216",

pages = "69--72",

editor = "Rob McArthur and Paul Thomas and Andrew Turpin and Mingfang Wu",

booktitle = "ADCS 2008",

publisher = "RMIT University Press",

note = "13th Australasian Document Computing Symposium, ACDS 2008 ; Conference date: 08-12-2008 Through 08-12-2008",

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Ghodke, S & Bird, S 2008, Querying linguistic annotations. in R McArthur, P Thomas, A Turpin & M Wu (eds), ADCS 2008: Proceedings of the Thirteenth Australasian Document Computing Symposium. RMIT University Press, pp. 69-72, 13th Australasian Document Computing Symposium, ACDS 2008, Hobart, TAS, Australia, 8/12/08. <http://adcs-conference.org/2008/proceedings/adcs2008-all.pdf#page=75>

Querying linguistic annotations. / Ghodke, Sumukh; Bird, Steven.
ADCS 2008: Proceedings of the Thirteenth Australasian Document Computing Symposium. ed. / Rob McArthur; Paul Thomas; Andrew Turpin; Mingfang Wu. RMIT University Press, 2008. p. 69-72.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

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AU - Ghodke, Sumukh

AU - Bird, Steven

PY - 2008/12/1

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N2 - Over the past decade, a variety of expressive linguistic query languages have been developed. The most scalable of these have been implemented on top of an existing database engine. However, with the arrival of efficient, wide-coverage parsers, it is feasible to parse text on a scale that is several orders of magnitude larger. We show that the existing database approach will not scale up, and speculate on a new approach that leverages proximity search in the context of an IR engine. We also propose a simple syntax for querying linguistic annotations, avoiding the usability problems with existing tree query languages.

AB - Over the past decade, a variety of expressive linguistic query languages have been developed. The most scalable of these have been implemented on top of an existing database engine. However, with the arrival of efficient, wide-coverage parsers, it is feasible to parse text on a scale that is several orders of magnitude larger. We show that the existing database approach will not scale up, and speculate on a new approach that leverages proximity search in the context of an IR engine. We also propose a simple syntax for querying linguistic annotations, avoiding the usability problems with existing tree query languages.

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KW - Natural language techniques and documents

KW - XML document standards

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M3 - Conference Paper published in Proceedings

AN - SCOPUS:84858384201

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BT - ADCS 2008

A2 - McArthur, Rob

A2 - Thomas, Paul

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T2 - 13th Australasian Document Computing Symposium, ACDS 2008

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ER -

Querying linguistic annotations

Abstract

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