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1
Industry watch
In: Natural language engineering. - Cambridge : Cambridge University Press 13 (2007) 3, 283-286
BLLDB
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2
Industry Watch: Is 2007 the Year of Question-Answering?
In: Natural language engineering. - Cambridge : Cambridge University Press 13 (2007) 1, 91
OLC Linguistik
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3
Handling conjunctions in named entities
In: Lingvisticae investigationes. - Amsterdam : Benjamins 30 (2007) 1, 49-68
BLLDB
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4
Handling conjunctions in named entities
Dale, Robert; Mazur, Pawel. - : Berlin : Springer, 2007
BASE
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5
Handling conjunctions in named entities
Mazur, Pawel; Dale, Robert. - : John Benjamins Publishing Company, 2007
BASE
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6
A supervised machine learning approach to conjunction disambiguation in named entities
Mazur, Pawel; Dale, Robert. - : Hyderabad, India : IJCAI-07 Workshop on Analytics for Noisy Unstructured Text Data (AND-07), 2007
BASE
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7
GLEU : Automatic evaluation of sentence-level fluency
Mutton, Andrew; Dras, Mark; Wan, Stephen. - : Stroudsburg, PA : Association for Computational Linguistics (ACL), 2007
BASE
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8
Global revision in summarisation : generating novel sentences with Prim's algorithm
Wan, Stephen; Dale, Robert; Dras, Mark. - : Melbourne, Australia : Pacific Association for Computational Linguistics, 2007
BASE
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9
The Semantic representation of temporal expressions in text
Dale, Robert; Mazur, Pawel. - : Berlin, 2007. : New York : Springer-Verlag, 2007
Abstract: Temporal expressions—references to points in time or periods of time—are widespread in text, and their proper interpretation is essential for any natural language processing task that requires the extraction of temporal information. Work on the interpretation of temporal expressions in text has generally been pursued in one of two paradigms: the formal semantics approach, where an attempt is made to provide a well-grounded theoretical basis for the interpretation of these expressions, and the more pragmatically-focused approach represented by the development of the TIMEX2 standard, with its origins in work in information extraction. The former emphasises formal elegance and consistency; the latter emphasises broad coverage for practical applications. In this paper, we report on the development of a framework that attempts to integrate insights from both perspectives, with the aim of achieving broad coverage of the domain in a well-grounded manner from a formal perspective. We focus in particular on the development of a compact notation for representing the semantics of underspecified temporal expressions that enables the component-level evaluation of systems. ; 10 page(s)
Keyword: 080100 Artificial Intelligence and Image Processing
URL: http://hdl.handle.net/1959.14/104946
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