Bridging the gap between domain-oriented and linguistically-oriented semantics

Uematsu, Sumire; Kim, Jin-Dong; Tsujii, Jun’ichi

doi:10.3115/1572364.1572387

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…Currently, framenet-like resources exist for a few languages, including some domain-specific and multilingual initiatives (Dolbey et al, 2006;Boas, 2009;Uematsu et al, 2009), but are unavailable for most languages, including Swedish, although there have been some pilot studies exploring the semi-automatic acquisition of Swedish frames (Johansson and Nugues, 2006;Borin et al, 2007).…”

Section: Swedish Framenet++mentioning

confidence: 99%

Proceedings of the 240 Conference

Dinner¹,

Berry²,

Rice³

et al. 2014

Advances in Chemical Physics

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Section: Swedish Framenet++mentioning

confidence: 99%

Proceedings of the 240 Conference

Dinner¹,

Berry²,

Rice³

et al. 2014

Advances in Chemical Physics

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“…Its semantic frames are based on 5 protein transport classes from the Hunter Lab protein transport knowledge base. In [4], the GENIA group made an effort to investigate the gap between its domain-specific corpus to FrameNet by associating 4 of GENIA event concepts with the FN semantic frames.…”

Section: Introductionmentioning

confidence: 99%

A study on the relation between linguistics-oriented and domain-specific semantics

Tan

2010

Preprint

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In this paper we dealt with the comparison and linking between lexical resources with domain knowledge provided by ontologies. It is one of the issues for the combination of the Semantic Web Ontologies and Text Mining. We investigated the relations between the linguisticsoriented and domain-specific semantics, by associating the GO biological process concepts to the FrameNet semantic frames. The result shows the gaps between the linguistics-oriented and domain-specific semantics on the classification of events and the grouping of target words. The result provides valuable information for the improvement of domain ontologies supporting for text mining systems. And also, it will result in benefits to language understanding technology.

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“…Currently FrameNet-like resources exist for a few languages, 1 including some domainspecific and multilingual initiatives (Boas 2009;Uematsu et al 2009;Venturi et al 2009), but are unavailable for most languages, including Swedish, except for some pilot studies exploring the semi-automatic acquisition of Swedish frames (Johansson & Nugues 2006;Borin et al 2007). …”

Section: Background and Motivationmentioning

confidence: 99%