Matching Verb Attributes for Cross-Document Event Co-reference
Tomadaki, Eleftheria and Salway, Andrew (2005) Matching Verb Attributes for Cross-Document Event Co-reference Procs. Interdisciplinary Workshop on the Identification and Representation of Verb Features and Verb Classes. pp. 127-132.
Collateral texts of different genre can describe the same filmed story, e.g. audio description and plot summaries. We deal with the challenge of cross-document coreference for events by matching verb attributes. Cross document coreference is the task of deciding whether two linguistic descriptions from different sources refer to the same event. This is important for reliable information integration, as well as generating richer machine-executable representations of multimedia material in retrieval and browsing systems. Corpora of audio description and plot summaries were analysed to investigate how they describe the same film events. This analysis shows that events are described by different verbs in the two corpora and has inspired the algorithms for cross-document event coreference, which match verb attributes, rather than verbs themselves. The preliminary evaluation was encouraging, showing a significantly better performance than the baseline algorithm.
|Divisions :||Faculty of Engineering and Physical Sciences > Computing Science|
|Date :||28 February 2005|
|Additional Information :||Tomadaki, E. & Salway, A. (2005), ‘Matching verb attributes for cross-document event co-reference’, in Erk, Melinger and Schulte im Walde (eds.) Procs. Interdisciplinary Workshop on the Identification and Representation of Verb Features and Verb Classes, pp. 127-132. Click here for a complete list of Andrew Salway's publications.|
|Depositing User :||Mr Adam Field|
|Date Deposited :||27 May 2010 14:09|
|Last Modified :||23 Sep 2013 18:28|
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