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Invited Talk: The Computational Linguistics of Conversation Modeling Q&A - Amanda Stent ...
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Post-specialisation: Retrofitting vectors of words unseen in lexical resources
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Discriminating between lexico-semantic relations with the specialization tensor model
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Finding common ground: towards a surface realisation shared task
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In: Belz, Anya, White, Mike, van Genabith, Josef orcid:0000-0003-1322-7944 , Hogan, Deirdre and Stent, Amanda (2010) Finding common ground: towards a surface realisation shared task. In: INLG 2010 - 6th International Natural Language Generation Conference, 7-9 July 2010, Trim, Co. Meath, Ireland. (2010)
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Abstract:
In many areas of NLP reuse of utility tools such as parsers and POS taggers is now common, but this is still rare in NLG. The subfield of surface realisation has perhaps come closest, but at present we still lack a basis on which different surface realisers could be compared, chiefly because of the wide variety of different input representations used by different realisers. This paper outlines an idea for a shared task in surface realisation, where inputs are provided in a common-ground representation formalism which participants map to the types of input required by their system. These inputs are derived from existing annotated corpora developed for language analysis (parsing etc.). Outputs (realisations) are evaluated by automatic comparison against the human-authored text in the corpora as well as by human assessors.
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Keyword:
Machine translating
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URL: http://doras.dcu.ie/15981/
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Finding common ground: towards a surface realisation shared task
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A Preliminary Model of Centering in Dialog
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In: DTIC AND NTIS (1998)
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