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A dependency perspective on the adequacy of tree local multi-component tree adjoining grammar
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LTAG-spinal and the Treebank: a new resource for incremental, dependency and semantic parsing
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Discourse Indicators for Content Selection in Summaization
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In: Departmental Papers (CIS) (2010)
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Using Entity Features to Classify Implicit Discourse Relations
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In: Departmental Papers (CIS) (2010)
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Abstract:
We report results on predicting the sense of implicit discourse relations between adjacent sentences in text. Our investigation concentrates on the association between discourse relations and properties of the referring expressions that appear in the related sentences. The properties of interest include coreference information, grammatical role, information status and syntactic form of referring expressions. Predicting the sense of implicit discourse relations based on these features is considerably better than a random baseline and several of the most discriminative features conform with linguistic intuitions. However, these features do not perform as well as lexical features traditionally used for sense prediction.
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Keyword:
Computer Sciences
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URL: https://repository.upenn.edu/cgi/viewcontent.cgi?article=1752&context=cis_papers https://repository.upenn.edu/cis_papers/712
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Sense Annotation in the Penn Discourse Treebank
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In: Departmental Papers (CIS) (2008)
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Computational linguistics: A new tool for exploring biopolymer structures and statistical mechanics
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In: Dill, Ken A; Lucas, Adam; Hockenmaier, Julia; Huang, Liang; Chiang, David; & Joshi, Aravind K.(2007). Computational linguistics: A new tool for exploring biopolymer structures and statistical mechanics. Polymer, 48, 4289 - 4300. doi:10.1016/j.polymer.2007.05.018. UC San Francisco: Retrieved from: http://www.escholarship.org/uc/item/235458px (2007)
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Detecting Compositionality of Verb-Object Combinations using Selectional Preferences
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Relative compositionality of multi-word expressions: a study of verb-noun (V-N) collocations
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In: Departmental Papers (CIS) (2005)
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