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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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Abstract:
We present analyses aimed at eliciting which specific aspects of discourse provide the strongest indication for text importance. In the context of content selection for single document summarization of news, we examine the benefits of both the graph structure of text provided by discourse relations and the semantic sense of these relations. We find that structure information is the most robust indicator of importance. Semantic sense only provides constraints on content selection but is not indicative of important content by itself. However, sense features complement structure information and lead to improved performance. Further, both types of discourse information prove complementary to non-discourse features. While our results establish the usefulness of discourse features, we also find that lexical overlap provides a simple and cheap alternative to discourse for computing text structure with comparable performance for the task of content selection.
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Keyword:
Computer Sciences
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URL: https://repository.upenn.edu/cgi/viewcontent.cgi?article=1751&context=cis_papers https://repository.upenn.edu/cis_papers/711
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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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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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A constructivist dual-representation model of verb inflection
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Language Processing Research and Technology - New Directions
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In: DTIC AND NTIS (1998)
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Anchoring a Lexicalized Tree-Adjoining Grammar for Discourse ...
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Centering: A Framework for Modelling the Local Coherence of Discourse
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In: DTIC AND NTIS (1995)
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Disambiguation of Super Parts of Speech (or Supertags): Almost Parsing
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In: IRCS Technical Reports Series (1995)
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Some Novel Applications of Explanation-Based Learning to Parsing Lexicalized Tree-Adjoining Grammars
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In: IRCS Technical Reports Series (1995)
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A Processing Model for Free Word Order Languages
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In: IRCS Technical Reports Series (1995)
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