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ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences ...
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OmniGraph: Rich Representation and Graph Kernel Learning ...
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Abstractive Multi-Document Summarization via Phrase Selection and Merging ...
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Selecting and Categorizing Textual Descriptions of Images in the Context of an Image Indexer's Toolkit
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Applying Reliability Metrics to Co-Reference Annotation ...
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Building a Rich Large-scale Lexical Base for Generation ...
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Abstract:
Most large lexical resources have been developed with language interpretation in mind and can not be used directly for generation. we present a rich large-scale lexical base for generation, constructed by merging various linguistic resources. Our approach meets the needs of language generation systems by providing the facilities for mapping from semantic concepts to verb/sense pairs, for identifying the valid subcategorization forms for a given verb sense, and for representing alternations for paraphrasing power. Information from different resources enriches and constrains each other, so the final result is complete as well as accurate. We show by example how this lexical base can be integrated into a generation package and how it simplifies development process while improving system performance. ...
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Keyword:
Computer science
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URL: https://academiccommons.columbia.edu/doi/10.7916/D8W3844M https://dx.doi.org/10.7916/d8w3844m
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Computational and conversational discourse : burning issues - an interdisciplinary account ; [proceedings of the NATO Advanded Research Workshop on Burning Issues in Discourse, held in Maratea, Italy, April 13 - 15, 1993]
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BLLDB
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UB Frankfurt Linguistik
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Combining Multiple Knowledge Sources for Discourse Segmentation ...
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