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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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Abstract:
We propose an abstraction-based multi-document summarization framework that can construct new sentences by exploring more fine-grained syntactic units than sentences, namely, noun/verb phrases. Different from existing abstraction-based approaches, our method first constructs a pool of concepts and facts represented by phrases from the input documents. Then new sentences are generated by selecting and merging informative phrases to maximize the salience of phrases and meanwhile satisfy the sentence construction constraints. We employ integer linear optimization for conducting phrase selection and merging simultaneously in order to achieve the global optimal solution for a summary. Experimental results on the benchmark data set TAC 2011 show that our framework outperforms the state-of-the-art models under automated pyramid evaluation metric, and achieves reasonably well results on manual linguistic quality evaluation. ... : 11 pages, 1 figure, accepted as a full paper at ACL 2015 ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1506.01597 https://arxiv.org/abs/1506.01597
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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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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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