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Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals ...
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OntoNotes Release 1.0 ...
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Weischedel, Ralph; Pradhan, Sameer; Ramshaw, Lance; Micciulla, Linnea; Palmer, Martha; Xue, Nianwen; Marcus, Mitchell; Taylor, Ann; Babko-Malaya, Olga; Hovy, Eduard; Belvin, Robert; Houston, Ann. - : Linguistic Data Consortium, 2007
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Abstract:
Introduction Natural language applications like machine translation, question answering, and summarization currently are forced to depend on impoverished text models like bags of words or n-grams, while the decisions that they are making ought to be based on the meanings of those words in context. That lack of semantics causes problems throughout the applications. Misinterpreting the meaning of an ambiguous word results in failing to extract data, incorrect alignments for translation, and ambiguous language models. Incorrect coreference resolution results in missed information (because a connection is not made) or incorrectly conflated information (due to false connections). Some richer semantic representation is badly needed. The OntoNotes project is a collaborative effort between BBN Technologies, the University of Colorado, the University of Pennsylvania, and the University of Southern California's Information Sciences Institute to produce such a resource. It aims to annotate a large ...
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URL: https://dx.doi.org/10.35111/2qq3-xx06 https://catalog.ldc.upenn.edu/LDC2007T21
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Extracting Dynamic Evidence Networks
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In: DTIC AND NTIS (2004)
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Challenges in Information Retrieval and Language Modeling
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In: R. Manmatha (2003)
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Challenges in Information Retrieval and Language Modeling
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In: Andrew McCallum (2003)
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Algorithms That Learn to Extract Information BBN: Description of the Sift System as Used for MUC-7
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In: DTIC (1998)
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BBN: Description of the PLUM System as Used for MUC-6
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In: DTIC (1995)
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