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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 58 1 Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals ... Wu, Te-Lin; Spangher, Alex; Alipoormolabashi, Pegah. - : arXiv, 2021 BASE Show details 2 OntoNotes Release 5.0 Weischedel, Ralph; Palmer, Martha; Marcus, Mitchell. - : Linguistic Data Consortium, 2013. : https://www.ldc.upenn.edu, 2013 BASE Show details 3 OntoNotes Release 5.0 ... Weischedel, Ralph; Palmer, Martha; Marcus, Mitchell. - : Linguistic Data Consortium, 2013 BASE Show details 4 OntoNotes Release 4.0 Weischedel, Ralph; Palmer, Martha; Marcus, Mitchell. - : Linguistic Data Consortium, 2011. : https://www.ldc.upenn.edu, 2011 BASE Show details 5 OntoNotes Release 4.0 ... Weischedel, Ralph; Palmer, Martha; Marcus, Mitchell. - : Linguistic Data Consortium, 2011 BASE Show details 6 OntoNotes Release 3.0 Weischedel, Ralph; Pradhan, Sameer; Ramshaw, Lance. - : Linguistic Data Consortium, 2009. : https://www.ldc.upenn.edu, 2009 BASE Show details 7 OntoNotes Release 3.0 ... Weischedel, Ralph; Pradhan, Sameer; Ramshaw, Lance. - : Linguistic Data Consortium, 2009 BASE Show details 8 OntoNotes Release 2.0 Weischedel, Ralph; Pradhan, Sameer; Ramshaw, Lance. - : Linguistic Data Consortium, 2008. : https://www.ldc.upenn.edu, 2008 BASE Show details 9 OntoNotes Release 2.0 ... Weischedel, Ralph; Pradhan, Sameer; Ramshaw, Lance. - : Linguistic Data Consortium, 2008 BASE Show details 10 OntoNotes Release 1.0 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. : https://www.ldc.upenn.edu, 2007 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 corpus comprising various genres of text (news, conversational telephone speech, weblogs, use net, broadcast, talk shows) in three languages (English, Chinese, and Arabic) with structural information (syntax and predicate argument structure) and shallow semantics (word sense linked to an ontology and coreference). OntoNotes builds on two time-tested resources, following the Penn Treebank for syntax and the Penn PropBank for predicate-argument structure. Its semantic representation will include word sense disambiguation for nouns and verbs, with each word sense connected to an ontology, and coreference. The current goals call for annotation of over a million words each of English and Chinese, and half a million words of Arabic over five years. The authors wish to make this resource available to the natural language research community so that decoders for these phenomena can be trained to generate the same structure in new documents. Lessons learned over the years have shown that the quality of annotation is crucial if it is going to be used for training machine learning algorithms. Taking this cue, we ensure that each layer of annotation in OntoNotes will have at least 90% inter- annotator agreement. Our pilot studies have shown that predicate structure, word sense, ontology linking, and coreference can all be annotated rapidly and with better than 90% consistency. *Samples* The following screen captures provide examples of the data contained in this corpus. * English tree. * English sense predicate structure. * Chinese tree and sense predicate structure. *Sponsorship* This work was suppported in part by the Defense Research Advanced Projects Agency, GALE Program Grant No. HR0011-06-C-0022. The content of this publication does not necessarily reflect the position or policy of the Government, and no official endorsement should be inferred. ; Discourse type: narrative Keyword: computational linguistics URL: https://catalog.ldc.upenn.edu/LDC2007T21 BASE Hide details 11 OntoNotes Release 1.0 ... Weischedel, Ralph; Pradhan, Sameer; Ramshaw, Lance. - : Linguistic Data Consortium, 2007 BASE Show details 12 BBN Pronoun Coreference and Entity Type Corpus Weischedel, Ralph; Brunstein, Ada. - : Linguistic Data Consortium, 2005. : https://www.ldc.upenn.edu, 2005 BASE Show details 13 BBN Pronoun Coreference and Entity Type Corpus ... Weischedel, Ralph; Brunstein, Ada. - : Linguistic Data Consortium, 2005 BASE Show details 14 Extracting Dynamic Evidence Networks Weischedel, Ralph In: DTIC AND NTIS (2004) BASE Show details 15 Challenges in Information Retrieval and Language Modeling Aslam, Jay; Belkin, Nichols; Buckley, Chris... In: R. Manmatha (2003) BASE Show details 16 Challenges in Information Retrieval and Language Modeling Aslam, Jay; Belkin, Nichols; Buckley, Chris... In: Andrew McCallum (2003) BASE Show details 17 TREC-9 Cross-Lingual Retrieval at BBN Xu, Jinxi; Weischedel, Ralph In: DTIC (2000) BASE Show details 18 Algorithms That Learn to Extract Information BBN: Description of the Sift System as Used for MUC-7 Miller, Scott; Crystal, Michael; Fox, Heidi... In: DTIC (1998) BASE Show details 19 Challenges in Natural Language Processing Hovy, Eduard; Bates, Madeleine; Weischedel, Ralph M In: Computational linguistics. - Cambridge, Mass. : MIT Press 21 (1995) 1, 120-123 OLC Linguistik Show details 20 BBN: Description of the PLUM System as Used for MUC-6 Weischedel, Ralph; Ayuso, Damaris; Bikel, Daniel... In: DTIC (1995) BASE Show details Page: 1 2 3

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