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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 Hits 1 – 20 of 24 1 Multilingual Event Linking to Wikidata ... Pratapa, Adithya; Gupta, Rishubh; Mitamura, Teruko. - : arXiv, 2022 BASE Show details 2 Cross-document Event Identity via Dense Annotation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hasegawa, Kimihiro; Li, Linwei. - : Underline Science Inc., 2021 BASE Show details 3 An Efficient Interlingua Translation System for Multi-lingual Document Production ... Mitamura, Teruko; Nyberg, Eric; Carbonell, Jaime G.. - : Figshare, 2018 BASE Show details 4 Interlingual annotation of parallel text corpora: a new framework for annotation and evaluation Siddharthan, Advaith; Habash, Nizar; Passonneau, Rebecca J.... In: Natural language engineering. - Cambridge : Cambridge University Press 16 (2010) 3, 197-243 BLLDB OLC Linguistik Show details 5 Probabilistic Answer Ranking Models for Multilingual QA: Independent Prediction Model and Joint Prediction Model Ko, Jeongwoo; Si, Luo; Nyberg, Eric... In: Cyber Center Publications (2010) BASE Show details 6 Language Understanding Annotation Corpus Diab, Mona; Dorr, Bonnie; Levin, Lori; Mitamura, Teruko; Passonneau, Rebecca; Rambow, Owen; Ramshaw, Lance. - : Linguistic Data Consortium, 2009. : https://www.ldc.upenn.edu, 2009 Abstract: *Introduction* The Language Understanding Annotation Corpus emerged from a series of interdisciplinary meetings on semantics and pragmatics hosted by the Human Language Technology Center of Excellence at Johns Hopkins University. The participants were researchers from Raytheon BBN Technologies, Carnegie Mellon University and Columbia University who were developing representations of text semantics, machine translation and summarization systems. The resulting corpus contains over 9000 words of English text (6949 words) and Arabic text (2183 words) annotated for committed belief, event and entity coreference, dialog acts and temporal relations. The source materials were chosen from various genres to represent "informal input," that is, text that contains colloquial forms. The documents in the corpus include excerpts from newswire stories, telephone conversation transcripts, emails, contracts and written instructions. The problem was modeled as an extended exercise in extracting information elements from a "document" (that is, from discrete language records in written or spoken forms). The goal was to answer two broad questions: * What are the elements of knowledge that can be derived from a document? * Can the representation, and hence, the annotation, be laid out in terms of iterative layers, the accumulation of which would represent the sum of the knowledge? The annotations attempted to resolve these questions in the following ways: * Belief/Opinion/Confidence. Committed belief annotation distinguishes between statements which assert belief or opinion, those which contain speculation, and statements which convey facts or otherwise do not convey belief. The goal is to be able to determine automatically from a given text what beliefs can be ascribed to the author and with what strength the author holds those beliefs. * Dialog Acts. Dialog act annotation seeks to determine the forward and backward links between pairs of dialog acts. * Coreference (entities and events). Event coreferences indicate which events are related to other events at the document level. Entity relations within these related events provide further information about e.g., the main actors, targets and causes of the events. * Temporal relations. Temporal annotations mark the temporal relationship between the different events and time anchors mentioned in a document, that is, it highlights what the text is saying about the time line of time-mentions. URL: https://catalog.ldc.upenn.edu/LDC2009T10 BASE Hide details 7 The KANT Machine Translation System: From R&D to Initial Deployment ... Nyberg, Eric; Mitamura, Teruko; Carbonell, Jaime G.. - : Carnegie Mellon University, 2009 BASE Show details 8 The KANT Machine Translation System: From R&D to Initial Deployment ... Nyberg, Eric; Mitamura, Teruko; Carbonell, Jaime G.. - : Carnegie Mellon University, 2009 BASE Show details 9 An Efficient Interlingua Translation System for Multi-lingual Document Production ... Mitamura, Teruko; Nyberg, Eric; Carbonell, Jaime G.. - : Carnegie Mellon University, 2009 BASE Show details 10 An Efficient Interlingua Translation System for Multi-lingual Document Production ... Mitamura, Teruko; Nyberg, Eric; Carbonell, Jaime G.. - : Carnegie Mellon University, 2009 BASE Show details 11 Language Understanding Annotation Corpus ... Diab, Mona; Dorr, Bonnie; Levin, Lori. - : Linguistic Data Consortium, 2009 BASE Show details 12 Automated Corpus Analysis and the Acquisition of Large, Multi-Lingual Knowledge Bases for MT ... Mitamura, Teruko; Nyberg, Eric; Carbonell, Jaime G.. - : Carnegie Mellon University, 2008 BASE Show details 13 Automated Corpus Analysis and the Acquisition of Large, Multi-Lingual Knowledge Bases for MT ... Mitamura, Teruko; Nyberg, Eric; Carbonell, Jaime G.. - : Carnegie Mellon University, 2008 BASE Show details 14 Interlingual Annotation of Multilingual Text Corpora Farwell, David; Helmreich, Stephen; Reeder, Florence. - : Workshop on Frontiers in Corpus Annotation, NAACL/HLT 2004, 2004 BASE Show details 15 Interlingual Annotation of Multilingual Text Corpora ... Farwell, David; Helmreich, Stephen; Reeder, Florence. - : Columbia University, 2004 BASE Show details 16 The KANT Machine Translation System: From R&D to Initial Deployment ... Nyberg, Eric; Mitamura, Teruko; Carbonell, Jaime G.. - : Carnegie Mellon University, 1997 BASE Show details 17 The KANT Machine Translation System: From R&D to Initial Deployment ... Nyberg, Eric; Mitamura, Teruko; Carbonell, Jaime G.. - : Carnegie Mellon University, 1997 BASE Show details 18 Acquisition of large lexicons for practical knowledge-based MT Lonsdale, Deryle; Mitamura, Teruko; Nyberg, Eric In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 9 (1994-1995) 3-4, 251-283 BLLDB Show details 19 Acquisition of Large Lexicons for Practical Knowledge-Based MT Lonsdale, Deryle; Mitamura, Teruko; Nyberg, Eric In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 9 (1994) 3-4, 251-284 OLC Linguistik Show details 20 Automated Corpus Analysis and the Acquisition of Large, Multi-Lingual Knowledge Bases for MT ... Mitamura, Teruko; Nyberg, Eric; Carbonell, Jaime G.. - : Carnegie Mellon University, 1993 BASE Show details Page: 1 2

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