• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher:
    
    • Diab, Mona (6)
    • Rambow, Owen (6)
    • Dorr, Bonnie (4)
    • Levin, Lori (4)
    • Bloodgood, Michael (2)
    • Habash, Nizar (2)
    • Mitamura, Teruko (2)
    • Passonneau, Rebecca (2)
    • Prabhakaran, Vinodkumar (2)
    • Ramshaw, Lance (2)
    •   more
  • 
    Year
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access

Search in the Catalogues and Directories

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 Hits 1 – 6 of 6 1 Statistical modality tagging from rule-based annotations and crowdsourcing ... Prabhakaran, Vinodkumar; Bloodgood, Michael; Diab, Mona. - : arXiv, 2015 BASE Show details 2 LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual ... Diab, Mona; Habash, Nizar; Rambow, Owen. - : arXiv, 2013 BASE Show details 3 Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing Prabhakaran, Vinodkumar; Bloodgood, Michael; Diab, Mona. - : Association for Computational Linguistics, 2012 BASE Show details 4 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 5 Language Understanding Annotation Corpus ... Diab, Mona; Dorr, Bonnie; Levin, Lori. - : Linguistic Data Consortium, 2009 BASE Show details 6 Parsing Arabic dialects Chiang, David; Diab, Mona; Habash, Nizar... In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 11 (2006), 369-376 BLLDB Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 1 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 5 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0