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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 Hits 1 – 13 of 13 1 SlinkET: A partial modal parser for events Roser Saurí; Marc Verhagen; James Pustejovsky In: http://www.timeml.org/site/tarsqi/modules/slinket/lrec06_slinket.pdf (2006) BASE Show details 2 Classification of discourse coherence relations: An exploratory study using multiple knowledge sources Ben Wellner; James Pustejovsky; Catherine Havasi... In: http://acl.ldc.upenn.edu/W/W06/W06-1317.pdf (2006) BASE Show details 3 SlinkET: A partial modal parser for events Roser Saurí; Marc Verhagen; James Pustejovsky In: http://www.cs.brandeis.edu/~marc/misc/proceedings/lrec-2006/pdf/716_pdf.pdf (2006) BASE Show details 4 Temporal Information in Intensional Contexts Roser Saurí; Marc Verhagen In: http://www.timeml.org/site/publications/timeMLpubs/rsmv-TimeNet.pdf (2005) BASE Show details 5 Brandeis University James Pustejovsky; Robert Ingria; Roser Saurí... In: http://complingone.georgetown.edu/~linguist/papers/TimeML.pdf (2004) BASE Show details 6 Are You Sure That This Happened? Assessing the Factuality Degree of Events in Text Roser Saurí; James Pustejovsky In: http://www.aclweb.org/anthology-new/J/J12/J12-2002.pdf BASE Show details 7 FBM: Combining lexicon-based ML and heuristics for Social Media Polarities Carlos Rodríguez-penagos; Jordi Atserias; Joan Codina-filbà... In: http://www.aclweb.org/anthology/S/S13/S13-2080.pdf BASE Show details 8 A Factuality Profiler for Eventualities in Text Dissertation Preview Roser Saurí I Colomer In: http://www.cs.brandeis.edu/~jamesp/classes/cs216-2007/factProfiler_sauri.pdf Abstract: Basic tasks of Information Extraction, such as named entity recognition, event extraction, or even semantic role labeling, are at the core of a variety of NLP applications, ranging from those strictly oriented to building lexical resources, to others which require some degree of text understanding, such as Question Answering or Summarization. Current results in those IE tasks suggest that we are close to achieving a stage where the fundamental units for text understanding are put together; namely, predicates and their arguments. However, other layers of information, such as the factuality status of events, are essential as well. Having access to mentions of events in a document is of no use if we do not know whether they refer to situations that happened or hold in the real world. In other words, the inferences derivable from factual eventualities are different from those judged as possible or as non-existent. This dissertation aims at designing and developing a factuality profiler, namely a tool devoted to identifying the factuality degree associated with each eventuality mentioned in text. Such a tool will be grounded on linguistic expressions we as speakers use to signal factuality information; for instance: polarity and modality particles, lexical triggers of non-existential presuppositions, and certain syntactic constructions. In that sense, it will disregard external factors, like event source trustworthiness or reader’s beliefs, and instead it will adopt a neutral position, extracting factuality values assigned to events based on how they are presented in text. We will see that this approach confers a central role to sources. Different sources may introduce divergent, even contradictory, factuality values to the same event. Hence, event factuality degrees is always relative to a source. URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.115.9790 http://www.cs.brandeis.edu/~jamesp/classes/cs216-2007/factProfiler_sauri.pdf BASE Hide details 9 SPAIN: LEXICOGRAPHY IN IBERIAN LANGUAGES Roser Saurí Colomer In: http://www.cs.brandeis.edu/~roser/pubs/ell2_05.pdf BASE Show details 10 Argument structure in TimeML James Pustejovsky; Jessica Littman; Roser Saurí In: http://www.cs.brandeis.edu/~roser/pubs/lrec06_arglink.pdf BASE Show details 11 Argument structure in TimeML James Pustejovsky; Jessica Littman; Roser Saurí In: http://drops.dagstuhl.de/opus/volltexte/2006/449/pdf/05151.PustejovskyJames.Paper.449.pdf BASE Show details 12 17:00 Sustainability of Linguistic Resources Per Anders Jande; James Pustejovsky; Jessica Littman... In: http://www.let.uu.nl/~paola.monachesi/personal/dcoi/docs/monachesi_trapman_2006b.pdf BASE Show details 13 The Representation of Syntactically Unexpressed Complements To Nouns Toni; Toni Badia; Roser Sauri In: http://acl.ldc.upenn.edu/W/W98/W98-0601.pdf BASE Show details

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