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Prosody in a Contrastive Learner Corpus
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In: Automatic treatment and analysis of learner corpus data ; https://hal.archives-ouvertes.fr/hal-01363436 ; ANA Diaz-Negrillo, PAUL Thompson (eds.). Automatic treatment and analysis of learner corpus data, Benjamins, 2013 (2013)
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Categorising modality in biomedical texts
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In: http://personalpages.manchester.ac.uk/staff/paul.thompson/papers/LREC_modality_2008_final.pdf (2008)
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Event frame extraction based on a gene regulation corpus
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In: http://www.aclweb.org/anthology/C/C08/C08-1096.pdf (2008)
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Utterance Planning in an Agent-based Dialogue System
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In: http://personalpages.manchester.ac.uk/staff/paul.thompson/papers/INLGPaper.pdf (2004)
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AthosMail - a Multilingual Adaptive Spoken Dialogue System for E-mail Domain
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In: http://www.sics.se/dumas/publications/AthosMail_Overview.pdf (2004)
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Submitted for the degree of PhD School of Linguistics and Applied Language Studies
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In: http://www.paulslals.org.uk/thesis.pdf (2001)
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Looking at citations: Using corpora in English for academic purposes
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In: http://llt.msu.edu/vol5num3/pdf/thompson.pdf (2001)
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Meta-knowledge annotation at the event level: comparison between abstracts and full papers
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In: http://www.nactem.ac.uk/papers/Nawaz_BioTxtM_2012.pdf
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Abstract:
Abstract Biomedical literature contains rich information about events of biological relevance. Event corpora, containing classified, structured representations of important facts and findings contained within text, provide an important resource for the training of domain-specific information extraction (IE) systems. Such corpora pay little attention to the interpretation of events, e.g., whether an event describes a fact or an analysis of results, whether there is any speculation surrounding the event, etc. These types of information are collectively referred to as meta-knowledge. As previous work, an annotation scheme to enrich event corpora with meta-knowledge was designed to facilitate the training of more sophisticated IE systems, and was applied to the complete GENIA Event corpus of biomedical abstracts. In this paper, we describe a case study in which four full papers annotated with GENIA events have been manually enriched with meta-knowledge annotation. We analyse the annotation results, and compare them with the previously annotated abstracts.
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1052.9708 http://www.nactem.ac.uk/papers/Nawaz_BioTxtM_2012.pdf
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Ananiadou S. Identification of manner in bio-events
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/818_Paper.pdf
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Semantic Interoperability and Lexicon Development
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In: http://www.ists.dartmouth.edu/library/80.pdf
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Multilingual Discourse Processing
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In: http://www.sics.se/dumas/workshop/SE1-cd/2.pdf
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RESEARCH ARTICLE The BioLexicon: a large-scale terminological resource for biomedical text mining Open Access
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In: ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/04/e4/BMC_Bioinformatics_2011_Oct_12_12_397.tar.gz
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Promoting Interoperability of Resources in META-SHARE
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In: http://www.aclweb.org/anthology-new/W/W11/W11-3307.pdf
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Ananiadou S: Evaluating a meta-knowledge annotation scheme for bioevents
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In: http://www.aclweb.org/anthology-new/W/W10/W10-3112.pdf
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RESEARCH ARTICLE The BioLexicon: a large-scale terminological resource for biomedical text mining Open Access
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In: http://www.biomedcentral.com/content/pdf/1471-2105-12-397.pdf
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Towards a Better Understanding of Discourse: Integrating Multiple Discourse Annotation Perspectives Using UIMA
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In: http://wing.comp.nus.edu.sg/~antho/W/W13/W13-2310.pdf
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Biomedical Chinese-English CLIR Using an Extended CMeSH Resource to Expand Queries
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/316_Paper.pdf
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M ARGUELLO et al: ENABLING REASONING ON THE WEB Enabling Reasoning on the Web: Performing Simulations of Clinical Situations
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In: http://ijssst.info/Vol-10/No-2/paper5.pdf
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Predicting the Risk of Suicide by Analyzing the Text of Clinical Notes
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