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Adapting a General Semantic Interpretation Approach to Biological Event Extraction

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by Halil Kilicoglu , Sabine Bergler
Citations:13 - 2 self
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Citations

1099 Rhetorical structure theory: Toward a functional theory of text organization. - Mann, Thompson - 1987 (Show Context)

Citation Context

...sitions (embedding them). In turn, embedding and atomic propositions act as arguments for discourse relations1 . Our main 1 Discourse relations, also referred to as coherence or rhetorical relations (=-=Mann and Thompson, 1988-=-), are not relevant to the shared task and, thus, we will not discuss them further in motivation in casting the problem of discourse interpretation in this structural manner is two-fold: a) to explore...

653 Generating typed dependency parses from phrase structure parses - Marneffe, MacCartney, et al. - 2006
522 Coarseto-fine n-best parsing and maxent discriminative reranking. - Charniak, Johnson - 2005
206 Mood an Modality. - Palmer - 1986
127 Corpus annotation for mining biomedical events from literature. - Kim, Ohta, et al. - 2008 (Show Context)

Citation Context

...cks. Our results demonstrate that such a general approach is viable and pinpoint some of its shortcomings. 1 Introduction In the past two years, largely due to the availability of GENIA event corpus (=-=Kim et al., 2008-=-) and the resulting shared task competition (BioNLP’09 Shared Task on Event Extraction (Kim et al., 2009)), event extraction in biological domain has been attracting greater attention. One of the crit...

81 An open source tool for automatically tagging genes, proteins, and other entity names in text - ABNER - 2005
46 Recognizing speculative language in biomedical research articles: A linguistically motivated perspective - Kilicoglu, Bergler - 2008 (Show Context)

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...tries from the embedding dictionary ing heuristics involving the event types associated with the trigger2 . Some polarity values were assigned manually. Some strength values were based on prior work (=-=Kilicoglu and Bergler, 2008-=-), others were manually assigned. As Table (2) shows, in some cases, the semantic type (e.g., DEMONSTRATIVE, CAUSAL) is simply a mapping to the embedding categorization. In other cases, such as weakly...

39 Self-training for biomedical parsing. - McClosky, Charniak - 2008 (Show Context)

Citation Context

...of the document. To obtain syntactic dependency relations, we segment documents into sentences, parse them using the re-ranking parser of Charniak and Johnson (2005) adapted to the biomedical domain (=-=McClosky and Charniak, 2008-=-) and extract syntactic 2 For example, if the most likely event type associated with the trigger is Negative regulation, its polarity is considered negative. 3 Note, however, that not all embedding pr...

38 Overview of Genia Event Task in BioNLP Shared Task - Kim, Wang, et al. - 2011
35 Syntactic dependency based heuristics for biological event extraction,” - Kilicoglu, Bergler - 2009 (Show Context)

Citation Context

...logical object or adjunct). Constraints on and exclusions from a rule can be defined, as shown in Table (3). We currently use about 80 such rules, mostly adapted from our previous shared task system (=-=Kilicoglu and Bergler, 2009-=-). After all the descendants of a non-leaf node are recursively processed for arguments, a semantic proposition can be composed. We define a semantic proposition as consisting of a trigger, a collecti...

24 The structural and content aspects of abstracts versus bodies of full text journal articles are different. - Cohen, Johnson, et al. - 2010
14 Jun’ichi Tsujii. 2011a. Overview of BioNLP Shared Task 2011 - Kim, Pyysalo, et al.
9 Discourse verbs and discourse periphrastic links - Danlos - 2006 (Show Context)

Citation Context

...propositions, providing a discourse/pragmatic function. It is characterized by permeation of a limited set of discourse relations to the clausal level, often signalled lexically by “discourse verbs” (=-=Danlos, 2006-=-) (e.g., cause, mediate, lead, correlate), their nominal forms or other abstract nouns, such as role. We categorize the RELATIONAL class into CAUSAL, TEMPORAL, CORRELATIVE, COMPARATIVE, and SALIENCY t...

5 BioNLP Shared Task 2011 - Bacteria Gene Interactions and Renaming - Jourde, Manine, et al. - 2011
5 of the Entity Relations (REL) supporting task of BioNLP Shared Task 2011 - Overview
4 Bessières, Marteen van de Guchte, and Claire Nédellec. 2011. BioNLP Shared Task 2011 - Bacteria Biotope - Bossy, Jourde, et al.
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