Ress of New York; 1988. Kilicoglu H, Bergler S: Adapting a General
Ress of New York; 1988. Kilicoglu H, Bergler S: Adapting a General Semantic Interpretation Approach to Biological Event Extraction. Proceedings of BioNLP Shared Task 2011 Workshop Portland, Oregon, USA: Association for Computational Linguistics; 2011, 173-182. Palmer FR: Mood and modality Cambridge, UK: Cambridge University Press; 2001. Saur?R: A Factuality Profiler for Eventualities in Text. PhD thesis Brandeis University; 2008. Baker K, Bloodgood M, Dorr B, Filardo NW, Levin L, Piatko C: A Modality Lexicon and its use in Automatic Tagging. Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC’10) 2010. Kilicoglu H, Bergler S: Syntactic dependency based heuristics for biological event extraction. Proceedings of Natural Language Processing in Biomedicine (BioNLP) NAACL 2009 Workshop 2009, 119-127. Kilicoglu H, Bergler S: Effective Bio-Event Extraction using Trigger Words and Syntactic Dependencies. Computational Intelligence 2011, 27(4):583-609. Nirenburg S, Raskin V: Ontological Semantics Cambridge, MA: The MIT Press; 2004. Lyons J: Semantics Cambridge, UK: Cambridge University Press; 1977. Power R: Abstract verbs. Proceedings of the Eleventh European Workshop on Natural Language Generation 2007, 93-96. Mann WC, Thompson SA: Rhetorical Structure Theory: Toward a functional theory of text organization. Text 1988, 8(3):243-281. Miltsakaki E, Prasad R, Joshi A, Webber B: The Penn Discourse TreeBank. Proceedings of Language Resources and Evaluation Conference 2004. Danlos L: “Discourse verbs” and discourse periphrastic links. In Second Workshop on Constraints in Discourse (CID06) Sidner C, Harpur J, Benz A, K nlein P 2006, 59-65. Polanyi L, Zaenen A: Contextual valence shifters. In Computing Attitude and Affect in Text: Theories and Applications. Volume 20.. 1 edition. Springer; Shanahan JG, Qu Y, Wiebe J 2006:1-10. Kennedy A, Inkpen D: Sentiment Classification of Movie Reviews Using Contextual Valence Shifters. Computational Intelligence 2006, 22(2):110-125. Andreevskaia A, Bergler S, Urseanu M: All Blogs are Not Made Equal: Exploring Genre Differences in Sentiment Tagging of Blogs. Proceedings30. 31.32.33.34.35.36.37.38. 39.40.41.42. 43.44.45.46.47.48.of the International Conference on Weblogs and Social Media (ICWSM-2007) 2007. Fellbaum C: WordNet: an electronic lexical database Cambridge, MA: MIT Press; 1998. McCray AT, Srinivasan S, Browne AC: Lexical methods for managing variation in biomedical terminologies. Proc 18th Annual Symposium on Computer Applications in Medical Care 1994, 235-239[http://www.ncbi.nlm. nih.gov/pubmed/7949926]. Wilson T, Wiebe J, Hoffmann P: Recognizing Contextual Polarity in BX795 web PhraseLevel Sentiment Analysis. Proceedings of the Human Language PubMed ID:https://www.ncbi.nlm.nih.gov/pubmed/27321907 Technologies Conference/Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP-2005) 2005, 347-354. Kilicoglu H, Bergler S: Recognizing speculative language in biomedical research articles: a linguistically motivated perspective. BMC Bioinformatics 2008, 9(Suppl 11):s10[http://www.ncbi.nlm.nih.gov/pubmed/ 19025686]. Charniak E, Johnson M: Coarse-to-fine n-best parsing and maxent discriminative reranking. Proceedings of the 43rd Meeting of the Association for Computational Linguistics 2005, 173-180. McClosky D, Charniak E: Self-training for biomedical parsing. Proceedings of the 46th Meeting of the Association for Computational Linguistics 2008, 101-104. de Marneffe MC, MacCartney B, Manning CD: Generating typed dep.