By Shanahan J.G., Qu Y., Wiebe J.
Human Language know-how (HLT) and ordinary Language Processing (NLP) structures have generally excited about the "factual" element of content material research. different facets, together with pragmatics, opinion, and magnificence, have got less cognizance. notwithstanding, to accomplish an enough figuring out of a textual content, those elements can't be ignored.The chapters during this publication handle angle, impact, and subjective opinion. a variety of conceptual versions and computational tools are awarded, together with distinguishing attitudes from easy real assertions; distinguishing among the authors reviews from studies of different peoples critiques; and distinguishing among explicitly and implicitly acknowledged attitudes. additionally, many functions are defined that promise to learn from the facility to appreciate attitudes and have an effect on, reminiscent of indexing and retrieval of records through opinion; computerized query answering approximately evaluations; research of sentiment within the media and in chat groups; reading buyer discourse in treatment and counseling; making a choice on family members among medical texts; producing extra applicable texts; and developing writers aids. as well as English texts, the gathering comprises reviews of French, eastern, and Portuguese texts.The chapters during this e-book are prolonged and revised models of papers offered on the American organization for man made Intelligence (AAAI) Spring Symposium on Exploring angle and impact in textual content, which happened in March 2004 at Stanford college. The symposium, and the booklet which grew out it, represents a primary foray into this sector and a stability between conceptual types, computational equipment, and purposes.
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Extra info for Computing Attitude and Affect in Text: Theory and Applications
1988) An architecture for anaphora resolution. Proceedings of the Second Conference on Applied Natural Language Processing (ANLP-2), 18-24. , and Wiebe, J. (2003) Learning Extraction Patterns for Subjective Expressions. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP03), 105-112. Sahlgren, M. (2002) Towards a Flexible Model of Word Meaning. In Karlgren, J. ) Papers from Acquiring (and Using) Linguistic (and World) Knowledge for Information Access, AAAI Spring Symposium 2002, Technical Report SS-02-09.
Extension to Other Attribution Reported speech is an important issue in its own right, but it can moreover serve as a model for attribution in different registers, as well. Reported speech is a culturally determined vehicle for evidential annotation of hearsay. It requires at least a description of the source and the minimal pragmatic characterization of the speech act (encoded in the reporting verb). This then is a minimal requirement for all attribution in this cultural context and we can see it borne out in email and chat groups, where the sender is always identified (at least by their email aliases) and the “speech act” is implicit in the vehicle (email).
2001) From Words to Understanding. , Kanerva, P. & Asoh, H. ): Foundations of Real-World Intelligence, 294-308, Stanford: CSLI Publications. Karttunen, L. (1969) Discourse Referents. Proceedings of the Third International Conference on Computational Linguistics (COLING). International Committee on Computational Linguistics and KVAL research group on quantitative linguistics. , and LuperFoy, S. (1988) An architecture for anaphora resolution. Proceedings of the Second Conference on Applied Natural Language Processing (ANLP-2), 18-24.