acl acl2011 acl2011-288 acl2011-288-reference knowledge-graph by maker-knowledge-mining

288 acl-2011-Subjective Natural Language Problems: Motivations, Applications, Characterizations, and Implications


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Author: Cecilia Ovesdotter Alm

Abstract: This opinion paper discusses subjective natural language problems in terms of their motivations, applications, characterizations, and implications. It argues that such problems deserve increased attention because of their potential to challenge the status of theoretical understanding, problem-solving methods, and evaluation techniques in computational linguistics. The author supports a more holistic approach to such problems; a view that extends beyond opinion mining or sentiment analysis.


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Abney, Steven and Steven Bird. 2010. The Human Language Project: Building a Universal Corpus of the worlds languages. Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, Uppsala, Sweden, 8897. Alm, Cecilia Ovesdotter. 2009. Affect in Text and Speech. VDM Verlag: Saarbrcken. Alm, Cecilia Ovesdotter. 2010. Characteristics of high agreement affect annotation in text. Proceedings of the LAW IV workshop at the 48th Annual Meeting of the Association for Computational Linguistics, Uppsala, Sweden, 118-122. Alm, Cecilia Ovesdotter. 2008. Affect Dataset. GNU Public License. Alm, Cecilia Ovesdotter and Xavier Llor a´. 2006. Evolving emotional prosody Proceedings of INTERSPEECH 2006 - ICSLP, Ninth International Conference on Spoken Language Processing, Pittsburgh, PA, USA, 1826-1829. Alm, Cecilia Ovesdotter, Nicolas Loeff, and David Forsyth. 2006. Challenges for annotating images for sense disambiguation. Proceedings of the Workshop on Frontiers in Linguistically Annotated Corpora, at the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Sydney, 1-4. Banea, Carmen, Rada Mihalcea, Janyce Wiebe, and Samer Hassan. 2008. Multilingual subjectivity analysis using machine translation. Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 127-135. Bird, Steven. 2009. Last words: Natural language processing and linguistic fieldwork. Journal of Computational Linguistics, 35 (3), 469-474. B ¨uhler, Karl. 1934. Sprachtheorie: Die Darstellungsfunktion der Sprache. Stuttgart: Gustav Fischer Verlag. Forsyth, David, Tamana Berg, Cecilia Ovesdotter Alm, Ali Farhadi, Julia Hockenmaier, Nicolas Loeff, and Gang Wang. Words and pictures: categories, modifiers, depiction, and iconography. In S. J. Dickinson, et al (Eds.). Object Categorization: Computer and Human Vision Perspectives, 167-181 . Cambridge: Cambridge Univ. Press. Francisco, Virginia and Pablo Gerv a´s. 2006. Exploring the compositionality of emotions in text: Word emotions, sentence emotions and automated tagging. AAAI-06 Workshop on Computational Aesthetics: Artificial Intelligence Approaches to Beauty and Happiness. G ´en ´ereux, Michel and Roger Evans. 2006. Distinguishing affective states in weblog posts. AAAI Spring Symposium on Computational Approaches to Analyzing Weblogs, 40-42. Halliday, Michael A. K. 1996. Linguistic function and literary style: An inquiry into the language of William Golding’s The Inheritors. Weber, Jean Jacques (ed). The Stylistics Reader: From Roman Jakobson to the Present. London: Arnold, 56-86. Holzman, Lars E. and William Pottenger. 2003. Classification of emotions in Internet chat: An application of machine learning using speech phonemes. LU-CSE03-002, Lehigh University. Jakobson, Roman. 1996. Closing statement: Linguistics and poetics. Weber, Jean Jacques (ed). The Stylistics Reader: From Roman Jakobson to the Present. London: Arnold, 10-35. Karla, Ankur and Karrie Karahalios. 2005. TextTone: Expressing emotion through text. Interact 2005, 966969. Liu, Bing. 2010. Sentiment analysis and subjectivity. Handbook of Natural Language Processing, second edition. Nitin Indurkhya and Fred J. Damerau (Eds.). Boca Raton: CRC Press, 627-666. Liu, Hugo, Henry Lieberman, and Ted Selker. 2003. A model of textual affect sensing using real-world knowledge International Conference on Intelligent User Interfaces, 125-132. Llor a`, Xavier, Kumara Sastry, David E. Goldberg, Abhimanyu Gupta, and Lalitha Lakshmi. 2005. Combating user fatigue in iGAs: Partial ordering, Support Vector Machines, and synthetic fitness Proceedings of the Genetic and Evolutionary Computation Conference. Llor a`, Xavier, Francesc Al´ ıas, Llu ı´s Formiga, Kumara Sastry and David E. Goldberg. Evaluation consistency in iGAs: User contradictions as cycles in partialordering graphs IlliGAL TR No 2005022, University of Illinois at Urbana-Champaign. 112 Loeff, Nicolas, Cecilia Ovesdotter Alm, and David Forsyth. 2006. Discriminating image senses by clustering with multimodal features. Proceedings of the 21st International Conference on Computational Linguistics and the 44th ACL, Sydney, Australia, 547-554. Lyons, John. 1977. Semantics volumes 1, 2. Cambridge: Cambridge University Press. Mesthrie, Rajend, Joan Swann, Ana Deumert, and William Leap. 2009. Introducing Sociolinguistics, 2nd ed. Amsterdam: John Benjamins. Mihalcea, Rada and Hugo Liu. 2006. A corpus-based approach to finding happiness. AAAI Spring Symposium on Computational Approaches to Analyzing Weblogs, 139-144. Picard, Rosalind W. 1997. Affective Computing. Cambridge, Massachusetts: MIT Press. Sproat, Richard. 2010. Language, Technology, and Society. Oxford: Oxford University Press. T¨ ackstr o¨m, Oscar. 2009. A literature survey of methods for analysis of subjective language. SICS Technical Report T2009:08, ISSN 1100-3154. Wiebe, Janyce, Theresa Wilson, Rebecca Bruce, Matthew Bell, and Melanie Martin. 2004. Learning subjective language. Journal of Computational Linguistics 30 (3), 277-308. Wilson, Theresa, Janyce Wiebe, and Paul Hoffman. 2005. Recognizing contextual polarity in phrase-level sentiment analysis. Proceedings of the Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, 347354. Zaenen, Annie. 2006. Mark-up barking up the wrong tree. Journal of Computational Linguistics 32 (4), 577-580.