Affective computing
A model of textual affect sensing using real-world knowledge
Proceedings of the 8th international conference on Intelligent user interfaces
Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Computational Linguistics
Recognizing contextual polarity in phrase-level sentiment analysis
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Mark-up Barking Up the Wrong Tree
Computational Linguistics
Discriminating image senses by clustering with multimodal features
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Multilingual subjectivity analysis using machine translation
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Natural language processing and linguistic fieldwork
Computational Linguistics
Challenges for annotating images for sense disambiguation
LAC '06 Proceedings of the Workshop on Frontiers in Linguistically Annotated Corpora 2006
The human language project: building a Universal Corpus of the world's languages
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Characteristics of high agreement affect annotation in text
LAW IV '10 Proceedings of the Fourth Linguistic Annotation Workshop
TextTone: expressing emotion through text
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Grammatical structures for word-level sentiment detection
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Linking uncertainty in physicians' narratives to diagnostic correctness
ExProM '12 Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics
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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.