Getting computers to talk like you and me
Getting computers to talk like you and me
Attention, intentions, and the structure of discourse
Computational Linguistics
Analyzing the structure of argumentative discourse
Computational Linguistics
Semantic interpretation and the resolution of ambiguity
Semantic interpretation and the resolution of ambiguity
Aspect, aspectual class, and the temporal structure of narrative
Computational Linguistics - Special issue on tense and aspect
Computational Linguistics - Special issue on user modeling
Computational Linguistics
Recognizing subjective sentences: a computational investigation of narrative text
Recognizing subjective sentences: a computational investigation of narrative text
In-Depth Understanding: A Computer Model of Integrated Processing for Narrative Comprehension
In-Depth Understanding: A Computer Model of Integrated Processing for Narrative Comprehension
Generalized augmented transition network grammars for generation from semantic networks
Computational Linguistics
A pragmatics-based approach to ellipsis resolution
Computational Linguistics
Providing a unified account of definite noun phrases in discourse
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
A computational theory of perspective and reference in narrative
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Communications of the ACM
Enhancing Text Retrieval by Using Advanced Stylistic Techniques
Journal of Intelligent and Robotic Systems
Summarizing scientific articles: experiments with relevance and rhetorical status
Computational Linguistics - Summarization
The rhetorical parsing of unrestricted texts: a surface-based approach
Computational Linguistics
Recognizing subjectivity: a case study in manual tagging
Natural Language Engineering
Development and use of a gold-standard data set for subjectivity classifications
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Computational Linguistics
What's yours and what's mine: determining intellectual attribution in scientific text
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
A corpus study of evaluative and speculative language
SIGDIAL '01 Proceedings of the Second SIGdial Workshop on Discourse and Dialogue - Volume 16
Learning to disambiguate potentially subjective expressions
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums
ACM Transactions on Information Systems (TOIS)
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
A survey on sentiment detection of reviews
Expert Systems with Applications: An International Journal
Sentential structure and discourse parsing
DiscAnnotation '04 Proceedings of the 2004 ACL Workshop on Discourse Annotation
Get out the vote: determining support or opposition from congressional floor-debate transcripts
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Recognizing contextual polarity: An exploration of features for phrase-level sentiment analysis
Computational Linguistics
Opinion Mining on Newspaper Quotations
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Generating high-coverage semantic orientation lexicons from overtly marked words and a thesaurus
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Participant subjectivity and involvement as a basis for discourse segmentation
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Detection and interpretation of opinion expressions in spoken surveys
IEEE Transactions on Audio, Speech, and Language Processing
Automatic generation of computeranimation: using AI for movie animation
Automatic generation of computeranimation: using AI for movie animation
A survey on the role of negation in sentiment analysis
NeSp-NLP '10 Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Cross-Domain Contextualization of Sentiment Lexicons
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
EmotiBlog: a finer-grained and more precise learning of subjectivity expression models
LAW IV '10 Proceedings of the Fourth Linguistic Annotation Workshop
Identification of rhetorical roles for segmentation and summarization of a legal judgment
Artificial Intelligence and Law
Aspect-based sentiment analysis of movie reviews on discussion boards
Journal of Information Science
A vector space model for subjectivity classification in Urdu aided by co-training
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Implicit feature identification via co-occurrence association rule mining
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Subjectivity and sentiment analysis of modern standard Arabic
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Subjectivity and sentiment annotation of modern standard Arabic newswire
LAW V '11 Proceedings of the 5th Linguistic Annotation Workshop
Sentimatrix: multilingual sentiment analysis service
WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
Semantic approaches to fine and coarse-grained feature-based opinion mining
NLDB'09 Proceedings of the 14th international conference on Applications of Natural Language to Information Systems
Modality and negation: An introduction to the special issue
Computational Linguistics
Sentimental Spidering: Leveraging Opinion Information in Focused Crawlers
ACM Transactions on Information Systems (TOIS)
EmoTales: creating a corpus of folk tales with emotional annotations
Language Resources and Evaluation
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Third-person fictional narrative text is composed not only of passages that objectively narrate events, but also of passages that present characters' thoughts, perceptions, and inner states. Such passages take a character's psychological point of view. A language understander must determine the current psychological point of view in order to distinguish the beliefs of the characters from the facts of the story, to correctly attribute beliefs and other attitudes to their sources, and to understand the discourse relations among sentences. Tracking the psychological point of view is not a trivial problem, because many sentences are not explicitly marked for point of view, and whether the point of view of a sentence is objective or that of a character (and if the latter, which character it is) often depends on the context in which the sentence appears. Tracking the psychological point of view is the problem addressed in this work. The approach is to seek, by extensive examinations of naturally occurring narrative, regularities in the ways that authors manipulate point of view, and to develop an algorithm that tracks point of view on the basis of the regularities found. This paper presents this algorithm, gives demonstrations of an implemented system, and describes the results of some preliminary empirical studies, which lend support to the algorithm.