Reading list for Intelligent Systems Program Comprehensive Exam
Theresa Wilson
9/7/2005

1. Subjectivity  (391 pages)

1.1 Models of Attitude and Affect in Linguistics and Psychology 

Douglas Douglas and Edward Finegan (1989). Styles of stance in English: Lexical and grammatical marking of evidentiality and affect.  Text 9 (1): 93-124.  pp=32

Wallace Chafe (1986).  Evidentiality in English Conversation and Academic Writing.  In Evidentiality: The Linguistic coding of Epistemology, Wallace Chafe and Johanna Nichols (eds.), pages 261-271.  pp=11

Gerald L. Clore, Andrew Ortony and Mark A. Foss. (1987). The Psychological foundations of the affective lexicon. Journal of Personality and Social Psychology, 53 (4): 751-766.  pp=16

Andrew Ortony, Gerald L. Clore and Mark A. Foss. (1987). The referential structure of the affective lexicon. Cognitive Science, 11: 341-364.  pp=24

P.N. Johnson-Laird and Keith Oatley. (1989). The Language of Emotions: An Analysis of a Semantic Field.  Cognition and Emotion, 3(2): 81-123.  pp=43

J.R. Martin (2001). Beyond Exchange: Appraisal Systems in English.  In Evaluation in Text: Authorial Stance and the Construction of Discourse, Susan Hunsten and Geoff Thompson (eds.).  Oxford University Press, pages 142-175. pp=34

P.R.R. White (2003). Beyond modality and hedging: A diologic view of the language of intersubjective stance. Text 23(2): 259-284.  pp=26 

Rick L. Morgan and David Heise (1988). Structure of Emotions.  Social Psychology Quarterly, 51(1): 19-31.  pp=13

D. Watson and A. Tellegen (1985). Toward a Consensual Structure of Mood.  Psychological Bulletin, 98: 219-235.  pp=17


1.15 Models of Subjectivity 

Janyce Wiebe (1994). Tracking Point of View in Narrative. Computational Linguistics, 20(2): 233-287.  pp=55


1.2 Subjectivity Analysis

C. Anderson and G. McMaster (1982). Computer Assisted Modeling of Affective Tone in Written Documents.  Computer and the Humanities, 16: 1-9.  pp=9

V. Hatzivassiloglou and K. McKeown (1997). Predicting the Semantic Orientation of Adjectives.  Proceedings of the 35th Annual Meeting fo the ACL. Madrid, Spain, pages 174-181.  pp=8

B. Pang, L. Lee, and S. Vaithyanathan (2002). Thumbs up? Sentiment Classification Using Machine Learning Techniques.  Proceedings of EMNLP-2002.  Phuladelphia, Pennsylbania, pages 79-86.  pp=8

Peter Turney (2002).  Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews, pages 417-424.  pp=8

K. Dave, S. Lawrence, and D.M. Pennock (2003). Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews.  Proceedings of the 12th International World Wide Web Conference (WWW2003). Budapest, Hungary.  pp=10

Tetsuya Nasukawa and Jeonghee Yi (2003). Capturing Favorability Using Natural Language Processing. Proceedings of KCAP-03, pages 70-77.  pp=8

P. Turney and M.L. Littman (2003). Measuring Praise and Criticism: Inference of Semantic Orientation from Association.  ACM Transactions on Information Systems (TOTS), 21(4): 315-346.  pp=32

J. Yi, T. Nasukawa, R. Bunescu and W. Niblack. (2003). Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques.  Proceedings of the ICDM, pages 427-434.  pp=8

Hong Yu and Vasileios Hatzivassiloglou. (2003). Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences.  Proceedings of EMNLP, pages 129-136.  pp=8

Minqing Hu and Bing Liu (2004). Mining and Summarizing Customer Reviews. Proceedings of KDD-2004.  pp=6

Soo-Min Kim and Eduard Hovy (2004). Determining the Sentiment of Opinions. Proceedings of Conference on Computational Linguistics (COLING-04). Geneva, Switzerland, pages 1367-1373.   pp=7

Bo Pang and Lillian Lee. (2004). A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts. Proceedings of ACL.  pp=8


2. Natural Language Processing, with a focus on models of discourse structure and coherence  
(299 pages)

Daniel Jurafsky and James H. Martin (2000). Chapter 18: Discourse.  Speech and Language Processing. Prentice Hall, pages 669-713.  pp=45

Daniel Jurafsky and James H. Martin (2000). Chapter 19: Dialogue and Conversational Agents.  Speech and Language Processing. Prentice Hall, pages 719-760.  pp=42

Jerry Hobbs (1979). Coherence and Coreference.  Cognitive Science 3(1), pages 67-90.  pp=24

Barbara Grosz and Candace L. Sidner (1986). Attention, intentions, and the structure of discourse. Computational Linguistics, 12(3), 175-204.   pp=30

W.C. Mann and S.A. Thompson (1986). Rhetorical Structure Theory: Toward a functional theory of text organization. TEXT, 8(3).   pp=20

Lilvia Polanyi (1988). A formal model of the structure of discourse. Journal of Pragmatics, 12:5/6, pages 601-638.   pp=38

E.H. Hovey (1990). Parsimonious and profligate approaches to the question of discourse structure relations.  In Proceedings of the Fifth International Workshop on Natural Language Generation, Dawson, PA, pages 128-136.  pp=9

J.D. Moore and M.E. Pollack. (1993). A Problem for RST: The Need for Multi-Level Discourse Analysis. Computational Linguistics.   pp=13

B. Grosz, A. Joshi, and S. Weinstein (1995). Centering: A framework for modeling the local coherence of discourse. Computational Linguistics 21(2), pages 203-225.  pp=23

Florian Wolf and Edward Gibson (2005). Representing Discourse Coherence: A Corpus-Based Study.  Computational Linguistics, 31(2), pages 249-287.   pp=39

Atefeh Farzindar and Guy Lapalme (2004). Legal Text Summarization by Exploration of the Thematic Structure and Argumentative Roles.  ACL-2004 Workshop, Text Summarization Branches Out.   pp=8

Ben Hachey and Claire Grover (2004).  A Rhetorical Status Classifier for Legat Text Summarisation.  ACL2004 Workshop, Text Summarization Branches Out.  pp=8


3. Machine Learning, with a focus on algorithms commonly used in NLP 
(263 pages)

Avrim Blum and Tom Mitchell (1998). Combining Labeled and Unlabeled Data with Co-Training.  In Proceedings of the 1998 Conference on Computational Learning Theory (COLT).  pp=9

David Cohn, Les Atlas, and Richard Ladner (1994). Improving generalization with Active Learning. Machine Learning, 15:201-221.  pp=21

Tom Mitchell (1997). Chapter 3: Decision Tree Learning. In Machine Learning. McGraw-Hill, Inc. Boston, Ma. pages 52-78.  pp=27

Tom Mitchell (1997). Chapter 6: Bayesian Learning. In Machine Learning. McGraw-Hill, Inc. Boston, Ma. pages 154-199.  pp=46

Tom Mitchell (1997). Chapter 8: Instance-Based Learning. In Machine Learning. McGraw-Hill, Inc. Boston, Ma. pages 230-247.  pp=18

Kamal Nigam, Andrew Kachites McCallum, Sebastian Thrun, and Tom Mitchell (1999).  Text Classification from Labeled and Unlabeled Documents using EM.  Marhine Learning, 93 (2/3): 103-134.  pp=32

Robert E. Schapire and Yoram Singer (2000). BoosTexter: A Boosting-based System for Text Categorization. Machine Learning, 39 (2/3) 135-168.  pp=34

Bernhard Scholkopf (2000). Statistical Learning and Kernel Methods.  Technical Report MSR-TR-2000-23.  Microsoft Research.  pp=29

Fabrizio Sebastiani (2002). Machine Learning in Automated Text Categorization. ACM Computing Surveys, 34(1):1-47.  pp=47