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| Research
by Topic, and Data |
| (Click here to access invited
talks, as well as, lists of conference, journal, and workshop publications.) |
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| Emotion
Analysis |
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Key words: Plutchik emotions, emotion
lexicon, mechanical turk, crowd sourcing, semantic orientation lexicon,
colors of emotions. |
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Lexicon: Please email saif.mohammad@nrc-cnrc.gc.ca
to obtain a copy of the NRC word-emotion association lexicon.
The lexicon has human annotations of emotion associations for more than
24,200 word senses (about 14,200 word types). The annotations include whether
the target is positive or negative, and whether the target has associations
with eight basic emotions (joy, sadness, anger, fear, surprise, anticipation,
trust, disgust). The lexicon is described in the papers below. |
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Papers: |
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Crowdsourcing a Word-Emotion Association
Lexicon, Saif Mohammad and Peter Turney, To Appear in Computational
Intelligence, Wiley Blackwell Publishing Ltd. |
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Paper
(pdf)
BibTeX |
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Tracking Sentiment in Mail: How Genders
Differ on Emotional Axes, Saif Mohammad and Tony Yang, In Proceedings of
the ACL 2011 Workshop on ACL 2011 Workshop on Computational Approaches to
Subjectivity and Sentiment Analysis (WASSA), June 2011, Portland, OR. |
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Paper
(pdf) BibTeX
Presentation |
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Download: |
1. Collections
of love letters, hate mail, and suicide notes. |
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2. A mapping
of directory names in the Enron email corpus to email ids and to gender. |
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From Once Upon a Time to Happily Ever After:
Tracking Emotions in Novels and Fairy Tales, Saif Mohammad, In Proceedings
of the ACL 2011 Workshop on Language Technology for Cultural Heritage, Social
Sciences, and Humanities (LaTeCH), June 2011, Portland, OR. |
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Paper
(pdf) BibTeX
Presentation |
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Associations of Words with Emotion, Polarity,
and Colour: Crowdsoursing a Lexicon, Saif Mohammad and Peter Turney, Technical
Report, National Research Council Canada, Ottawa, Canada. |
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Paper
(pdf)
BibTeX |
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"Emotions Evoked by Common Words and
Phrases: Using Mechanical Turk to Create an Emotion Lexicon", Saif
Mohammad and Peter Turney,
In Proceedings of the NAACL-HLT 2010 Workshop on Computational
Approaches to Analysis and Generation of Emotion in Text,
June 2010, LA, California. |
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Abstract
Paper (pdf)
Presentation |
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Invited
Talk: From Once Upon a Time to Happily Ever After: Tracking
Emotions in Books and Mail. |
- July 2011: Amazon, Social Media group and Digital Books group, Seattle,
OR.
- June 2011: Social Media - "Big Data" Analysis Workshop,
Defence R&D Canada, Ottawa, Canada..
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Automatically
Generating a Semantic Orientation Lexicon |
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Key words: semantic orientation lexicon,
polarity, subjectivity, marking theory, affix patterns, word senses, thesaurus. |
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Download: Access the Macquarie Semantic Orientation
Lexicon (MSOL) here. It is described
in the EMNLP-09 paper listed below. The paper describes a few different
MSOL variants; the one available here for download is MSOL(ASL and GI).
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"Generating High-Coverage Semantic Orientation Lexicons
From Overtly Marked Words and a Thesaurus", Saif Mohammad,
Bonnie Dorr, and Cody Dunne, In Proceedings of the Conference
on Empirical Methods in Natural Language Processing (EMNLP-2009),
August 2009, Singapore. |
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Abstract
Paper (pdf)
Presentation |
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Computing
Word-Colour Associations |
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Key words: words, colour, meaning, crowdsourcing,
Mechanical Turk, Berlin and Kay. |
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Lexicon: Please email saif.mohammad@nrc-cnrc.gc.ca
to obtain a copy of the NRC word-colour association lexicon. The lexicon
has human annotations of colours associated with more than 24,200 word senses
(about 14,200 word types). The lexicon is described in the papers below.
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Colourful Language: Measuring Word-Colour Associations, Saif
Mohammad, In Proceedings of the ACL 2011 Workshop on Cognitive Modeling
and Computational Linguistics (CMCL), June 2011, Portland, OR. |
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Paper
(pdf) BibTeX
Presentation |
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Even the Abstract have Colour: Consensus in WordColour Associations,
Saif Mohammad, In Proceedings of the 49th Annual Meeting of the Association
for Computational Linguistics: Human Language Technologies, June 2011, Portland,
OR. |
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Paper
(pdf) BibTeX
Poster |
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Computing
Semantic Distance |
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Key words: semantic distance (semantic relatedness
and semantic similarity), distributional similarity, cross-lingual semantic
distance, word senses, thesaurus. |
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"Measuring Semantic Distance using Distributional Profiles
of Concepts", Saif Mohammad and Graeme Hirst. Submitted. |
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Abstract
Paper (pdf) |
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"Estimating semantic distance using soft semantic constraints
in knowledge-source–corpus hybrid models", Yuval Marton,
Saif Mohammad, and Philip Resnik, In Proceedings of
the Conference on Empirical Methods in Natural Language Processing
(EMNLP-2009), August 2009, Singapore. |
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Abstract
Paper (pdf) Presentation |
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"Measuring Semantic Distance using Distributional Profiles
of Concepts", Saif Mohammad, Ph.D. thesis, University of
Toronto, January 2008, Toronto, Canada. |
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Abstract
Paper (pdf)
Presentation
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"Cross-lingual distributional profiles of concepts for
measuring semantic distance", Saif Mohammad, Iryna
Gurevych, Graeme Hirst, and Torsten
Zesch, In Proceedings of the Joint Conference on
Empirical Methods in Natural Language Processing and Computational
Natural Language Learning (EMNLP/CoNLL-2007), June 2007,
Prague, Czech Republic. |
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Abstract
Paper (ps)
Paper (pdf)
Presentation |
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"Distributional Measures as Proxies
for Semantic Distance: A Survey", Saif Mohammad
and Graeme Hirst. |
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"Distributional Measures as Proxies
for Semantic Relatedness", Saif Mohammad and Graeme
Hirst. |
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"Distributional measures of concept-distance: A task-oriented
evaluation", Saif Mohammad and Graeme Hirst, In
Proceedings of the Conference on Empirical Methods in Natural Language Processing
(EMNLP-2006), July 2006, Sydney, Australia. |
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Abstract
Paper (ps)
Paper (pdf)
Presentation |
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Computing
Lexical Contrast |
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Key words: antonyms, opposites, contrast,
distributional similarity, affix patterns, word senses, thesaurus. |
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Download: |
1. List of about 3.5 million
antonym pairs identified from contrasting adjacent thesaurus categories. |
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2. List of about 3.2 million
antonym pairs identified using affix patterns and the thesaurus structure. |
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3. Total set of 6.3
million antonym pairs obtained by combining 1 and 2, and removing duplicates. |
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4. Set of 1269 closest-to-opposite questions created for WordNet opposites:
adjectives,
adverbs,
nouns,
verbs
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5. Set of 162 closest-to-opposite
questions from GRE preparatory website 1: development set. |
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6. Set of 950 closest-to-opposite
questions from GRE preparatory website 2: test set. |
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7. Questionnaires for determining information about kinds of opposites:
adjectives,
adverbs,
nouns,
verbs |
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8. Responses to crowdsourced questionnaires: adjectives,
adverbs,
nouns,
verbs |
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9. Set of 209 adjacent categories
in the Macquarie Thesaurus that were manually determined to be contrasting. |
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10. Set of 1358 WordNet opposites
used to test the co-occurrence and the distributional hypotheses. |
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11. Set of 1358 WordNet synonyms
used to test the co-occurrence and the distributional hypotheses. |
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12. Set of 1358 WordNet random
word pairs used to test the co-occurrence and the distributional hypotheses. |
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13. Set of 15 affix rules
that tend to generate opposites. |
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"Computing Word-Pair Antonymy",
Saif Mohammad, Bonnie
Dorr , and Graeme Hirst, In Proceedings of the Conference
on Empirical Methods in Natural Language Processing and Computational
Natural Language Learning (EMNLP-2008), October 2008,
Waikiki, Hawaii. |
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Abstract
Paper (pdf) Presentation |
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"Towards Antonymy-Aware Natural Language Applications",
Saif Mohammad, Bonnie Dorr, and Graeme Hirst. Proceedings
of the Symposium on Semantic Knowledge Discovery, Organization and Use
(SKDOU-2008), November 2008, New York, NY. |
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Paper (pdf)
Poster |
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Word
Sense Disambiguation and Word Sense Dominance |
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"Distributional profiles of concepts
for Unsupervised Word Sense Disambigution", Saif Mohammad,
Graeme Hirst, and Philip
Resnik, In Proceedings of the Fourth International Workshop
on the Evaluation of Systems for the Semantic Analysis of Text (SemEval-07),
June 2007, Prague, Czech Republic. |
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"Determining Word Sense Dominance Using a Thesaurus",
Saif Mohammad and Graeme
Hirst, In Proceedings of the 11th conference of the European
chapter of the Association for Computational Linguistics (EACL-2006),
April 2006, Trento, Italy. |
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Abstract
Paper (ps) Paper
(pdf) Presentation
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"Combining Lexical and Syntactic Features
for Supervised Word Sense Disambiguation", Saif Mohammad
and Ted Pedersen, In Proceedings of the Conference on Computational
Natural Language Learning (CoNLL-2004), May, 2004, Boston, MA. |
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"Complementarity of Lexical and Simple
Syntactic Features: The SyntaLex Approach to Senseval-3", Saif
Mohammad and Ted Pedersen, In Proceedings of the Third International
Workshop on the Evaluation of Systems for the Semantic Analysis of Text
(SensEval-3), July 2004, Barcelona, Spain. |
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"Combining Lexical and Syntactic Features for Supervised Word
Sense Disambiguation", Saif Mohammad, Master's thesis,
University of Minnesota, August 2003, Minnesota. |
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Abstract
Paper (ps) Paper
(pdf) Presentation
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"Guaranteed Pre-Tagging for the Brill Tagger",
Saif Mohammad and Ted
Pedersen, In Proceedings of the Fourth International Conference
on Intelligent Text Processing and Computational Linguistics (CICLing-2003),
February 2003, Mexico City. |
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Abstract
Paper (ps) Paper
(pdf) Presentation |
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Text
Summarization |
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"Generating Surveys of Scientific Paradigms", Saif
Mohammad, Bonnie Dorr, Melissa Egan, Ahmed Hassan, Pradeep Muthukrishan,
Vahed Qazvinian, Dragomir Radev, and David Zajic, In Proceedings
of the North American Chapter of the Association for Computational
Linguistics - Human Language Technologies (NAACL-HLT-2009), May
2009, Boulder, Colorado. |
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Abstract
Paper (pdf)
Presentation |
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"Multiple alternative sentence compressions and word-pair
antonymy for automatic text summarization and recognizing textual entailment.",
Saif Mohammad, Bonnie Dorr, Melissa Egan, Jimmy Lin, and
David Zajic. Proceedings of the Text Analysis Conference (TAC-2008),
November 2008, Gaithersburg, MD.
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Abstract
Paper (pdf) Poster |
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Multi-Document
Coreference Resolution |
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"Cross-Document Coreference Resolution: A Key Technology
for Learning by Reading", James Mayfield, Bonnie Dorr, Jason Eisner,
Tim Finin, Saif Mohammad, Douglas Oard, Ralph Weischedel,
David Yarowsky, and others. March 2009. Proceedings of the AAAI Spring
Symposium on Learning by Reading and Learning to Read (AAAI-09), Menlo
Park, CA. |
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Abstract
Paper (pdf) Presentation |
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"Multiple alternative sentence compressions and word-pair
antonymy for automatic text summarization and recognizing textual entailment.",
Saif Mohammad, Bonnie Dorr, Melissa Egan, Jimmy Lin, and
David Zajic. Proceedings of the Text Analysis Conference (TAC-2008),
November 2008, Gaithersburg, MD.
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Abstract
Paper (pdf) Poster |
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Last Updated:
June 2011 |
