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Saif M. Mohammad
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2020 – today
- 2021
[c67]Rishav Hada, Sohi Sudhir, Pushkar Mishra, Helen Yannakoudakis, Saif M. Mohammad, Ekaterina Shutova:
Ruddit: Norms of Offensiveness for English Reddit Comments. ACL/IJCNLP (1) 2021: 2700-2717- [i42]Will E. Hipson, Saif M. Mohammad:
Emotion Dynamics in Movie Dialogues. CoRR abs/2103.01345 (2021) - [i41]Rishav Hada, Sohi Sudhir, Pushkar Mishra, Helen Yannakoudakis, Saif M. Mohammad, Ekaterina Shutova:
Ruddit: Norms of Offensiveness for English Reddit Comments. CoRR abs/2106.05664 (2021) - [i40]Saif M. Mohammad:
Ethics Sheets for AI Tasks. CoRR abs/2107.01183 (2021) - [i39]Saif M. Mohammad:
Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis. CoRR abs/2109.08256 (2021) - [i38]Mohamed Abdalla, Krishnapriya Vishnubhotla, Saif M. Mohammad:
What Makes Sentences Semantically Related: A Textual Relatedness Dataset and Empirical Study. CoRR abs/2110.04845 (2021) - 2020
- [c66]Chris Kim, Uta Hinrichs
, Saif M. Mohammad, Christopher Collins:
Lexichrome: Text Construction and Lexical Discovery with Word-Color Associations Using Interactive Visualization. Conference on Designing Interactive Systems 2020: 477-488 - [c65]Saif M. Mohammad:
NLP Scholar: An Interactive Visual Explorer for Natural Language Processing Literature. ACL (demo) 2020: 232-255 - [c64]Saif M. Mohammad:
Examining Citations of Natural Language Processing Literature. ACL 2020: 5199-5209 - [c63]Saif M. Mohammad:
Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations. ACL 2020: 7860-7870 - [c62]Saif M. Mohammad:
NLP Scholar: A Dataset for Examining the State of NLP Research. LREC 2020: 868-877 - [c61]Svetlana Kiritchenko, Will E. Hipson, Robert J. Coplan, Saif M. Mohammad:
SOLO: A Corpus of Tweets for Examining the State of Being Alone. LREC 2020: 1567-1577 - [c60]Will E. Hipson, Saif M. Mohammad:
PoKi: A Large Dataset of Poems by Children. LREC 2020: 1578-1589 - [c59]Saif M. Mohammad:
WordWars: A Dataset to Examine the Natural Selection of Words. LREC 2020: 3087-3095 - [i37]Will E. Hipson, Saif M. Mohammad:
PoKi: A Large Dataset of Poems by Children. CoRR abs/2004.06188 (2020) - [i36]Saif M. Mohammad:
Examining Citations of Natural Language Processing Literature. CoRR abs/2005.00912 (2020) - [i35]Saif M. Mohammad:
Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations. CoRR abs/2005.00962 (2020) - [i34]Saif M. Mohammad:
Sentiment Analysis: Detecting Valence, Emotions, and Other Affectual States from Text. CoRR abs/2005.11882 (2020) - [i33]Saif M. Mohammad:
NLP Scholar: An Interactive Visual Explorer for Natural Language Processing Literature. CoRR abs/2006.01131 (2020) - [i32]Svetlana Kiritchenko, Will E. Hipson, Robert J. Coplan, Saif M. Mohammad:
SOLO: A Corpus of Tweets for Examining the State of Being Alone. CoRR abs/2006.03096 (2020) - [i31]Saif M. Mohammad:
Practical and Ethical Considerations in the Effective use of Emotion and Sentiment Lexicons. CoRR abs/2011.03492 (2020)
2010 – 2019
- 2019
- [j13]Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer, Saif M. Mohammad:
AffectiveTweets: a Weka Package for Analyzing Affect in Tweets. J. Mach. Learn. Res. 20: 92:1-92:6 (2019) - [c58]Shima Asaadi, Saif Mohammad, Svetlana Kiritchenko:
Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition. NAACL-HLT (1) 2019: 505-516 - [c57]Kathleen C. Fraser, Frauke Zeller, David Harris Smith, Saif Mohammad, Frank Rudzicz:
How do we feel when a robot dies? Emotions expressed on Twitter before and after hitchBOT's destruction. WASSA@NAACL-HLT 2019: 62-71 - [e5]Jonathan May, Ekaterina Shutova, Aurélie Herbelot, Xiaodan Zhu, Marianna Apidianaki, Saif M. Mohammad:
Proceedings of the 13th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2019, Minneapolis, MN, USA, June 6-7, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-06-2 [contents] - [i30]Peter D. Turney, Saif M. Mohammad:
The Natural Selection of Words: Finding the Features of Fitness. CoRR abs/1908.07013 (2019) - [i29]Saif M. Mohammad:
The State of NLP Literature: A Diachronic Analysis of the ACL Anthology. CoRR abs/1911.03562 (2019) - [i28]Sara Rosenthal, Saif M. Mohammad, Preslav Nakov, Alan Ritter, Svetlana Kiritchenko, Veselin Stoyanov:
SemEval-2015 Task 10: Sentiment Analysis in Twitter. CoRR abs/1912.02387 (2019) - 2018
- [j12]Abeed Sarker, Maksim Belousov, Jasper Friedrichs, Kai Hakala, Svetlana Kiritchenko, Farrokh Mehryary, Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru, Berry de Bruijn, Filip Ginter, Debanjan Mahata, Saif M. Mohammad, Goran Nenadic, Graciela Gonzalez-Hernandez:
Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task. J. Am. Medical Informatics Assoc. 25(10): 1274-1283 (2018) - [c56]Saif Mohammad:
Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20, 000 English Words. ACL (1) 2018: 174-184 - [c55]Saif Mohammad:
Word Affect Intensities. LREC 2018 - [c54]Saif Mohammad, Svetlana Kiritchenko:
Understanding Emotions: A Dataset of Tweets to Study Interactions between Affect Categories. LREC 2018 - [c53]Saif Mohammad, Svetlana Kiritchenko:
WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art. LREC 2018 - [c52]Michael Wojatzki, Saif Mohammad, Torsten Zesch, Svetlana Kiritchenko:
Quantifying Qualitative Data for Understanding Controversial Issues. LREC 2018 - [c51]Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, Svetlana Kiritchenko:
SemEval-2018 Task 1: Affect in Tweets. SemEval@NAACL-HLT 2018: 1-17 - [c50]Habibeh Naderi, Behrouz Haji Soleimani, Saif Mohammad, Svetlana Kiritchenko, Stan Matwin:
DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation Learning. SemEval@NAACL-HLT 2018: 305-312 - [c49]Svetlana Kiritchenko, Saif Mohammad:
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems. *SEM@NAACL-HLT 2018: 43-53 - [c48]Michael Wojatzki, Torsten Zesch, Saif Mohammad, Svetlana Kiritchenko:
Agree or Disagree: Predicting Judgments on Nuanced Assertions. *SEM@NAACL-HLT 2018: 214-224 - [c47]Roman Klinger, Orphée De Clercq, Saif Mohammad, Alexandra Balahur:
IEST: WASSA-2018 Implicit Emotions Shared Task. WASSA@EMNLP 2018: 31-42 - [e4]Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat:
Proceedings of The 12th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2018, New Orleans, Louisiana, USA, June 5-6, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-20-9 [contents] - [e3]Alexandra Balahur, Saif M. Mohammad, Véronique Hoste, Roman Klinger:
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA@EMNLP 2018, Brussels, Belgium, October 31, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-80-3 [contents] - [i27]Svetlana Kiritchenko, Saif M. Mohammad:
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems. CoRR abs/1805.04508 (2018) - [i26]Svetlana Kiritchenko, Saif M. Mohammad:
Sentiment Composition of Words with Opposing Polarities. CoRR abs/1805.04542 (2018) - [i25]Svetlana Kiritchenko, Saif M. Mohammad, Jason Morin, Berry de Bruijn:
NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake. CoRR abs/1805.04558 (2018) - [i24]Roman Klinger, Orphée De Clercq, Saif M. Mohammad, Alexandra Balahur:
IEST: WASSA-2018 Implicit Emotions Shared Task. CoRR abs/1809.01083 (2018) - 2017
- [j11]Saif M. Mohammad, Parinaz Sobhani, Svetlana Kiritchenko:
Stance and Sentiment in Tweets. ACM Trans. Internet Techn. 17(3): 26:1-26:23 (2017) - [c46]Svetlana Kiritchenko, Saif Mohammad:
Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation. ACL (2) 2017: 465-470 - [c45]Svetlana Kiritchenko, Saif M. Mohammad, Jason Morin, Berry de Bruijn:
NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake. SMM4H@AMIA 2017: 1-11 - [c44]Saif Mohammad, Felipe Bravo-Marquez:
Emotion Intensities in Tweets. *SEM 2017: 65-77 - [c43]Saif Mohammad, Felipe Bravo-Marquez:
WASSA-2017 Shared Task on Emotion Intensity. WASSA@EMNLP 2017: 34-49 - [e2]Steven Bethard, Marine Carpuat, Marianna Apidianaki, Saif M. Mohammad, Daniel M. Cer, David Jurgens:
Proceedings of the 11th International Workshop on Semantic Evaluation, SemEval@ACL 2017, Vancouver, Canada, August 3-4, 2017. Association for Computational Linguistics 2017 [contents] - [e1]Alexandra Balahur, Saif M. Mohammad, Erik van der Goot:
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA@EMNLP 2017, Copenhagen, Denmark, September 8, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-95-1 [contents] - [i23]Saif M. Mohammad:
Word Affect Intensities. CoRR abs/1704.08798 (2017) - [i22]Saif M. Mohammad, Felipe Bravo-Marquez:
Emotion Intensities in Tweets. CoRR abs/1708.03696 (2017) - [i21]Saif M. Mohammad, Felipe Bravo-Marquez:
WASSA-2017 Shared Task on Emotion Intensity. CoRR abs/1708.03700 (2017) - [i20]Svetlana Kiritchenko, Saif M. Mohammad:
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling. CoRR abs/1712.01741 (2017) - [i19]Svetlana Kiritchenko, Saif M. Mohammad:
Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation. CoRR abs/1712.01765 (2017) - [i18]Svetlana Kiritchenko, Saif M. Mohammad:
The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition. CoRR abs/1712.01794 (2017) - 2016
- [j10]Saif M. Mohammad, Mohammad Salameh, Svetlana Kiritchenko:
How Translation Alters Sentiment. J. Artif. Intell. Res. 55: 95-130 (2016) - [j9]Preslav Nakov, Sara Rosenthal, Svetlana Kiritchenko, Saif M. Mohammad, Zornitsa Kozareva, Alan Ritter, Veselin Stoyanov, Xiaodan Zhu:
Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts. Lang. Resour. Evaluation 50(1): 35-65 (2016) - [c42]Svetlana Kiritchenko, Saif Mohammad:
Happy Accident: A Sentiment Composition Lexicon for Opposing Polarity Phrases. LREC 2016 - [c41]Saif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiao-Dan Zhu, Colin Cherry:
A Dataset for Detecting Stance in Tweets. LREC 2016 - [c40]Saif Mohammad, Mohammad Salameh, Svetlana Kiritchenko:
Sentiment Lexicons for Arabic Social Media. LREC 2016 - [c39]Svetlana Kiritchenko, Saif M. Mohammad:
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling. HLT-NAACL 2016: 811-817 - [c38]Svetlana Kiritchenko, Saif M. Mohammad:
Sentiment Composition of Words with Opposing Polarities. HLT-NAACL 2016: 1102-1108 - [c37]Saif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiao-Dan Zhu, Colin Cherry:
SemEval-2016 Task 6: Detecting Stance in Tweets. SemEval@NAACL-HLT 2016: 31-41 - [c36]Svetlana Kiritchenko, Saif Mohammad, Mohammad Salameh:
SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases. SemEval@NAACL-HLT 2016: 42-51 - [c35]Saif Mohammad, Ekaterina Shutova, Peter D. Turney:
Metaphor as a Medium for Emotion: An Empirical Study. *SEM@ACL 2016 - [c34]Parinaz Sobhani, Saif Mohammad, Svetlana Kiritchenko:
Detecting Stance in Tweets And Analyzing its Interaction with Sentiment. *SEM@ACL 2016 - [c33]Svetlana Kiritchenko, Saif Mohammad:
The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition. WASSA@NAACL-HLT 2016: 43-52 - [c32]Saif Mohammad:
A Practical Guide to Sentiment Annotation: Challenges and Solutions. WASSA@NAACL-HLT 2016: 174-179 - [c31]Felipe Bravo-Marquez, Eibe Frank, Saif M. Mohammad, Bernhard Pfahringer:
Determining Word-Emotion Associations from Tweets by Multi-label Classification. WI 2016: 536-539 - [i17]Saif M. Mohammad, Parinaz Sobhani, Svetlana Kiritchenko:
Stance and Sentiment in Tweets. CoRR abs/1605.01655 (2016) - 2015
- [j8]Saif M. Mohammad, Svetlana Kiritchenko:
Using Hashtags to Capture Fine Emotion Categories from Tweets. Comput. Intell. 31(2): 301-326 (2015) - [j7]Saif M. Mohammad, Xiaodan Zhu, Svetlana Kiritchenko, Joel D. Martin:
Sentiment, emotion, purpose, and style in electoral tweets. Inf. Process. Manag. 51(4): 480-499 (2015) - [j6]Peter D. Turney, Saif M. Mohammad:
Experiments with three approaches to recognizing lexical entailment. Nat. Lang. Eng. 21(3): 437-476 (2015) - [c30]Mohammad Salameh, Saif Mohammad, Svetlana Kiritchenko:
Sentiment after Translation: A Case-Study on Arabic Social Media Posts. HLT-NAACL 2015: 767-777 - [c29]Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, Saif Mohammad, Alan Ritter, Veselin Stoyanov:
SemEval-2015 Task 10: Sentiment Analysis in Twitter. SemEval@NAACL-HLT 2015: 451-463 - [c28]Saif Mohammad:
Imagisaurus: An Interactive Visualizer of Valence and Emotion in the Roget's Thesaurus. WASSA@EMNLP 2015: 85-91 - 2014
- [j5]Svetlana Kiritchenko, Xiaodan Zhu, Saif M. Mohammad:
Sentiment Analysis of Short Informal Texts. J. Artif. Intell. Res. 50: 723-762 (2014) - [c27]Xiaodan Zhu, Hongyu Guo, Saif Mohammad, Svetlana Kiritchenko:
An Empirical Study on the Effect of Negation Words on Sentiment. ACL (1) 2014: 304-313 - [c26]Hannah Davis, Saif Mohammad:
Generating Music from Literature. CLfL@EACL 2014: 1-10 - [c25]Svetlana Kiritchenko, Xiaodan Zhu, Colin Cherry, Saif Mohammad:
NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews. SemEval@COLING 2014: 437-442 - [c24]Xiaodan Zhu, Svetlana Kiritchenko, Saif Mohammad:
NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets. SemEval@COLING 2014: 443-447 - [c23]Saif Mohammad:
Words: Evaluative, Emotional, Colourful, Musical! WASSA@ACL 2014: 1 - [c22]Saif Mohammad, Xiaodan Zhu, Joel D. Martin:
Semantic Role Labeling of Emotions in Tweets. WASSA@ACL 2014: 32-41 - [i16]Peter D. Turney, Saif M. Mohammad:
Experiments with Three Approaches to Recognizing Lexical Entailment. CoRR abs/1401.8269 (2014) - [i15]Vahed Qazvinian, Dragomir R. Radev, Saif M. Mohammad, Bonnie J. Dorr, David M. Zajic, Michael Whidby, Taesun Moon:
Generating Extractive Summaries of Scientific Paradigms. CoRR abs/1402.0556 (2014) - [i14]Hannah Davis, Saif M. Mohammad:
Generating Music from Literature. CoRR abs/1403.2124 (2014) - 2013
- [j4]Saif Mohammad, Peter D. Turney:
Crowdsourcing a Word-Emotion Association Lexicon. Comput. Intell. 29(3): 436-465 (2013) - [j3]Saif Mohammad, Bonnie J. Dorr, Graeme Hirst, Peter D. Turney:
Computing Lexical Contrast. Comput. Linguistics 39(3): 555-590 (2013) - [j2]Vahed Qazvinian, Dragomir R. Radev, Saif Mohammad, Bonnie J. Dorr, David M. Zajic, Michael Whidby, Taesun Moon:
Generating Extractive Summaries of Scientific Paradigms. J. Artif. Intell. Res. 46: 165-201 (2013) - [c21]Saif M. Mohammad, Svetlana Kiritchenko, Joel D. Martin:
Identifying purpose behind electoral tweets. WISDOM 2013: 1:1-1:9 - [c20]Saif Mohammad, Svetlana Kiritchenko, Xiaodan Zhu:
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets. SemEval@NAACL-HLT 2013: 321-327 - [i13]Saif M. Mohammad, Svetlana Kiritchenko, Xiaodan Zhu:
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets. CoRR abs/1308.6242 (2013) - [i12]Saif Mohammad, Peter D. Turney:
Crowdsourcing a Word-Emotion Association Lexicon. CoRR abs/1308.6297 (2013) - [i11]Saif Mohammad, Bonnie J. Dorr, Graeme Hirst, Peter D. Turney:
Computing Lexical Contrast. CoRR abs/1308.6300 (2013) - [i10]Saif M. Mohammad:
Even the Abstract have Colour: Consensus in Word-Colour Associations. CoRR abs/1309.5391 (2013) - [i9]Saif Mohammad:
From Once Upon a Time to Happily Ever After: Tracking Emotions in Novels and Fairy Tales. CoRR abs/1309.5909 (2013) - [i8]Saif Mohammad:
Colourful Language: Measuring Word-Colour Associations. CoRR abs/1309.5942 (2013) - [i7]Saif M. Mohammad, Tony Yang:
Tracking Sentiment in Mail: How Genders Differ on Emotional Axes. CoRR abs/1309.6347 (2013) - [i6]Saif M. Mohammad, Svetlana Kiritchenko:
Using Nuances of Emotion to Identify Personality. CoRR abs/1309.6352 (2013) - [i5]Saif M. Mohammad, Svetlana Kiritchenko, Joel D. Martin:
Identifying Purpose Behind Electoral Tweets. CoRR abs/1311.1194 (2013) - 2012
- [j1]Saif M. Mohammad:
From once upon a time to happily ever after: Tracking emotions in mail and books. Decis. Support Syst. 53(4): 730-741 (2012) - [c19]Saif Mohammad:
Portable Features for Classifying Emotional Text. HLT-NAACL 2012: 587-591 - [c18]David Jurgens, Saif Mohammad, Peter D. Turney, Keith J. Holyoak:
SemEval-2012 Task 2: Measuring Degrees of Relational Similarity. SemEval@NAACL-HLT 2012: 356-364 - [c17]Saif Mohammad:
#Emotional Tweets. *SEM@NAACL-HLT 2012: 246-255 - [p1]Graeme Hirst, Saif Mohammad:
Semantic Distance Measures with Distributional Profiles of Coarse-Grained Concepts. Modeling, Learning, and Processing of Text Technological Data Structures 2012: 61-79 - [i4]Saif Mohammad, Graeme Hirst:
Distributional Measures of Semantic Distance: A Survey. CoRR abs/1203.1858 (2012) - [i3]Saif Mohammad, Graeme Hirst:
Distributional Measures as Proxies for Semantic Relatedness. CoRR abs/1203.1889 (2012) - 2011
- [c16]Saif Mohammad:
Even the Abstract have Color: Consensus in Word-Colour Associations. ACL (2) 2011: 368-373 - [c15]Saif Mohammad:
Colourful Language: Measuring Word-Colour Associations. CMCL@ACL 2011: 97-106 - [c14]Saif Mohammad:
From Once Upon a Time to Happily Ever After: Tracking Emotions in Novels and Fairy Tales. LaTeCH@ACL 2011: 105-114 - [c13]Saif Mohammad, Tony Yang:
Tracking Sentiment in Mail: How Genders Differ on Emotional Axes. WASSA@ACL 2011: 70-79 - [i2]Alistair Kennedy, Anna Kazantseva, Terry Copeck, Diana Inkpen, Stan Szpakowicz, Saif Mohammad:
Getting Emotional About News. TAC 2011
2000 – 2009
- 2009
- [c12]James Mayfield, David Alexander, Bonnie J. Dorr, Jason Eisner, Tamer Elsayed, Tim Finin, Clayton Fink, Marjorie Freedman, Nikesh Garera, Paul McNamee, Saif Mohammad, Douglas W. Oard, Christine D. Piatko, Asad B. Sayeed, Zareen Syed, Ralph M. Weischedel, Tan Xu, David Yarowsky:
Cross-Document Coreference Resolution: A Key Technology for Learning by Reading. AAAI Spring Symposium: Learning by Reading and Learning to Read 2009: 65-70 - [c11]Saif Mohammad, Cody Dunne, Bonnie J. Dorr:
Generating High-Coverage Semantic Orientation Lexicons From Overtly Marked Words and a Thesaurus. EMNLP 2009: 599-608 - [c10]Yuval Marton, Saif Mohammad, Philip Resnik:
Estimating Semantic Distance Using Soft Semantic Constraints in Knowledge-Source - Corpus Hybrid Models. EMNLP 2009: 775-783 - [c9]Saif Mohammad, Bonnie J. Dorr, Melissa Egan, Ahmed Hassan Awadallah, Pradeep Muthukrishnan, Vahed Qazvinian, Dragomir R. Radev, David M. Zajic:
Using Citations to Generate surveys of Scientific Paradigms. HLT-NAACL 2009: 584-592 - 2008
- [c8]Saif Mohammad, Bonnie J. Dorr, Graeme Hirst:
Computing Word-Pair Antonymy. EMNLP 2008: 982-991 - [i1]Saif Mohammad, Bonnie J. Dorr, Melissa Egan, Nitin Madnani, David M. Zajic, Jimmy Lin:
Multiple Alternative Sentence Compressions and Word-Pair Antonymy for Automatic Text Summarization and Recognizing Textual Entailment. TAC 2008 - 2007
- [c7]Saif Mohammad, Iryna Gurevych, Graeme Hirst, Torsten Zesch:
Cross-Lingual Distributional Profiles of Concepts for Measuring Semantic Distance. EMNLP-CoNLL 2007: 571-580 - [c6]Saif Mohammad, Graeme Hirst, Philip Resnik:
Tor, TorMd: Distributional Profiles of Concepts for Unsupervised Word Sense Disambiguation. SemEval@ACL 2007: 326-333 - 2006
- [c5]Saif Mohammad, Graeme Hirst:
Determining Word Sense Dominance Using a Thesaurus. EACL 2006 - [c4]Saif Mohammad, Graeme Hirst:
Distributional measures of concept-distance: A task-oriented evaluation. EMNLP 2006: 35-43 - 2004
- [c3]Saif Mohammad, Ted Pedersen:
Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation. CoNLL 2004: 25-32 - [c2]Saif Mohammad, Ted Pedersen:
Complementarity of lexical and simple syntactic features: The SyntaLex approach to Senseval-3. SENSEVAL@ACL 2004 - 2003
- [c1]Saif Mohammad, Ted Pedersen:
Guaranteed Pre-tagging for the Brill Tagger. CICLing 2003: 148-157
Coauthor Index
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