NLPExplorer

Saif Mohammad

Number of Papers:- 68

Number of Citations:- 828

First ACL Paper:- 2004

Latest ACL Paper:- 2021

Venues:-

EMNLP

CoNLL

EACL

WASSA

SemEval

LREC

NAACL

CLFL

IJCNLP

LaTeCH

*SEMEVAL

ACL

Co-Authors:-

Behrouz Haji Soleimani

Similar Authors:-

Kohei Ohara

Suilen Hernandez Alvarado

Pedro Aniel Sanchez Mirabal

Yarelis Ruano Torres

Xiangwen Liao

evision PDF of 'Ruddit: Norms of Offensiveness for English Reddit Comments ACL IJCNLP

NLP Scholar: An Interactive Visual Explorer for Natural Language Processing Literature ACL

Saif M. Mohammad |

Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations ACL

Saif M. Mohammad |

Examining Citations of Natural Language Processing Literature ACL

Saif M. Mohammad |

SOLO: A Corpus of Tweets for Examining the State of Being Alone LREC

Svetlana Kiritchenko | Will Hipson | Robert Coplan | Saif M. Mohammad |

NLP Scholar: A Dataset for Examining the State of NLP Research LREC

Saif M. Mohammad |

PoKi: A Large Dataset of Poems by Children LREC

Will Hipson | Saif M. Mohammad |

WordWars: A Dataset to Examine the Natural Selection of Words LREC

Saif M. Mohammad |

Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition NAACL

Shima Asaadi | Saif Mohammad | Svetlana Kiritchenko |

Proceedings of the 13th International Workshop on Semantic Evaluation *SEMEVAL

How do we feel when a robot dies? Emotions expressed on Twitter before and after hitchBOT’s destruction NAACL WS

Word Affect Intensities LREC

Saif Mohammad |

Understanding Emotions: A Dataset of Tweets to Study Interactions between Affect Categories LREC

Saif Mohammad | Svetlana Kiritchenko |

WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art LREC

Saif Mohammad | Svetlana Kiritchenko |

Quantifying Qualitative Data for Understanding Controversial Issues LREC

Michael Wojatzki | Saif Mohammad | Torsten Zesch | Svetlana Kiritchenko |

Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words ACL

Saif Mohammad |

SemEval-2018 Task 1: Affect in Tweets *SEMEVAL

Saif Mohammad | Felipe Bravo-Marquez | Mohammad Salameh | Svetlana Kiritchenko |

DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation Learning *SEMEVAL

Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems *SEMEVAL

Svetlana Kiritchenko | Saif Mohammad |

Agree or Disagree: Predicting Judgments on Nuanced Assertions *SEMEVAL

Michael Wojatzki | Torsten Zesch | Saif Mohammad | Svetlana Kiritchenko |

Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis EMNLP WS

Alexandra Balahur | Saif M. Mohammad | Veronique Hoste | Roman Klinger |

IEST: WASSA-2018 Implicit Emotions Shared Task EMNLP WS

Roman Klinger | Orphée De Clercq | Saif Mohammad | Alexandra Balahur |

Proceedings of The 12th International Workshop on Semantic Evaluation SemEval

Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation ACL

Svetlana Kiritchenko | Saif Mohammad |

Emotion Intensities in Tweets *SEMEVAL

Saif Mohammad | Felipe Bravo-Marquez |

Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017) *SEMEVAL

Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis WASSA WS

Alexandra Balahur | Saif M. Mohammad | Erik van der Goot |

WASSA-2017 Shared Task on Emotion Intensity WASSA WS

Saif Mohammad | Felipe Bravo-Marquez |

Sentiment Lexicons for Arabic Social Media LREC

Saif Mohammad | Mohammad Salameh | Svetlana Kiritchenko |

Happy Accident: A Sentiment Composition Lexicon for Opposing Polarity Phrases LREC

Svetlana Kiritchenko | Saif Mohammad |

A Dataset for Detecting Stance in Tweets LREC

Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best–Worst Scaling NAACL

Svetlana Kiritchenko | Saif M. Mohammad |

Sentiment Composition of Words with Opposing Polarities NAACL

Svetlana Kiritchenko | Saif M. Mohammad |

SemEval-2016 Task 6: Detecting Stance in Tweets *SEMEVAL

SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases *SEMEVAL

Svetlana Kiritchenko | Saif Mohammad | Mohammad Salameh |

Metaphor as a Medium for Emotion: An Empirical Study *SEMEVAL

Saif Mohammad | Ekaterina Shutova | Peter Turney |

Detecting Stance in Tweets And Analyzing its Interaction with Sentiment *SEMEVAL

Parinaz Sobhani | Saif Mohammad | Svetlana Kiritchenko |

The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition WASSA WS

Svetlana Kiritchenko | Saif Mohammad |

A Practical Guide to Sentiment Annotation: Challenges and Solutions WASSA WS

Saif Mohammad |

Sentiment after Translation: A Case-Study on Arabic Social Media Posts NAACL

Mohammad Salameh | Saif Mohammad | Svetlana Kiritchenko |

SemEval-2015 Task 10: Sentiment Analysis in Twitter *SEMEVAL

Imagisaurus: An Interactive Visualizer of Valence and Emotion in the Roget’s Thesaurus WASSA WS

Saif Mohammad |

An Empirical Study on the Effect of Negation Words on Sentiment ACL

Xiaodan Zhu | Hongyu Guo | Saif Mohammad | Svetlana Kiritchenko |

NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews *SEMEVAL

Svetlana Kiritchenko | Xiaodan Zhu | Colin Cherry | Saif Mohammad |

NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets *SEMEVAL

Xiaodan Zhu | Svetlana Kiritchenko | Saif Mohammad |

Generating Music from Literature CLFL WS

Hannah Davis | Saif Mohammad |

Words: Evaluative, Emotional, Colourful, Musical! WASSA WS

Saif Mohammad |

Semantic Role Labeling of Emotions in Tweets WASSA WS

Saif Mohammad | Xiaodan Zhu | Joel Martin |

Computing Lexical Contrast CL

Saif M. Mohammad | Bonnie J. Dorr | Graeme Hirst | Peter D. Turney |

NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets *SEMEVAL

Saif Mohammad | Svetlana Kiritchenko | Xiaodan Zhu |

Portable Features for Classifying Emotional Text NAACL

Saif Mohammad |

#Emotional Tweets *SEMEVAL

Saif Mohammad |

SemEval-2012 Task 2: Measuring Degrees of Relational Similarity *SEMEVAL

David Jurgens | Saif Mohammad | Peter Turney | Keith Holyoak |

Even the Abstract have Color: Consensus in Word-Colour Associations ACL

Saif Mohammad |

Colourful Language: Measuring Word-Colour Associations WS

Saif Mohammad |

From Once Upon a Time to Happily Ever After: Tracking Emotions in Novels and Fairy Tales LaTeCH WS

Saif Mohammad |

Tracking Sentiment in Mail: How Genders Differ on Emotional Axes WS

Saif Mohammad | Tony Yang |

Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon WS

Saif Mohammad | Peter Turney |

Generating High-Coverage Semantic Orientation Lexicons From Overtly Marked Words and a Thesaurus EMNLP

Saif Mohammad | Cody Dunne | Bonnie Dorr |

Estimating Semantic Distance Using Soft Semantic Constraints in Knowledge-Source – Corpus Hybrid Models EMNLP

Yuval Marton | Saif Mohammad | Philip Resnik |

Using Citations to Generate surveys of Scientific Paradigms NAACL

Computing Word-Pair Antonymy EMNLP

Saif Mohammad | Bonnie Dorr | Graeme Hirst |

Cross-Lingual Distributional Profiles of Concepts for Measuring Semantic Distance CoNLL EMNLP

Saif Mohammad | Iryna Gurevych | Graeme Hirst | Torsten Zesch |

Tor, TorMd: Distributional Profiles of Concepts for Unsupervised Word Sense Disambiguation *SEMEVAL

Saif Mohammad | Graeme Hirst | Philip Resnik |

Determining Word Sense Dominance Using a Thesaurus EACL

Saif Mohammad | Graeme Hirst |

Distributional measures of concept-distance: A task-oriented evaluation EMNLP WS

Saif Mohammad | Graeme Hirst |

Complementarity of lexical and simple syntactic features: The SyntaLex approach to Senseval-3 *SEMEVAL WS

Saif Mohammad | Ted Pedersen |

Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation CoNLL WS

Saif Mohammad | Ted Pedersen |