Saif M. Mohammad

research

∙ 06/08/2023

Utterance Emotion Dynamics in Children's Poems: Emotional Changes Across Age

Emerging psychopathology studies are showing that patterns of changes in...

0 Daniela Teodorescu, et al. ∙

research

∙ 06/03/2023

Generating High-Quality Emotion Arcs For Low-Resource Languages Using Emotion Lexicons

Automatically generated emotion arcs – that capture how an individual or...

0 Daniela Teodorescu, et al. ∙

research

∙ 05/29/2023

Forgotten Knowledge: Examining the Citational Amnesia in NLP

Citing papers is the primary method through which modern scientific writ...

0 Janvijay Singh, et al. ∙

research

∙ 05/04/2023

The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research

Recent advances in deep learning methods for natural language processing...

0 Mohamed Abdalla, et al. ∙

research

∙ 04/13/2023

SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)

We present the first Africentric SemEval Shared task, Sentiment Analysis...

5 Shamsuddeen Hassan Muhammad, et al. ∙

research

∙ 02/16/2023

AI Usage Cards: Responsibly Reporting AI-generated Content

Given AI systems like ChatGPT can generate content that is indistinguish...

0 Jan Philip Wahle, et al. ∙

research

∙ 10/26/2022

Geographic Citation Gaps in NLP Research

In a fair world, people have equitable opportunities to education, to co...

0 Mukund Rungta, et al. ∙

research

∙ 10/13/2022

Frustratingly Easy Sentiment Analysis of Text Streams: Generating High-Quality Emotion Arcs Using Emotion Lexicons

Automatically generated emotion arcs – that capture how an individual or...

0 Daniela Teodorescu, et al. ∙

research

∙ 10/13/2022

Best Practices in the Creation and Use of Emotion Lexicons

Words play a central role in how we express ourselves. Lexicons of word-...

0 Saif M. Mohammad, et al. ∙

research

∙ 10/13/2022

CS-Insights: A System for Analyzing Computer Science Research

This paper presents CS-Insights, an interactive web application to analy...

0 Terry Ruas, et al. ∙

research

∙ 04/28/2022

D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research

DBLP is the largest open-access repository of scientific articles on com...

0 Jan Philip Wahle, et al. ∙

research

∙ 04/11/2022

Tweet Emotion Dynamics: Emotion Word Usage in Tweets from US and Canada

Over the last decade, Twitter has emerged as one of the most influential...

0 Krishnapriya Vishnubhotla, et al. ∙

research

∙ 10/10/2021

What Makes Sentences Semantically Related: A Textual Relatedness Dataset and Empirical Study

The degree of semantic relatedness (or, closeness in meaning) of two uni...

0 Mohamed Abdalla, et al. ∙

research

∙ 09/17/2021

Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis

The importance and pervasiveness of emotions in our lives makes affectiv...

0 Saif M. Mohammad, et al. ∙

research

∙ 07/02/2021

Ethics Sheets for AI Tasks

Several high-profile events, such as the use of biased recidivism system...

0 Saif M. Mohammad, et al. ∙

research

∙ 06/10/2021

Ruddit: Norms of Offensiveness for English Reddit Comments

On social media platforms, hateful and offensive language negatively imp...

4 Rishav Hada, et al. ∙

research

∙ 03/01/2021

Emotion Dynamics in Movie Dialogues

Emotion dynamics is a framework for measuring how an individual's emotio...

0 Will E. Hipson, et al. ∙

research

∙ 11/06/2020

Practical and Ethical Considerations in the Effective use of Emotion and Sentiment Lexicons

Lexicons of word-emotion associations are widely used in research and re...

0 Saif M. Mohammad, et al. ∙

research

∙ 06/04/2020

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

The state of being alone can have a substantial impact on our lives, tho...

0 Svetlana Kiritchenko, et al. ∙

research

∙ 05/31/2020

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

As part of the NLP Scholar project, we created a single unified dataset ...

0 Saif M. Mohammad, et al. ∙

research

∙ 05/25/2020

Sentiment Analysis: Detecting Valence, Emotions, and Other Affectual States from Text

Recent advances in machine learning have led to computer systems that ar...

0 Saif M. Mohammad, et al. ∙

research

∙ 05/03/2020

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

Disparities in authorship and citations across gender can have substanti...

0 Saif M. Mohammad, et al. ∙

research

∙ 05/02/2020

Examining Citations of Natural Language Processing Literature

We extracted information from the ACL Anthology (AA) and Google Scholar ...

0 Saif M. Mohammad, et al. ∙

research

∙ 04/13/2020

PoKi: A Large Dataset of Poems by Children

Child language studies are crucial in improving our understanding of chi...

0 Will E. Hipson, et al. ∙

research

∙ 12/05/2019

SemEval-2015 Task 10: Sentiment Analysis in Twitter

In this paper, we describe the 2015 iteration of the SemEval shared task...

8 Sara Rosenthal, et al. ∙

research

∙ 11/08/2019

The State of NLP Literature: A Diachronic Analysis of the ACL Anthology

The ACL Anthology (AA) is a digital repository of tens of thousands of a...

0 Saif M. Mohammad, et al. ∙

research

∙ 08/19/2019

The Natural Selection of Words: Finding the Features of Fitness

We introduce a dataset for studying the evolution of words, constructed ...

0 Peter D. Turney, et al. ∙

research

∙ 09/04/2018

IEST: WASSA-2018 Implicit Emotions Shared Task

Past shared tasks on emotions use data with both overt expressions of em...

0 Roman Klinger, et al. ∙

research

∙ 05/11/2018

NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake

Our team, NRC-Canada, participated in two shared tasks at the AMIA-2017 ...

0 Svetlana Kiritchenko, et al. ∙

research

∙ 05/11/2018

Sentiment Composition of Words with Opposing Polarities

In this paper, we explore sentiment composition in phrases that have at ...

0 Svetlana Kiritchenko, et al. ∙

research

∙ 05/11/2018

Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems

Automatic machine learning systems can inadvertently accentuate and perp...

0 Svetlana Kiritchenko, et al. ∙

research

∙ 12/05/2017

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

Negators, modals, and degree adverbs can significantly affect the sentim...

0 Svetlana Kiritchenko, et al. ∙

research

∙ 12/05/2017

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

Rating scales are a widely used method for data annotation; however, the...

0 Svetlana Kiritchenko, et al. ∙

research

∙ 12/05/2017

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

Access to word-sentiment associations is useful for many applications, i...

0 Svetlana Kiritchenko, et al. ∙

research

∙ 08/11/2017

WASSA-2017 Shared Task on Emotion Intensity

We present the first shared task on detecting the intensity of emotion f...

0 Saif M. Mohammad, et al. ∙

research

∙ 08/11/2017

Emotion Intensities in Tweets

This paper examines the task of detecting intensity of emotion from text...

0 Saif M. Mohammad, et al. ∙

research

∙ 04/28/2017

Word Affect Intensities

Words often convey affect -- emotions, feelings, and attitudes. Lexicons...

0 Saif M. Mohammad, et al. ∙

research

∙ 05/05/2016

Stance and Sentiment in Tweets

We can often detect from a person's utterances whether he/she is in favo...

0 Saif M. Mohammad, et al. ∙

research

∙ 01/31/2014

Experiments with Three Approaches to Recognizing Lexical Entailment

Inference in natural language often involves recognizing lexical entailm...

0 Peter D. Turney, et al. ∙

Saif M. Mohammad

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