1 code implementation • LREC 2022 • Krishnapriya Vishnubhotla, Saif M. Mohammad
Over the last decade, Twitter has emerged as one of the most influential forums for social, political, and health discourse.
no code implementations • 30 Mar 2025 • Saif M. Mohammad
Factor analysis studies have shown that the primary dimensions of word meaning are Valence (V), Arousal (A), and Dominance (D) (also referred to in social cognition research as Competence (C)).
1 code implementation • 10 Mar 2025 • Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Seid Muhie Yimam, Jan Philip Wahle, Terry Ruas, Meriem Beloucif, Christine de Kock, Tadesse Destaw Belay, Ibrahim Said Ahmad, Nirmal Surange, Daniela Teodorescu, David Ifeoluwa Adelani, Alham Fikri Aji, Felermino Ali, Vladimir Araujo, Abinew Ali Ayele, Oana Ignat, Alexander Panchenko, Yi Zhou, Saif M. Mohammad
The data instances are multi-labeled into six emotional classes, with additional datasets in 11 languages annotated for emotion intensity.
1 code implementation • 17 Feb 2025 • Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Jan Philip Wahle, Terry Ruas, Meriem Beloucif, Christine de Kock, Nirmal Surange, Daniela Teodorescu, Ibrahim Said Ahmad, David Ifeoluwa Adelani, Alham Fikri Aji, Felermino D. M. A. Ali, Ilseyar Alimova, Vladimir Araujo, Nikolay Babakov, Naomi Baes, Ana-Maria Bucur, Andiswa Bukula, Guanqun Cao, Rodrigo Tufino Cardenas, Rendi Chevi, Chiamaka Ijeoma Chukwuneke, Alexandra Ciobotaru, Daryna Dementieva, Murja Sani Gadanya, Robert Geislinger, Bela Gipp, Oumaima Hourrane, Oana Ignat, Falalu Ibrahim Lawan, Rooweither Mabuya, Rahmad Mahendra, Vukosi Marivate, Andrew Piper, Alexander Panchenko, Charles Henrique Porto Ferreira, Vitaly Protasov, Samuel Rutunda, Manish Shrivastava, Aura Cristina Udrea, Lilian Diana Awuor Wanzare, Sophie Wu, Florian Valentin Wunderlich, Hanif Muhammad Zhafran, Tianhui Zhang, Yi Zhou, Saif M. Mohammad
In this paper, we present BRIGHTER-- a collection of multilabeled emotion-annotated datasets in 28 different languages.
no code implementations • 6 Nov 2024 • Saif M. Mohammad
We show that the anxiety associations are highly reliable.
no code implementations • 16 Oct 2024 • Nedjma Ousidhoum, Meriem Beloucif, Saif M. Mohammad
While there has been a rising interest in mid- to low-resource languages within the NLP community, work in this space has to overcome unique challenges such as data scarcity and access to suitable annotators.
1 code implementation • 29 Sep 2024 • Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych
In this work, we quantitatively investigate what constitutes NLP by examining research papers.
1 code implementation • 29 Sep 2024 • Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych
Large Language Models (LLMs) have ushered in a transformative era in Natural Language Processing (NLP), reshaping research and extending NLP's influence to other fields of study.
1 code implementation • 27 Mar 2024 • Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla, Idris Abdulmumin, Ibrahim Said Ahmad, Sanchit Ahuja, Alham Fikri Aji, Vladimir Araujo, Meriem Beloucif, Christine de Kock, Oumaima Hourrane, Manish Shrivastava, Thamar Solorio, Nirmal Surange, Krishnapriya Vishnubhotla, Seid Muhie Yimam, Saif M. Mohammad
We present the first shared task on Semantic Textual Relatedness (STR).
1 code implementation • 4 Mar 2024 • Krishnapriya Vishnubhotla, Adam Hammond, Graeme Hirst, Saif M. Mohammad
The emotional journeys of the various characters within a story are central to their appeal.
no code implementations • 4 Mar 2024 • Krishnapriya Vishnubhotla, Daniela Teodorescu, Mallory J. Feldman, Kristen A. Lindquist, Saif M. Mohammad
We are united in how emotions are central to shaping our experiences; and yet, individuals differ greatly in how we each identify, categorize, and express emotions.
2 code implementations • 19 Feb 2024 • Jan Philip Wahle, Terry Ruas, Mohamed Abdalla, Bela Gipp, Saif M. Mohammad
This study examines the tendency to cite older work across 20 fields of study over 43 years (1980--2023).
2 code implementations • 13 Feb 2024 • Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla, Idris Abdulmumin, Ibrahim Said Ahmad, Sanchit Ahuja, Alham Fikri Aji, Vladimir Araujo, Abinew Ali Ayele, Pavan Baswani, Meriem Beloucif, Chris Biemann, Sofia Bourhim, Christine de Kock, Genet Shanko Dekebo, Oumaima Hourrane, Gopichand Kanumolu, Lokesh Madasu, Samuel Rutunda, Manish Shrivastava, Thamar Solorio, Nirmal Surange, Hailegnaw Getaneh Tilaye, Krishnapriya Vishnubhotla, Genta Winata, Seid Muhie Yimam, Saif M. Mohammad
Exploring and quantifying semantic relatedness is central to representing language and holds significant implications across various NLP tasks.
no code implementations • 26 Oct 2023 • Daniela Teodorescu, Tiffany Cheng, Alona Fyshe, Saif M. Mohammad
Research in psychopathology has shown that, at an aggregate level, the patterns of emotional change over time -- emotion dynamics -- are indicators of one's mental health.
1 code implementation • 23 Oct 2023 • Jan Philip Wahle, Terry Ruas, Mohamed Abdalla, Bela Gipp, Saif M. Mohammad
We analyzed ~77k NLP papers, ~3. 1m citations from NLP papers to other papers, and ~1. 8m citations from other papers to NLP papers.
no code implementations • 8 Jun 2023 • Daniela Teodorescu, Alona Fyshe, Saif M. Mohammad
These results act as a useful baselines for further research in how patterns of emotions expressed by children change with age, and their association with mental health.
1 code implementation • 3 Jun 2023 • Daniela Teodorescu, Saif M. Mohammad
By running experiments on 18 diverse datasets in 9 languages, we show that despite being markedly poor at instance level emotion classification, LexO methods are highly accurate at generating emotion arcs when aggregating information from hundreds of instances.
no code implementations • 29 May 2023 • Janvijay Singh, Mukund Rungta, Diyi Yang, Saif M. Mohammad
Citing papers is the primary method through which modern scientific writing discusses and builds on past work.
no code implementations • 22 May 2023 • Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych
In this study, we propose a systematic framework for analyzing the evolution of research topics in a scientific field using causal discovery and inference techniques.
1 code implementation • 4 May 2023 • Mohamed Abdalla, Jan Philip Wahle, Terry Ruas, Aurélie Névéol, Fanny Ducel, Saif M. Mohammad, Karën Fort
Recent advances in deep learning methods for natural language processing (NLP) have created new business opportunities and made NLP research critical for industry development.
1 code implementation • 13 Apr 2023 • Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Seid Muhie Yimam, David Ifeoluwa Adelani, Ibrahim Sa'id Ahmad, Nedjma Ousidhoum, Abinew Ayele, Saif M. Mohammad, Meriem Beloucif, Sebastian Ruder
We present the first Africentric SemEval Shared task, Sentiment Analysis for African Languages (AfriSenti-SemEval) - The dataset is available at https://github. com/afrisenti-semeval/afrisent-semeval-2023.
3 code implementations • 17 Feb 2023 • Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele, Nedjma Ousidhoum, David Ifeoluwa Adelani, Seid Muhie Yimam, Ibrahim Sa'id Ahmad, Meriem Beloucif, Saif M. Mohammad, Sebastian Ruder, Oumaima Hourrane, Pavel Brazdil, Felermino Dário Mário António Ali, Davis David, Salomey Osei, Bello Shehu Bello, Falalu Ibrahim, Tajuddeen Gwadabe, Samuel Rutunda, Tadesse Belay, Wendimu Baye Messelle, Hailu Beshada Balcha, Sisay Adugna Chala, Hagos Tesfahun Gebremichael, Bernard Opoku, Steven Arthur
These include 75 languages with at least one million speakers each.
1 code implementation • 26 Oct 2022 • Mukund Rungta, Janvijay Singh, Saif M. Mohammad, Diyi Yang
Similar disparities are also believed to exist for paper citation counts.
no code implementations • 13 Oct 2022 • Daniela Teodorescu, Saif M. Mohammad
We also compare two common ways of generating emotion arcs: Machine-Learning (ML) models and Lexicon-Only (LexO) methods.
no code implementations • 13 Oct 2022 • Saif M. Mohammad
Words play a central role in how we express ourselves.
2 code implementations • 13 Oct 2022 • Terry Ruas, Jan Philip Wahle, Lennart Küll, Saif M. Mohammad, Bela Gipp
This paper presents CS-Insights, an interactive web application to analyze computer science publications from DBLP through multiple perspectives.
5 code implementations • 9 Jun 2022 • Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew Dai, Andrew La, Andrew Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakaş, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartłomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, César Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodola, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, Francois Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocoń, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, Jose Hernandez-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras-Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Şenel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, Maria Jose Ramírez Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Orduna Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael Ivanitskiy, Michael Starritt, Michael Strube, Michał Swędrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T, Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha S. Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Miłkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima, Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, ZiRui Wang, Ziyi Wu
BIG-bench focuses on tasks that are believed to be beyond the capabilities of current language models.
1 code implementation • LREC 2022 • Jan Philip Wahle, Terry Ruas, Saif M. Mohammad, Bela Gipp
We present an initial analysis focused on the volume of computer science research (e. g., number of papers, authors, research activity), trends in topics of interest, and citation patterns.
1 code implementation • 11 Apr 2022 • Krishnapriya Vishnubhotla, Saif M. Mohammad
Over the last decade, Twitter has emerged as one of the most influential forums for social, political, and health discourse.
2 code implementations • 10 Oct 2021 • Mohamed Abdalla, Krishnapriya Vishnubhotla, Saif M. Mohammad
We show that human intuition regarding relatedness of sentence pairs is highly reliable, with a repeat annotation correlation of 0. 84.
1 code implementation • CL (ACL) 2022 • Saif M. Mohammad
The objective of the sheet is to facilitate and encourage more thoughtfulness on why to automate, how to automate, and how to judge success well before the building of AER systems.
1 code implementation • 2 Jul 2021 • Saif M. Mohammad
I will also present a template for ethics sheets with 50 ethical considerations, using the task of emotion recognition as a running example.
1 code implementation • ACL 2021 • Rishav Hada, Sohi Sudhir, Pushkar Mishra, Helen Yannakoudakis, Saif M. Mohammad, Ekaterina Shutova
On social media platforms, hateful and offensive language negatively impact the mental well-being of users and the participation of people from diverse backgrounds.
1 code implementation • 1 Mar 2021 • Will E. Hipson, Saif M. Mohammad
In this paper, we introduce a framework to track emotion dynamics through one's utterances.
1 code implementation • 6 Nov 2020 • Saif M. Mohammad
Lexicons of word-emotion associations are widely used in research and real-world applications.
no code implementations • LREC 2020 • Svetlana Kiritchenko, Will E. Hipson, Robert J. Coplan, Saif M. Mohammad
We use SOLO to analyze the language and emotions associated with the state of being alone.
no code implementations • ACL 2020 • Saif M. Mohammad
As part of the NLP Scholar project, we created a single unified dataset of NLP papers and their meta-information (including citation numbers), by extracting and aligning information from the ACL Anthology and Google Scholar.
no code implementations • 25 May 2020 • Saif M. Mohammad
Recent advances in machine learning have led to computer systems that are human-like in behaviour.
no code implementations • ACL 2020 • Saif M. Mohammad
Disparities in authorship and citations across gender can have substantial adverse consequences not just on the disadvantaged genders, but also on the field of study as a whole.
no code implementations • ACL 2020 • Saif M. Mohammad
We extracted information from the ACL Anthology (AA) and Google Scholar (GS) to examine trends in citations of NLP papers.
no code implementations • LREC 2020 • Saif M. Mohammad
We aligned the information in the AA and Google Scholar datasets to create the NLP Scholar Dataset {--} a single unified source of information (from both AA and Google Scholar) for tens of thousands of NLP papers.
no code implementations • LREC 2020 • Saif M. Mohammad
We explore three broad questions with the dataset: (1) what is the degree to which predominant words in these synsets have changed, (2) how do prominent word features such as frequency, length, and concreteness impact natural selection, and (3) what are the differences between the predominant words of the 2000s and the predominant words of early 1800s.
2 code implementations • LREC 2020 • Will E. Hipson, Saif M. Mohammad
We use non-parametric regressions to model developmental differences from early childhood to late-adolescence.
no code implementations • SEMEVAL 2015 • Sara Rosenthal, Saif M. Mohammad, Preslav Nakov, Alan Ritter, Svetlana Kiritchenko, Veselin Stoyanov
In this paper, we describe the 2015 iteration of the SemEval shared task on Sentiment Analysis in Twitter.
no code implementations • 8 Nov 2019 • Saif M. Mohammad
what are we publishing on?
1 code implementation • 19 Aug 2019 • Peter D. Turney, Saif M. Mohammad
We introduce a dataset for studying the evolution of words, constructed from WordNet and the Google Books Ngram Corpus.
no code implementations • WS 2018 • Roman Klinger, Orphée De Clercq, Saif M. Mohammad, Alexandra Balahur
Here, for the first time, we propose a shared task where systems have to predict the emotions in a large automatically labeled dataset of tweets without access to words denoting emotions.
no code implementations • SEMEVAL 2018 • Svetlana Kiritchenko, Saif M. Mohammad
Automatic machine learning systems can inadvertently accentuate and perpetuate inappropriate human biases.
no code implementations • NAACL 2016 • Svetlana Kiritchenko, Saif M. Mohammad
In this paper, we explore sentiment composition in phrases that have at least one positive and at least one negative word---phrases like 'happy accident' and 'best winter break'.
no code implementations • 11 May 2018 • Svetlana Kiritchenko, Saif M. Mohammad, Jason Morin, Berry de Bruijn
Our team, NRC-Canada, participated in two shared tasks at the AMIA-2017 Workshop on Social Media Mining for Health Applications (SMM4H): Task 1 - classification of tweets mentioning adverse drug reactions, and Task 2 - classification of tweets describing personal medication intake.
no code implementations • ACL 2017 • Svetlana Kiritchenko, Saif M. Mohammad
Rating scales are a widely used method for data annotation; however, they present several challenges, such as difficulty in maintaining inter- and intra-annotator consistency.
no code implementations • 5 Dec 2017 • Svetlana Kiritchenko, Saif M. Mohammad
Access to word-sentiment associations is useful for many applications, including sentiment analysis, stance detection, and linguistic analysis.
no code implementations • WS 2016 • Svetlana Kiritchenko, Saif M. Mohammad
Using phrasal terms in the created dataset, we analyze the impact of individual modifiers and the average effect of the groups of modifiers on overall sentiment.
1 code implementation • SEMEVAL 2017 • Saif M. Mohammad, Felipe Bravo-Marquez
This paper examines the task of detecting intensity of emotion from text.
no code implementations • WS 2017 • Saif M. Mohammad, Felipe Bravo-Marquez
We present the first shared task on detecting the intensity of emotion felt by the speaker of a tweet.
no code implementations • 28 Apr 2017 • Saif M. Mohammad
We also compare the entries in AIL with the entries in the NRC VAD Lexicon, which has valence, arousal, and dominance (VAD) scores for 20K English words.
no code implementations • 5 May 2016 • Saif M. Mohammad, Parinaz Sobhani, Svetlana Kiritchenko
However, a person may express the same stance towards a target by using negative or positive language.
no code implementations • WS 2014 • Hannah Davis, Saif M. Mohammad
We present a system, TransProse, that automatically generates musical pieces from text.
no code implementations • 4 Feb 2014 • Vahed Qazvinian, Dragomir R. Radev, Saif M. Mohammad, Bonnie Dorr, David Zajic, Michael Whidby, Taesun Moon
Researchers and scientists increasingly find themselves in the position of having to quickly understand large amounts of technical material.
1 code implementation • 31 Jan 2014 • Peter D. Turney, Saif M. Mohammad
Two general strategies for RLE have been proposed: One strategy is to manually construct an asymmetric similarity measure for context vectors (directional similarity) and another is to treat RLE as a problem of learning to recognize semantic relations using supervised machine learning techniques (relation classification).
no code implementations • 5 Nov 2013 • Saif M. Mohammad, Svetlana Kiritchenko, Joel Martin
Finally, we show that resources developed for emotion detection are also helpful for detecting purpose.
no code implementations • 24 Sep 2013 • Saif M. Mohammad, Tony, Yang
With the widespread use of email, we now have access to unprecedented amounts of text that we ourselves have written.
no code implementations • 24 Sep 2013 • Saif M. Mohammad, Svetlana Kiritchenko
Past work on personality detection has shown that frequency of lexical categories such as first person pronouns, past tense verbs, and sentiment words have significant correlations with personality traits.
no code implementations • 20 Sep 2013 • Saif M. Mohammad
Colour is a key component in the successful dissemination of information.
1 code implementation • SEMEVAL 2013 • Saif M. Mohammad, Svetlana Kiritchenko, Xiaodan Zhu
In this paper, we describe how we created two state-of-the-art SVM classifiers, one to detect the sentiment of messages such as tweets and SMS (message-level task) and one to detect the sentiment of a term within a submissions stood first in both tasks on tweets, obtaining an F-score of 69. 02 in the message-level task and 88. 93 in the term-level task.
no code implementations • CL 2013 • Saif M. Mohammad, Bonnie J. Dorr, Graeme Hirst, Peter D. Turney
We then present an automatic and empirical measure of lexical contrast that relies on the contrast hypothesis, corpus statistics, and the structure of a {\it Roget}-like thesaurus.
no code implementations • 28 Aug 2013 • Saif M. Mohammad, Peter D. Turney
Even though considerable attention has been given to the polarity of words (positive and negative) and the creation of large polarity lexicons, research in emotion analysis has had to rely on limited and small emotion lexicons.
no code implementations • 8 Mar 2012 • Saif M. Mohammad, Graeme Hirst
The ability to mimic human notions of semantic distance has widespread applications.