Svetlana Kiritchenko

Isar Nejadgholi

CoRR, 2020

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

[BibT_eX]

[DOI]

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

On Cross-Dataset Generalization in Automatic Detection of Online Abuse.

[BibT_eX]

[DOI]

Isar Nejadgholi

Proceedings of the Fourth Workshop on Online Abuse and Harms, 2020

2019

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

[BibT_eX]

[DOI]

Shima Asaadi

Graciela Gonzalez-Hernandez

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

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.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2018

Agree or Disagree: Predicting Judgments on Nuanced Assertions.

[BibT_eX]

[DOI]

Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems.

[BibT_eX]

[DOI]

Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

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

[BibT_eX]

[DOI]

Habibeh Naderi

Behrouz Haji Soleimani

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

SemEval-2018 Task 1: Affect in Tweets.

[BibT_eX]

[DOI]

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Quantifying Qualitative Data for Understanding Controversial Issues.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

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

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

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

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

2017

Stance and Sentiment in Tweets.

[BibT_eX]

[DOI]

Parinaz Sobhani

ACM Trans. Internet Techn., 2017

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

[BibT_eX]

[DOI]

Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), 2017

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

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts.

[BibT_eX]

[DOI]

Lang. Resour. Evaluation, 2016

How Translation Alters Sentiment.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2016

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

[BibT_eX]

[DOI]

Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, 2016

Detecting Stance in Tweets And Analyzing its Interaction with Sentiment.

[BibT_eX]

[DOI]

Parinaz Sobhani

Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics, 2016

SemEval-2016 Task 6: Detecting Stance in Tweets.

[BibT_eX]

[DOI]

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

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

[BibT_eX]

[DOI]

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Sentiment Composition of Words with Opposing Polarities.

[BibT_eX]

[DOI]

Proceedings of the NAACL HLT 2016, 2016

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

[BibT_eX]

[DOI]

Proceedings of the NAACL HLT 2016, 2016

Sentiment Lexicons for Arabic Social Media.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

A Dataset for Detecting Stance in Tweets.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

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

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

2015

Sentiment, emotion, purpose, and style in electoral tweets.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2015

Using Hashtags to Capture Fine Emotion Categories from Tweets.

[BibT_eX]

[DOI]

Comput. Intell., 2015

SemEval-2015 Task 10: Sentiment Analysis in Twitter.

[BibT_eX]

[DOI]

Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

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

[BibT_eX]

[DOI]

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014

Sentiment Analysis of Short Informal Texts.

[BibT_eX]

[DOI]

Xiaodan Zhu

J. Artif. Intell. Res., 2014

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

[BibT_eX]

[DOI]

Xiaodan Zhu

Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

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

[BibT_eX]

[DOI]

Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

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

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Detecting concept relations in clinical text: Insights from a state-of-the-art model.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2013

Using Nuances of Emotion to Identify Personality.

[BibT_eX]

[DOI]

CoRR, 2013

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

[BibT_eX]

[DOI]

Xiaodan Zhu

Proceedings of the 7th International Workshop on Semantic Evaluation, 2013

Identifying purpose behind electoral tweets.

[BibT_eX]

[DOI]

Joel D. Martin

Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining, 2013

2011

Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2011

Email classification with co-training.

[BibT_eX]

[DOI]

Proceedings of the Center for Advanced Studies on Collaborative Research, 2011

Lexically-Triggered Hidden Markov Models for Clinical Document Coding.

[BibT_eX]

[DOI]

Colin Cherry

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

ExaCT: automatic extraction of clinical trial characteristics from journal publications.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2010

2008

Keyword Optimization in Sponsored Search via Feature Selection.

[BibT_eX]

[DOI]

Mikhail Jiline

Proceedings of the Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, 2008

Automated Information Extraction of Key Trial Design Elements from Clinical Trial Publications.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2008, 2008

2006

Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2006

2004

Email Classification with Temporal Features.

[BibT_eX]

Suhayya Abu-Hakima

Proceedings of the Intelligent Information Processing and Web Mining, 2004

2002

Generalized Features: Their Application to Classification.

[BibT_eX]

[DOI]