🧑‍🔬 Who cites Rebecca Bruce

192 citations of their works from 182 papers of our library (of the 141,840 whose bibliographies we read) · 29 with a page here, the most cited first · ← Rebecca Bruce

Lexicon-Based Methods for Sentiment AnalysisComputational LinguisticsMaite Taboada, Julian Brooke, Milan Tofiloski, et al.2011 · 3,563 citations
Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of ReviewsAnnual Meeting of the Association for Computational Linguistics (ACL)Peter Turney2002 · 2,831 citations
Opinion Word Expansion and Target Extraction through Double PropagationComputational LinguisticsGuang Qiu, Bing Liu, Jiajun Bu, et al.2011 · 1,197 citations
Robust Sentiment Detection on Twitter from Biased and Noisy DataInternational Conference on Computational Linguistics (COLING)Luciano Barbosa, Junlan Feng2010 · 954 citations
1. Building a Discourse-Tagged Corpus in the Framework of Rhetorical Structure TheoryLynn Carlson, Daniel Marcu, Mary Ellen Okurovsky2001 · 912 citations
   Learning Subjective LanguageComputational LinguisticsJanyce Wiebe, Theresa Wilson, Rebecca Bruce, et al.2004 · 861 citations
   Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment AnalysisComputational LinguisticsTheresa Wilson, Janyce Wiebe, Paul Hoffmann2009 · 824 citations
   Effects of Adjective Orientation and Gradability on Sentence SubjectivityInternational Conference on Computational Linguistics (COLING)Vasileios Hatzivassiloglou, Janyce M. Wiebe2000 · 746 citations
   Learning subjective nouns using extraction pattern bootstrappingConference on Computational Natural Language Learning (CoNLL)Ellen Riloff, Janyce Wiebe, Theresa Wilson2003 · 580 citations
   Extracting Opinions, Opinion Holders, and Topics Expressed in Online News Media TextWorkshop on Sentiment and Subjectivity in TextSoo-Min Kim, Eduard Hovy2006 · 560 citations
   Linguistic Models for Analyzing and Detecting Biased LanguageAnnual Meeting of the Association for Computational Linguistics (ACL)Marta Recasens, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky2013 · 394 citations
   Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Rion Snow, Brendan O'Connor, Daniel Jurafsky, et al.2008 · 392 citations
   Political Ideology Detection Using Recursive Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Mohit Iyyer, Peter Enns, Jordan Boyd-Graber, et al.2014 · 369 citations
   The Media Frames Corpus: Annotations of Frames Across IssuesAnnual Meeting of the Association for Computational Linguistics (ACL)Dallas Card, Amber E. Boydstun, Justin H. Gross, et al.2015 · 359 citations
   Weakly Supervised Learning for Hedge Classification in Scientific LiteratureAnnual Meeting of the Association for Computational Linguistics (ACL)Ben Medlock, Ted Briscoe2007 · 266 citations
   Learning to Classify Email into “Speech Acts”Conference on Empirical Methods in Natural Language Processing (EMNLP)William W. Cohen, Vitor R. Carvalho, Tom M. Mitchell2004 · 264 citations
   Synthetic Data Generation with Large Language Models for Text Classification: Potential and LimitationsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.2023 · 242 citations
   Irony and Sarcasm: Corpus Generation and Analysis Using CrowdsourcingLanguage Resources and Evaluation Conference (LREC)Elena Filatova2012 · 238 citations
   Modality and Negation: An Introduction to the Special IssueComputational LinguisticsRoser Morante, Caroline Sporleder2012 · 205 citations
   Semi-Supervised Recognition of Sarcasm in Twitter and AmazonConference on Computational Natural Language Learning (CoNLL)Dmitry Davidov, Oren Tsur, Ari Rappoport2010 · 199 citations
   Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion SentencesConference on Empirical Methods in Natural Language Processing (EMNLP)Hong Yu, Vasileios Hatzivassiloglou2003 · 174 citations
   Emotions from Text: Machine Learning for Text-based Emotion PredictionHuman Language Technology Conference (HLT)Cecilia Ovesdotter Alm, Dan Roth, Richard Sproat2005 · 160 citations
   Hedge Classification in Biomedical Texts with a Weakly Supervised Selection of KeywordsAnnual Meeting of the Association for Computational Linguistics (ACL)György Szarvas2008 · 107 citations
   Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Lotem Peled, Roi Reichart2017 · 95 citations
   Automatic Committed Belief TaggingInternational Conference on Computational Linguistics (COLING)Vinodkumar Prabhakaran, Owen Rambow, Mona Diab2010 · 83 citations
   How Do Cultural Differences Impact the Quality of Sarcasm Annotation?: A Case Study of Indian Annotators and American TextSIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and HumanitiesAditya Joshi, Pushpak Bhattacharyya, Mark Carman, et al.2016 · 46 citations
   Annotating Attribution in the Penn Discourse TreeBankWorkshop on Sentiment and Subjectivity in TextRashmi Prasad, Nikhil Dinesh, Alan Lee, et al.2006 · 46 citations
2. Really? Well. Apparently Bootstrapping Improves the Performance of Sarcasm and Nastiness Classifiers for Online DialogueProceedings of the Workshop on Language Analysis in Social MediaStephanie Lukin, Marilyn Walker2013 · 31 citations
   A Corpus for Sentence-Level Subjectivity Detection on English News ArticlesLanguage Resources and Evaluation Conference (LREC)Francesco Antici, Federico Ruggeri, Andrea Galassi, et al.2024 · 10 citations

153 more citing papers of our library have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/rebecca-bruce/cited-by/