---
title: "Who cites Rebecca Bruce — 182 papers of our library"
description: "182 papers of the Elamur Research library cite the works of Rebecca Bruce, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/rebecca-bruce/cited-by/"
---
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# 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](https://md.research.elamur.ai/free/en/authors/rebecca-bruce/)

1. **[Lexicon-Based Methods for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/taboada-2011-lexicon-based-methods-sentiment-analysis/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Maite Taboada, Julian Brooke, Milan Tofiloski, et al.*2011 · 3,563 citations*
2. **[Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews](https://md.research.elamur.ai/free/en/papers/turney-2002-thumbs-up-or-thumbs-down/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peter Turney*2002 · 2,831 citations*
3. **[Opinion Word Expansion and Target Extraction through Double Propagation](https://md.research.elamur.ai/free/en/papers/qiu-2011-opinion-word-expansion-target-extraction/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Guang Qiu, Bing Liu, Jiajun Bu, et al.*2011 · 1,197 citations*
4. **[Robust Sentiment Detection on Twitter from Biased and Noisy Data](https://md.research.elamur.ai/free/en/papers/barbosa-2010-robust-sentiment-detection-twitter-biased/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Luciano Barbosa, Junlan Feng*2010 · 954 citations*
5. [**Building a Discourse-Tagged Corpus in the Framework of Rhetorical Structure Theory**Lynn Carlson, Daniel Marcu, Mary Ellen Okurovsky*2001 · 912 citations*](https://md.research.elamur.ai/free/en/papers/carlson-2001-building-discourse-tagged-corpus-framework/)
6. **[Learning Subjective Language](https://md.research.elamur.ai/free/en/papers/wiebe-2004-learning-subjective-language/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Janyce Wiebe, Theresa Wilson, Rebecca Bruce, et al.*2004 · 861 citations*
7. **[Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/wilson-2009-recognizing-contextual-polarity-exploration-features/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Theresa Wilson, Janyce Wiebe, Paul Hoffmann*2009 · 824 citations*
8. **[Effects of Adjective Orientation and Gradability on Sentence Subjectivity](https://md.research.elamur.ai/free/en/papers/hatzivassiloglou-2000-effects-adjective-orientation-gradability-sentence/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Vasileios Hatzivassiloglou, Janyce M. Wiebe*2000 · 746 citations*
9. **[Learning subjective nouns using extraction pattern bootstrapping](https://md.research.elamur.ai/free/en/papers/riloff-2003-learning-subjective-nouns-extraction-pattern/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Ellen Riloff, Janyce Wiebe, Theresa Wilson*2003 · 580 citations*
10. **[Extracting Opinions, Opinion Holders, and Topics Expressed in Online News Media Text](https://md.research.elamur.ai/free/en/papers/kim-2006-extracting-opinions-opinion-holders-topics/) [Workshop on Sentiment and Subjectivity in Text](https://md.research.elamur.ai/free/en/venues/workshop-on-sentiment-and-subjectivity-in-text/)**Soo-Min Kim, Eduard Hovy*2006 · 560 citations*
11. **[Linguistic Models for Analyzing and Detecting Biased Language](https://md.research.elamur.ai/free/en/papers/recasens-2013-linguistic-models-analyzing-detecting-biased/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Marta Recasens, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky*2013 · 394 citations*
12. **[Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks](https://md.research.elamur.ai/free/en/papers/snow-2008-cheap-fast-but-is-it/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Rion Snow, Brendan O'Connor, Daniel Jurafsky, et al.*2008 · 392 citations*
13. **[Political Ideology Detection Using Recursive Neural Networks](https://md.research.elamur.ai/free/en/papers/iyyer-2014-political-ideology-detection-recursive-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mohit Iyyer, Peter Enns, Jordan Boyd-Graber, et al.*2014 · 369 citations*
14. **[The Media Frames Corpus: Annotations of Frames Across Issues](https://md.research.elamur.ai/free/en/papers/card-2015-media-frames-corpus-annotations-frames/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dallas Card, Amber E. Boydstun, Justin H. Gross, et al.*2015 · 359 citations*
15. **[Weakly Supervised Learning for Hedge Classification in Scientific Literature](https://md.research.elamur.ai/free/en/papers/medlock-2007-weakly-supervised-learning-hedge-classification/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ben Medlock, Ted Briscoe*2007 · 266 citations*
16. **[Learning to Classify Email into “Speech Acts”](https://md.research.elamur.ai/free/en/papers/cohen-2004-learning-classify-email-into-speech/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**William W. Cohen, Vitor R. Carvalho, Tom M. Mitchell*2004 · 264 citations*
17. **[Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations](https://md.research.elamur.ai/free/en/papers/li-2023-synthetic-data-generation-large-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.*2023 · 242 citations*
18. **[Irony and Sarcasm: Corpus Generation and Analysis Using Crowdsourcing](https://md.research.elamur.ai/free/en/papers/filatova-2012-irony-sarcasm-corpus-generation-analysis/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Elena Filatova*2012 · 238 citations*
19. **[Modality and Negation: An Introduction to the Special Issue](https://md.research.elamur.ai/free/en/papers/morante-2012-modality-negation-introduction-special-issue/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Roser Morante, Caroline Sporleder*2012 · 205 citations*
20. **[Semi-Supervised Recognition of Sarcasm in Twitter and Amazon](https://md.research.elamur.ai/free/en/papers/davidov-2010-semi-supervised-recognition-sarcasm-twitter/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Dmitry Davidov, Oren Tsur, Ari Rappoport*2010 · 199 citations*
21. **[Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences](https://md.research.elamur.ai/free/en/papers/yu-2003-answering-opinion-questions-separating-facts/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hong Yu, Vasileios Hatzivassiloglou*2003 · 174 citations*
22. **[Emotions from Text: Machine Learning for Text-based Emotion Prediction](https://md.research.elamur.ai/free/en/papers/alm-2005-emotions-text-machine-learning-text/) [Human Language Technology Conference (HLT)](https://md.research.elamur.ai/free/en/venues/hlt/)**Cecilia Ovesdotter Alm, Dan Roth, Richard Sproat*2005 · 160 citations*
23. **[Hedge Classification in Biomedical Texts with a Weakly Supervised Selection of Keywords](https://md.research.elamur.ai/free/en/papers/szarvas-2008-hedge-classification-biomedical-texts-weakly/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**György Szarvas*2008 · 107 citations*
24. **[Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation](https://md.research.elamur.ai/free/en/papers/peled-2017-sarcasm-sign-interpreting-sarcasm-sentiment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lotem Peled, Roi Reichart*2017 · 95 citations*
25. **[Automatic Committed Belief Tagging](https://md.research.elamur.ai/free/en/papers/prabhakaran-2010-automatic-committed-belief-tagging/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Vinodkumar Prabhakaran, Owen Rambow, Mona Diab*2010 · 83 citations*
26. **[How Do Cultural Differences Impact the Quality of Sarcasm Annotation?: A Case Study of Indian Annotators and American Text](https://md.research.elamur.ai/free/en/papers/joshi-2016-how-do-cultural-differences-impact/) [SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities](https://md.research.elamur.ai/free/en/venues/sighum-workshop-on-language-technology-for-cultural-heritage-social-sciences-and/)**Aditya Joshi, Pushpak Bhattacharyya, Mark Carman, et al.*2016 · 46 citations*
27. **[Annotating Attribution in the Penn Discourse TreeBank](https://md.research.elamur.ai/free/en/papers/prasad-2006-annotating-attribution-penn-discourse-treebank/) [Workshop on Sentiment and Subjectivity in Text](https://md.research.elamur.ai/free/en/venues/workshop-on-sentiment-and-subjectivity-in-text/)**Rashmi Prasad, Nikhil Dinesh, Alan Lee, et al.*2006 · 46 citations*
28. [**Really? Well. Apparently Bootstrapping Improves the Performance of Sarcasm and Nastiness Classifiers for Online Dialogue Proceedings of the Workshop on Language Analysis in Social Media**Stephanie Lukin, Marilyn Walker*2013 · 31 citations*](https://md.research.elamur.ai/free/en/papers/lukin-2013-really-well-apparently-bootstrapping-improves/)
29. **[A Corpus for Sentence-Level Subjectivity Detection on English News Articles](https://md.research.elamur.ai/free/en/papers/antici-2024-corpus-sentence-level-subjectivity-detection/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Francesco Antici, Federico Ruggeri, Andrea Galassi, et al.*2024 · 10 citations*

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

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