---
title: "Ottawa — works: 49 in our library, the most cited first"
description: "Works of Ottawa: 49 in our library, the most cited first. Among them: From Frequency to Meaning: Vector Space Models of Semantics Journal…"
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---
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# Works of Ottawa

49 · the most cited first · [← Ottawa](https://md.research.elamur.ai/free/en/agglomerations/ottawa/)

1. **[From Frequency to Meaning: Vector Space Models of Semantics](https://md.research.elamur.ai/free/en/papers/turney-2010-frequency-meaning-vector-space-models/) [Journal of Artificial Intelligence Research](https://md.research.elamur.ai/free/en/venues/journal-of-artificial-intelligence-research/)**Peter D. Turney, Patrick Pantel*2010 · 3,430 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. **[SemEval-2016 Task 6: Detecting Stance in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2016-semeval-2016-task-6-detecting/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Saif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, et al.*2016 · 1,199 citations*
4. **[SemEval-2018 Task 1: Affect in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2018-semeval-2018-task-1-affect/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, et al.*2018 · 1,094 citations*
5. **[Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon](https://md.research.elamur.ai/free/en/papers/mohammad-2010-emotions-evoked-common-words-phrases/) [NAACL HLT Workshop on Computational Approaches to Analysis and Generation of Emotion in Text](https://md.research.elamur.ai/free/en/venues/naacl-hlt-workshop-on-computational-approaches-to-analysis-and-generation-of/)**Saif Mohammad, Peter Turney*2010 · 1,010 citations*
6. **[Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words](https://md.research.elamur.ai/free/en/papers/mohammad-2018-obtaining-reliable-human-ratings-valence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Saif Mohammad*2018 · 800 citations*
7. **[NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews](https://md.research.elamur.ai/free/en/papers/kiritchenko-2014-nrc-canada-2014-detecting-aspects/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Svetlana Kiritchenko, Xiaodan Zhu, Colin Cherry, et al.*2014 · 789 citations*
8. **[Data-Driven Response Generation in Social Media](https://md.research.elamur.ai/free/en/papers/ritter-2011-data-driven-response-generation-social/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alan Ritter, Colin Cherry, William B. Dolan*2011 · 701 citations*
9. **[Findings of the 2017 Conference on Machine Translation (WMT17)](https://md.research.elamur.ai/free/en/papers/bojar-2017-findings-2017-conference-machine-translation/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2017 · 689 citations*
10. **[Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems](https://md.research.elamur.ai/free/en/papers/kiritchenko-2018-examining-gender-race-bias-two/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Svetlana Kiritchenko, Saif Mohammad*2018 · 574 citations*
11. **[Unsupervised Modeling of Twitter Conversations](https://md.research.elamur.ai/free/en/papers/ritter-2010-unsupervised-modeling-twitter-conversations/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Alan Ritter, Colin Cherry, Bill Dolan*2010 · 561 citations*
12. **[Batch Tuning Strategies for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/cherry-2012-batch-tuning-strategies-statistical-machine/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Colin Cherry, George Foster*2012 · 549 citations*
13. **[Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree](https://md.research.elamur.ai/free/en/papers/sun-2019-aspect-level-sentiment-analysis-convolution/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kai Sun, Richong Zhang, Samuel Mensah, et al.*2019 · 498 citations*
14. **[SemEval-2015 Task 10: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/rosenthal-2015-semeval-2015-task-10-sentiment/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, et al.*2015 · 492 citations*
15. **[Findings of the 2020 Conference on Machine Translation (WMT20)](https://md.research.elamur.ai/free/en/papers/barrault-2020-findings-2020-conference-machine-translation/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Loïc Barrault, Magdalena Biesialska, Ondřej Bojar, et al.*2020 · 401 citations*
16. **[Mixture-Model Adaptation for SMT](https://md.research.elamur.ai/free/en/papers/foster-2007-mixture-model-adaptation-smt/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**George Foster, Roland Kuhn*2007 · 398 citations*
17. **[Literal and Metaphorical Sense Identification through Concrete and Abstract Context](https://md.research.elamur.ai/free/en/papers/turney-2011-literal-metaphorical-sense-identification-through/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Peter Turney, Yair Neuman, Dan Assaf, et al.*2011 · 394 citations*
18. **[WASSA-2017 Shared Task on Emotion Intensity](https://md.research.elamur.ai/free/en/papers/mohammad-2017-wassa-2017-shared-task-emotion/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Saif Mohammad, Felipe Bravo-Marquez*2017 · 369 citations*
19. **[Arabic Preprocessing Schemes for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/habash-2006-arabic-preprocessing-schemes-statistical-machine/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Nizar Habash, Fatiha Sadat*2006 · 359 citations*
20. **[Neural Natural Language Inference Models Enhanced with External Knowledge](https://md.research.elamur.ai/free/en/papers/chen-2018-neural-natural-language-inference-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, et al.*2018 · 314 citations*
21. **[Choosing Transfer Languages for Cross-Lingual Learning](https://md.research.elamur.ai/free/en/papers/lin-2019-choosing-transfer-languages-cross-lingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, et al.*2019 · 314 citations*
22. **[Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/foster-2010-discriminative-instance-weighting-domain-adaptation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**George Foster, Cyril Goutte, Roland Kuhn*2010 · 306 citations*
23. **[Emotion Intensities in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2017-emotion-intensities-tweets/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Saif Mohammad, Felipe Bravo-Marquez*2017 · 290 citations*
24. **[Metaphor as a Medium for Emotion: An Empirical Study](https://md.research.elamur.ai/free/en/papers/mohammad-2016-metaphor-as-medium-emotion-empirical/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Saif Mohammad, Ekaterina Shutova, Peter Turney*2016 · 285 citations*
25. **[A Systematic Comparison of Smoothing Techniques for Sentence-Level BLEU](https://md.research.elamur.ai/free/en/papers/chen-2014-systematic-comparison-smoothing-techniques-sentence/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Boxing Chen, Colin Cherry*2014 · 282 citations*
26. **[Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation](https://md.research.elamur.ai/free/en/papers/kiritchenko-2017-best-worst-scaling-more-reliable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Svetlana Kiritchenko, Saif Mohammad*2017 · 282 citations*
27. **[Similarity of Semantic Relations](https://md.research.elamur.ai/free/en/papers/turney-2006-similarity-semantic-relations/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Peter D. Turney*2006 · 277 citations*
28. [**A Challenge Set Approach to Evaluating Machine Translation**Pierre Isabelle, Colin Cherry, George Foster*2017 · 269 citations*](https://md.research.elamur.ai/free/en/papers/isabelle-2017-challenge-set-approach-evaluating-machine/)
29. [**Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust**Markus Freitag, Ricardo Rei, Nitika Mathur, et al.*2022 · 263 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2022-results-wmt22-metrics-shared-task/)
30. **[SemEval-2012 Task 2: Measuring Degrees of Relational Similarity](https://md.research.elamur.ai/free/en/papers/jurgens-2012-semeval-2012-task-2-measuring/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**David Jurgens, Saif Mohammad, Peter Turney, et al.*2012 · 259 citations*
31. [**Paraphrasing for Style**Wei Xu, Alan Ritter, Bill Dolan, et al.*2012 · 196 citations*](https://md.research.elamur.ai/free/en/papers/xu-2012-paraphrasing-style/)
32. **[A Dataset for Multi-Target Stance Detection](https://md.research.elamur.ai/free/en/papers/sobhani-2017-dataset-multi-target-stance-detection/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Parinaz Sobhani, Diana Inkpen, Xiaodan Zhu*2017 · 190 citations*
33. **[Phrasetable Smoothing for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/foster-2006-phrasetable-smoothing-statistical-machine-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**George Foster, Roland Kuhn, Howard Johnson*2006 · 174 citations*
34. **[Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain](https://md.research.elamur.ai/free/en/papers/freitag-2021-results-wmt21-metrics-shared-task/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Markus Freitag, Ricardo Rei, Nitika Mathur, et al.*2021 · 169 citations*
35. **[P-Stance: A Large Dataset for Stance Detection in Political Domain](https://md.research.elamur.ai/free/en/papers/li-2021-p-stance-large-dataset-stance/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingjie Li, Tiberiu Sosea, Aditya Sawant, et al.*2021 · 169 citations*
36. **[Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/mohammad-2022-ethics-sheet-automatic-emotion-recognition/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Saif M. Mohammad*2022 · 164 citations*
37. **[Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent](https://md.research.elamur.ai/free/en/papers/freitag-2023-results-wmt23-metrics-shared-task/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Markus Freitag, Nitika Mathur, Chi-kiu Lo, et al.*2023 · 155 citations*
38. [**A fine-grained comparison of pragmatic language understanding in humans and language models**Jennifer Hu, Sammy Floyd, Olessia Jouravlev, et al.*2023 · 136 citations*](https://md.research.elamur.ai/free/en/papers/hu-2023-fine-grained-comparison-pragmatic-language/)
39. **[Word Affect Intensities](https://md.research.elamur.ai/free/en/papers/mohammad-2018-word-affect-intensities/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Saif Mohammad*2018 · 114 citations*
40. **[Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/freitag-2024-are-llms-breaking-mt-metrics/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Markus Freitag, Nitika Mathur, Daniel Deutsch, et al.*2024 · 106 citations*
41. **[Measuring Machine Translation Errors in New Domains](https://md.research.elamur.ai/free/en/papers/irvine-2013-measuring-machine-translation-errors-new/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ann Irvine, John Morgan, Marine Carpuat, et al.*2013 · 104 citations*
42. [**MEANT 2.0: Accurate semantic MT evaluation for any output language**Chi-kiu Lo*2017 · 82 citations*](https://md.research.elamur.ai/free/en/papers/lo-2017-meant-2-0-accurate-semantic/)
43. **[Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/teodorescu-2023-evaluating-emotion-arcs-across-languages/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Daniela Teodorescu, Saif Mohammad*2023 · 20 citations*
44. **[Sound change and coarticulatory variability involving English /ɹ/](https://md.research.elamur.ai/free/en/papers/smith-2019-sound-change-coarticulatory-variability-involving/) [Glossa a journal of general linguistics](https://md.research.elamur.ai/free/en/venues/glossa-a-journal-of-general-linguistics/)**Bridget J. Smith, Jeff Mielke, Lyra Magloughlin, et al.*2019 · 18 citations*
45. **[A note on presupposition accommodation](https://md.research.elamur.ai/free/en/papers/katzir-2013-note-presupposition-accommodation/) [Semantics and Pragmatics](https://md.research.elamur.ai/free/en/venues/semantics-and-pragmatics/)**Roni Katzir, Raj Singh*2013 · 11 citations*
46. [**OSN-MDAD: Machine Translation Dataset for Arabic Multi-Dialectal Conversations on Online Social Media arXiv:2309.12137**Fatimah Alzamzami, Abdulmotaleb El Saddik*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/alzamzami-2023-osn-mdad-machine-translation-dataset/)
47. [**Parser combinators for Tigrinya and Oromo morphology**Patrick Littell, Tom McCoy, Na-Rae Han, et al.*2018 · 2 citations*](https://md.research.elamur.ai/free/en/papers/littell-2018-parser-combinators-tigrinya-oromo-morphology/)
48. [**Content-Localization based System for Analyzing Sentiment and Hate Behaviors in Low-Resource Dialectal Arabic: English to Levantine and Gulf arXiv:2312.03727**Fatimah Alzamzami, Abdulmotaleb El Saddik*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alzamzami-2023-content-localization-based-system-analyzing/)
49. [**Content-Localization based Neural Machine Translation for Informal Dialectal Arabic: Spanish/French to Levantine/Gulf Arabic arXiv:2312.06926**Fatimah Alzamzami, Abdulmotaleb El Saddik*2023*](https://md.research.elamur.ai/free/en/papers/alzamzami-2023-content-localization-based-neural-machine/)
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