---
title: "Ottawa — works of 2017: 7 papers, the most cited first"
description: "7 works of Ottawa from 2017 in our library, the most cited first. Among them: Findings of the 2017 Conference on Machine Translation…"
canonical: "https://research.elamur.ai/free/en/agglomerations/ottawa/year/2017/"
---
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# Works of Ottawa from 2017

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

1. **[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*
2. **[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*
3. **[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*
4. **[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*
5. [**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/)
6. **[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*
7. [**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/)
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