---
title: "Greater Tokyo — works of 2020: 9 papers, the most cited first"
description: "9 works of Greater Tokyo from 2020 in our library, the most cited first. Among them: Constructing A Multi-hop QA Dataset for Comprehensive…"
canonical: "https://research.elamur.ai/free/en/agglomerations/greater-tokyo/year/2020/"
---
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[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [agglomerations](https://md.research.elamur.ai/free/en/agglomerations/) / [Greater Tokyo](https://md.research.elamur.ai/free/en/agglomerations/greater-tokyo/) / 2020

# Works of Greater Tokyo from 2020

9 works · the most cited first · [← Greater Tokyo](https://md.research.elamur.ai/free/en/agglomerations/greater-tokyo/)

1. **[Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps](https://md.research.elamur.ai/free/en/papers/ho-2020-constructing-multi-hop-qa-dataset/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, et al.*2020 · 735 citations*
2. **[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*
3. **[CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters](https://md.research.elamur.ai/free/en/papers/boukkouri-2020-characterbert-reconciling-elmo-bert-word/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne, et al.*2020 · 204 citations*
4. **[DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks](https://md.research.elamur.ai/free/en/papers/ding-2020-daga-data-augmentation-generation-approach/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bosheng Ding, Linlin Liu, Lidong Bing, et al.*2020 · 203 citations*
5. **[English Recipe Flow Graph Corpus](https://md.research.elamur.ai/free/en/papers/yamakata-2020-english-recipe-flow-graph-corpus/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yoko Yamakata, Shinsuke Mori, John Carroll*2020 · 32 citations*
6. **[Taking the Correction Difficulty into Account in Grammatical Error Correction Evaluation](https://md.research.elamur.ai/free/en/papers/gotou-2020-taking-correction-difficulty-into-account/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Takumi Gotou, Ryo Nagata, Masato Mita, et al.*2020 · 23 citations*
7. **[An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/konno-2020-empirical-study-contextual-data-augmentation/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Ryuto Konno, Yuichiroh Matsubayashi, Shun Kiyono, et al.*2020 · 9 citations*
8. **[An Evaluation Dataset for Identifying Communicative Functions of Sentences in English Scholarly Papers](https://md.research.elamur.ai/free/en/papers/iwatsuki-2020-evaluation-dataset-identifying-communicative-functions/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kenichi Iwatsuki, Florian Boudin, Akiko Aizawa*2020 · 8 citations*
9. **[A Large-Scale Corpus of E-mail Conversations with Standard and Two-Level Dialogue Act Annotations](https://md.research.elamur.ai/free/en/papers/taniguchi-2020-large-scale-corpus-e-mail/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Motoki Taniguchi, Yoshihiro Ueda, Tomoki Taniguchi, et al.*2020 · 6 citations*
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