---
title: "The University of Tokyo — works"
description: "31 works by researchers of The University of Tokyo in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/universities/the-university-of-tokyo/works/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/universities/the-university-of-tokyo/works/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [universities](https://md.research.elamur.ai/free/en/universities/) / [The University of Tokyo](https://md.research.elamur.ai/free/en/universities/the-university-of-tokyo/) / works

# Works of The University of Tokyo

31 works · the most cited first · [← The University of Tokyo](https://md.research.elamur.ai/free/en/universities/the-university-of-tokyo/)

1. [**brat: a Web-based Tool for NLP-Assisted Text Annotation**Pontus Stenetorp, Sampo Pyysalo, Goran Topić, et al.*2012 · 1,368 citations*](https://md.research.elamur.ai/free/en/papers/stenetorp-2012-brat-web-based-tool-nlp/)
2. [**Overview of BioNLP'09 Shared Task on Event Extraction**Jin-Dong Kim, Tomoko Ohta, Sampo Pyysalo, et al.*2009 · 735 citations*](https://md.research.elamur.ai/free/en/papers/kim-2009-overview-bionlp-09-shared-task/)
3. [**Introduction to the Bio-entity Recognition Task at JNLPBA**Nigel Collier, Tomoko Ohta, Yoshimasa Tsuruoka, et al.*2004 · 731 citations*](https://md.research.elamur.ai/free/en/papers/collier-2004-introduction-bio-entity-recognition-task/)
4. [**A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks**Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, et al.*2016 · 666 citations*](https://md.research.elamur.ai/free/en/papers/hashimoto-2016-joint-many-task-model-growing/)
5. [**How Powerful are Graph Neural Networks?**Keyulu Xu, Weihua Hu, Jure Leskovec, et al.*2018 · 591 citations*](https://md.research.elamur.ai/free/en/papers/xu-2018-powerful-graph-neural-networks/)
6. [**Findings of the 2020 Conference on Machine Translation (WMT20)**Loïc Barrault, Magdalena Biesialska, Ondřej Bojar, et al.*2020 · 401 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2020-findings-2020-conference-machine-translation/)
7. [**Probabilistic CFG with Latent Annotations**Takuya Matsuzaki, Yusuke Miyao, Jun'ichi Tsujii*2005 · 375 citations*](https://md.research.elamur.ai/free/en/papers/matsuzaki-2005-probabilistic-cfg-latent-annotations/)
8. [**HILDA: A Discourse Parser Using Support Vector Machine Classification**Hugo Hernault, Helmut Prendinger, David A. du Verle, et al.*2010 · 353 citations*](https://md.research.elamur.ai/free/en/papers/hernault-2010-hilda-discourse-parser-support-vector/)
9. [**Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't.**Anna Gladkova, Aleksandr Drozd, Satoshi Matsuoka*2016 · 311 citations*](https://md.research.elamur.ai/free/en/papers/gladkova-2016-analogy-based-detection-morphological-semantic/)
10. [**Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles**Kenji Sagae, Jun'ichi Tsujii*2007 · 311 citations*](https://md.research.elamur.ai/free/en/papers/sagae-2007-dependency-parsing-domain-adaptation-lr/)
11. [**Feature Forest Models for Probabilistic HPSG Parsing**Yusuke Miyao, Jun'ichi Tsujii*2008 · 279 citations*](https://md.research.elamur.ai/free/en/papers/miyao-2008-feature-forest-models-probabilistic-hpsg/)
12. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
13. [**Learning to Parse and Translate Improves Neural Machine Translation**Akiko Eriguchi, Yoshimasa Tsuruoka, Kyunghyun Cho*2017 · 214 citations*](https://md.research.elamur.ai/free/en/papers/eriguchi-2017-learning-parse-translate-improves-neural/)
14. [**A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation**David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al.*2022 · 155 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2022-few-thousand-translations-go-long/)
15. [**Probabilistic Disambiguation Models for Wide-Coverage HPSG Parsing**Yusuke Miyao, Jun'ichi Tsujii*2005 · 153 citations*](https://md.research.elamur.ai/free/en/papers/miyao-2005-probabilistic-disambiguation-models-wide-coverage/)
16. [**Deep contextualized word representations for detecting sarcasm and irony**Suzana Ilić, Edison Marrese-Taylor, Jorge Balazs, et al.*2018 · 141 citations*](https://md.research.elamur.ai/free/en/papers/ilic-2018-deep-contextualized-word-representations-detecting/)
17. [**Task-oriented Evaluation of Syntactic Parsers and Their Representations**Yusuke Miyao, Rune Sætre, Kenji Sagae, et al.*2008 · 129 citations*](https://md.research.elamur.ai/free/en/papers/miyao-2008-task-oriented-evaluation-syntactic-parsers/)
18. [**A Fully-Lexicalized Probabilistic Model for Japanese Zero Anaphora Resolution**Ryohei Sasano, Daisuke Kawahara, Sadao Kurohashi*2008 · 63 citations*](https://md.research.elamur.ai/free/en/papers/sasano-2008-fully-lexicalized-probabilistic-model-japanese/)
19. [**A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension**Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuka*2010 · 52 citations*](https://md.research.elamur.ai/free/en/papers/hernault-2010-semi-supervised-approach-improve-classification/)
20. [**Universal Dependencies Version 2 for Japanese**Masayuki Asahara, Hiroshi Kanayama, Takaaki Tanaka, et al.*2018 · 50 citations*](https://md.research.elamur.ai/free/en/papers/asahara-2018-universal-dependencies-version-2-japanese/)
21. [**A Comparative Study on Generalization of Semantic Roles in FrameNet**Yuichiroh Matsubayashi, Naoaki Okazaki, Jun'ichi Tsujii*2009 · 39 citations*](https://md.research.elamur.ai/free/en/papers/matsubayashi-2009-comparative-study-generalization-semantic-roles/)
22. [**Overview of BioNLP 2011 Protein Coreference Shared Task**Ngan Nguyen, Jin-Dong Kim, Jun'ichi Tsujii*2011 · 32 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2011-overview-bionlp-2011-protein-coreference/)
23. [**Maintaining Common Ground in Dynamic Environments**Takuma Udagawa, Akiko Aizawa*2021 · 13 citations*](https://md.research.elamur.ai/free/en/papers/udagawa-2021-maintaining-common-ground-dynamic-environments/)
24. [**Effective Use of Function Words for Rule Generalization in Forest-Based Translation**Xianchao Wu, Takuya Matsuzaki, Jun'ichi Tsujii*2011 · 13 citations*](https://md.research.elamur.ai/free/en/papers/wu-2011-effective-use-function-words-rule/)
25. [**Descriptive and Empirical Approaches to Capturing Underlying Dependencies among Parsing Errors**Tadayoshi Hara, Yusuke Miyao, Jun'ichi Tsujii*2009 · 11 citations*](https://md.research.elamur.ai/free/en/papers/hara-2009-descriptive-empirical-approaches-capturing-underlying/)
26. [**A POS Tagging Model Designed for Learner English**Ryo Nagata, Tomoya Mizumoto, Yuta Kikuchi, et al.*2018 · 11 citations*](https://md.research.elamur.ai/free/en/papers/nagata-2018-pos-tagging-model-adapted-learner/)
27. [**Exploring Difficulties in Parsing Imperatives and Questions**Tadayoshi Hara, Takuya Matsuzaki, Yusuke Miyao, et al.*2011 · 6 citations*](https://md.research.elamur.ai/free/en/papers/hara-2011-exploring-difficulties-parsing-imperatives-questions/)
28. [**Effective Analysis of Causes and Inter-dependencies of Parsing Errors**Tadayoshi Hara, Yusuke Miyao, Jun'ichi Tsujii*2009 · 3 citations*](https://md.research.elamur.ai/free/en/papers/hara-2009-effective-analysis-causes-inter-dependencies/)
29. [**An Existence Proof for Neural Language Models That Can Explain Garden-Path Effects via Surprisal**Ryo Yoshida, Shinnosuke Isono, Taiga Someya, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yoshida-2026-existence-proof-neural-language-models/)
30. [**Rethinking the Relationship between the Power Law and Hierarchical Structures**Kai Nakaishi, Ryo Yoshida, Kohei Kajikawa, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nakaishi-2026-rethinking-relationship-between-power-law/)
31. [**DialogueSidon: Recovering Full-Duplex Dialogue Tracks from In-the-Wild Dialogue Audio**Wataru Nakata, Yuki Saito, Kazuki Yamauchi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nakata-2026-dialoguesidon-recovering-full-duplex-dialogue/)
- [← back to](https://md.research.elamur.ai/free/en/universities/the-university-of-tokyo/) — The University of Tokyo