---
title: "Keihanshin — research institutions and their papers in our library"
description: "Keihanshin (Japan): 9 institutions with papers on Elamur Research — 7 universities, 2 labs and research institutes — and 15,107 citations of…"
canonical: "https://research.elamur.ai/free/en/agglomerations/keihanshin/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/keihanshin/)

[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/) / Keihanshin

# Keihanshin

Agglomeration [Japan](https://md.research.elamur.ai/free/en/countries/japan/) · metro population 17,621,766 (the Osaka [Kyoto] functional urban area, GHSL 2015)

**9** institutions with a page**119** works in our library**15,107** citations of their works

## Institutions (9)

7 universities, 2 labs and research institutes.

### 🎓 Universities (7)

1. **[Nara Institute of Science and Technology](https://md.research.elamur.ai/free/en/universities/nara-institute-of-science-and-technology/)**University · Ikoma, [Japan](https://md.research.elamur.ai/free/en/countries/japan/)*48 works · 4,565 citations*
2. **[Kyoto University](https://md.research.elamur.ai/free/en/universities/kyoto-university/)**University · Kyoto, [Japan](https://md.research.elamur.ai/free/en/countries/japan/)*42 works · 8,235 citations*
3. **[The University of Osaka](https://md.research.elamur.ai/free/en/universities/the-university-of-osaka/)**University · Osaka, [Japan](https://md.research.elamur.ai/free/en/countries/japan/)*17 works · 517 citations*
4. **[Kobe University](https://md.research.elamur.ai/free/en/universities/kobe-university/)**University · Kobe, [Japan](https://md.research.elamur.ai/free/en/countries/japan/)*2 works · 530 citations*
5. **[Hyogo University of Teacher Education](https://md.research.elamur.ai/free/en/universities/hyogo-university-of-teacher-education/)**University · Katō, [Japan](https://md.research.elamur.ai/free/en/countries/japan/)*4 works · 117 citations*
6. **[Doshisha University](https://md.research.elamur.ai/free/en/universities/doshisha-university/)**University · Kyoto, [Japan](https://md.research.elamur.ai/free/en/countries/japan/)*3 works · 149 citations*
7. **[Konan University](https://md.research.elamur.ai/free/en/universities/konan-university/)**University · Kobe, [Japan](https://md.research.elamur.ai/free/en/countries/japan/)*3 works · 39 citations*

### 🔬 Labs and research institutes (2)

1. **[Advanced Telecommunications Research Institute International](https://md.research.elamur.ai/free/en/labs/advanced-telecommunications-research-institute-international/)**Research institute · Kyoto, [Japan](https://md.research.elamur.ai/free/en/countries/japan/)*4 works · 802 citations*
2. **[Quantum Chemistry Research Institute](https://md.research.elamur.ai/free/en/labs/quantum-chemistry-research-institute/)**Research institute · Kyoto, [Japan](https://md.research.elamur.ai/free/en/countries/japan/)*2 works · 153 citations*

## Works in our library (119)

Works of its institutions, the most cited first.

1. **[SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing](https://md.research.elamur.ai/free/en/papers/kudo-2018-sentencepiece-simple-language-independent-subword/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Taku Kudo, John Richardson*2018 · 4,512 citations*
2. [**Statistical Dependency Analysis with Support Vector Machines**Hiroyasu Yamada, Yuji Matsumoto*2003 · 878 citations*](https://md.research.elamur.ai/free/en/papers/yamada-2003-statistical-dependency-analysis-support-vector/)
3. **[Chunking with Support Vector Machines](https://md.research.elamur.ai/free/en/papers/kudo-2001-chunking-support-vector-machines/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Taku Kudo, Yuji Matsumoto*2001 · 649 citations*
4. [**Learning Structured Sparsity in Deep Neural Networks arXiv:1608.03665**Wei Wen, Chunpeng Wu, Yandan Wang, et al.*2016 · 530 citations*](https://md.research.elamur.ai/free/en/papers/wen-2016-learning-structured-sparsity-deep-neural/)
5. **[Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval](https://md.research.elamur.ai/free/en/papers/liu-2015-representation-learning-multi-task-deep/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Xiaodong Liu, Jianfeng Gao, Xiaodong He, et al.*2015 · 471 citations*
6. [**Adversarial Training Methods for Semi-Supervised Text Classification arXiv:1605.07725**Takeru Miyato, Andrew M. Dai, Ian Goodfellow*2016 · 433 citations*](https://md.research.elamur.ai/free/en/papers/miyato-2016-adversarial-training-methods-semi-supervised/)
7. **[Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation](https://md.research.elamur.ai/free/en/papers/yamada-2016-joint-learning-embedding-words-entities/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, et al.*2016 · 428 citations*
8. **[Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis](https://md.research.elamur.ai/free/en/papers/neubig-2011-pointwise-prediction-robust-adaptable-japanese/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Graham Neubig, Yosuke Nakata, Shinsuke Mori*2011 · 370 citations*
9. **[HILDA: A Discourse Parser Using Support Vector Machine Classification](https://md.research.elamur.ai/free/en/papers/hernault-2010-hilda-discourse-parser-support-vector/) [Dialogue & Discourse](https://md.research.elamur.ai/free/en/venues/dnd/)**Hugo Hernault, Helmut Prendinger, David A. du Verle, et al.*2010 · 353 citations*
10. **[Toward a Broad-coverage Bilingual Corpus for Speech Translation of Travel Conversations in the Real World](https://md.research.elamur.ai/free/en/papers/takezawa-2002-broad-coverage-bilingual-corpus-speech/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Toshiyuki Takezawa, Eiichiro Sumita, Fumiaki Sugaya, et al.*2002 · 328 citations*
11. **[MM-LLMs: Recent Advances in MultiModal Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2024-mm-llms-recent-advances-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Duzhen Zhang, Yahan Yu, Jiahua Dong, et al.*2024 · 320 citations*
12. **[An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/chu-2017-empirical-comparison-domain-adaptation-methods/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenhui Chu, Raj Dabre, Sadao Kurohashi*2017 · 317 citations*
13. **[Incorporating Discrete Translation Lexicons into Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/arthur-2016-incorporating-discrete-translation-lexicons-into/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Philip Arthur, Graham Neubig, Satoshi Nakamura*2016 · 302 citations*
14. **[Neural language models as psycholinguistic subjects: Representations of syntactic state](https://md.research.elamur.ai/free/en/papers/futrell-2019-neural-language-models-as-psycholinguistic/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Richard Futrell, Ethan Wilcox, Takashi Morita, et al.*2019 · 292 citations*
15. [**What do RNN Language Models Learn about Filler-Gap Dependencies? arXiv:1809.00042**Ethan Wilcox, Roger Levy, Takashi Morita, et al.*2018 · 278 citations*](https://md.research.elamur.ai/free/en/papers/wilcox-2018-rnn-language-models-learn-about/)
16. **[Fast Methods for Kernel-Based Text Analysis](https://md.research.elamur.ai/free/en/papers/kudo-2003-fast-methods-kernel-based-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Taku Kudo, Yuji Matsumoto*2003 · 266 citations*
17. **[GPT-RE: In-context Learning for Relation Extraction using Large Language Models](https://md.research.elamur.ai/free/en/papers/wan-2023-gpt-re-context-learning-relation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhen Wan, Fei Cheng, Zhuoyuan Mao, et al.*2023 · 253 citations*
18. **[ASPEC: Asian Scientific Paper Excerpt Corpus](https://md.research.elamur.ai/free/en/papers/nakazawa-2016-aspec-asian-scientific-paper-excerpt/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Toshiaki Nakazawa, Manabu Yaguchi, Kiyotaka Uchimoto, et al.*2016 · 246 citations*
19. **[A Syntactic Analysis Method of Long Japanese Sentences Based on the Detection of Conjunctive Structures](https://md.research.elamur.ai/free/en/papers/kurohashi-1994-syntactic-analysis-method-long-japanese/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Sadao Kurohashi, Makoto Nagao*1994 · 211 citations*
20. **[Tense and Aspect Error Correction for ESL Learners Using Global Context](https://md.research.elamur.ai/free/en/papers/tajiri-2012-tense-aspect-error-correction-esl/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Toshikazu Tajiri, Mamoru Komachi, Yuji Matsumoto*2012 · 206 citations*
21. **[Guiding Neural Machine Translation with Retrieved Translation Pieces](https://md.research.elamur.ai/free/en/papers/zhang-2018-guiding-neural-machine-translation-retrieved/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jingyi Zhang, Masao Utiyama, Eiichro Sumita, et al.*2018 · 188 citations*
22. **[Findings of the IWSLT 2022 Evaluation Campaign](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2022-findings-iwslt-2022-evaluation-campaign/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, et al.*2022 · 177 citations*
23. **[Annotating a Japanese Text Corpus with Predicate-Argument and Coreference Relations](https://md.research.elamur.ai/free/en/papers/iida-2007-annotating-japanese-text-corpus-predicate/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Ryu Iida, Mamoru Komachi, Kentaro Inui, et al.*2007 · 162 citations*
24. **[FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN](https://md.research.elamur.ai/free/en/papers/agarwal-2023-findings-iwslt-2023-evaluation-campaign/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, et al.*2023 · 152 citations*
25. **[Measuring Non-native Speakers' Proficiency of English by Using a Test with Automatically-Generated Fill-in-the-Blank Questions](https://md.research.elamur.ai/free/en/papers/sumita-2005-measuring-non-native-speakers-proficiency/) [Workshop on Building Educational Applications Using NLP](https://md.research.elamur.ai/free/en/venues/workshop-on-building-educational-applications-using-nlp/)**Eiichiro Sumita, Fumiaki Sugaya, Seiichi Yamamoto*2005 · 148 citations*

[See all 119 works in Keihanshin →](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/works/)

## Works by year

### 2020s

[**2026** 39 papers](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2025/) · [**2024** 3 papers](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2024/) · [**2023** 5 papers](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2023/) · [**2022** 2 papers](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2022/) · [**2021** 4 papers](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2021/) · [**2020** 6 papers](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2020/)

### 2010s

[**2019** 2 papers](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2019/) · [**2018** 12 papers](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2018/) · [**2017** 7 papers](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2017/) · [**2016** 10 papers](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2016/) · [**2015** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2015/) · [**2014** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2014/) · [**2013** 2 papers](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2013/) · [**2012** 3 papers](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2012/) · [**2011** 3 papers](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2011/) · [**2010** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2010/)

### 2000s

[**2009** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2009/) · [**2008** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2008/) · [**2007** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2007/) · [**2006** 3 papers](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2006/) · [**2005** 2 papers](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2005/) · [**2004** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2004/) · [**2003** 2 papers](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2003/) · [**2002** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2002/) · [**2001** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/2001/)

### 1990s

[**1994** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/1994/)

### 1980s

[**1988** 2 papers](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/1988/) · [**1980** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/year/1980/)

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 36 The field of science this work belongs to (OpenAlex fields).[Computer Science · 115 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 112 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 114 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 111 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 17 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Cognitive Neuroscience · 4 works](https://md.research.elamur.ai/free/en/shelves/neuroscience/cognitive-neuroscience/) · [Neuroscience · 4 works](https://md.research.elamur.ai/free/en/shelves/neuroscience/) · [Information Systems · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Psychology · 10 works](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Developmental and Educational Psychology · 9 works](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) · [Social Sciences · 7 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Philosophy · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/philosophy/) · [Decision Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Management Science and Operations Research · 2 works](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/)+21 more

🧭 Topics 33 Research subjects and languages the work is about.[English · 24 works](https://md.research.elamur.ai/free/en/topics/english/) · [Tokenization & segmentation · 1 work](https://md.research.elamur.ai/free/en/topics/tokenization/) · [Machine translation · 8 works](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Language models & pretraining · 15 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Coreference resolution · 9 works](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Discourse analysis · 8 works](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Speech & spoken language · 6 works](https://md.research.elamur.ai/free/en/topics/speech/) · [Evaluation & benchmarks · 12 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Grammatical error correction & learner language · 6 works](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Named entity recognition · 3 works](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Psycholinguistics & language acquisition · 4 works](https://md.research.elamur.ai/free/en/topics/psycholinguistics/) · [Vision & language · 4 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Morphology · 1 work](https://md.research.elamur.ai/free/en/topics/morphology/) · [Dialogue systems · 9 works](https://md.research.elamur.ai/free/en/topics/dialogue-systems/)+18 more

💡 Concepts 13 Key ideas and methods explained on our concept pages.[Machine learning · 2 works](https://md.research.elamur.ai/free/en/concepts/machine-learning/) · [Psycholinguistics · 2 works](https://md.research.elamur.ai/free/en/concepts/psycholinguistics/) · [Natural language processing · 1 work](https://md.research.elamur.ai/free/en/concepts/natural-language-processing/) · [Subword tokenization · 1 work](https://md.research.elamur.ai/free/en/concepts/subword-tokenization/) · [Tokenization · 1 work](https://md.research.elamur.ai/free/en/concepts/tokenization/) · [Text classification · 1 work](https://md.research.elamur.ai/free/en/concepts/text-classification/) · [Named entity recognition · 1 work](https://md.research.elamur.ai/free/en/concepts/named-entity-recognition/) · [Morphology · 1 work](https://md.research.elamur.ai/free/en/concepts/morphology/) · [chrF · 1 work](https://md.research.elamur.ai/free/en/concepts/chrf/) · [Lexicography · 1 work](https://md.research.elamur.ai/free/en/concepts/lexicography/) · [Corpus linguistics · 1 work](https://md.research.elamur.ai/free/en/concepts/corpus-linguistics/) · [Child-directed speech · 1 work](https://md.research.elamur.ai/free/en/concepts/child-directed-speech/) · [Type–token ratio · 1 work](https://md.research.elamur.ai/free/en/concepts/type-token-ratio/)

Agglomerations: the GHSL Urban Centre Database 2025; populations: the GHSL functional urban areas 2015 (urban centre and commuting zone), else the urban centre, as each page says (European Commission, Joint Research Centre, CC BY 4.0). An institution belongs to the urban centre its coordinates (ROR, OpenAlex) fall in, or one within 5 km. Land: Natural Earth.

- [← back to](https://md.research.elamur.ai/free/en/countries/japan/) — Japan

Updated 2 November 2026