---
title: "Keihanshin — works: 119 in our library, the most cited first"
description: "Works of Keihanshin: 119 in our library · page 1 of 2, the most cited first. Among them: SentencePiece: A simple and language independent…"
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# Works of Keihanshin

119 · page 1 of 2 · the most cited first · [← Keihanshin](https://md.research.elamur.ai/free/en/agglomerations/keihanshin/)

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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*
26. **[RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/shimanaka-2018-ruse-regressor-sentence-embeddings-automatic/) [Conference on Machine Translation: Shared Task Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-shared-task-papers/)**Hiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi*2018 · 141 citations*
27. **[Learning Distributed Representations of Texts and Entities from Knowledge Base](https://md.research.elamur.ai/free/en/papers/yamada-2017-learning-distributed-representations-texts-entities/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, et al.*2017 · 125 citations*
28. [**PandaGPT: One Model To Instruction-Follow Them All arXiv:2305.16355**Yixuan Su, Tian Lan, Huayang Li, et al.*2023 · 115 citations*](https://md.research.elamur.ai/free/en/papers/su-2023-pandagpt-one-model-instruction-follow/)
29. **[Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification](https://md.research.elamur.ai/free/en/papers/fadeeva-2024-fact-checking-output-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, et al.*2024 · 96 citations*
30. **[A Discriminative Approach to Japanese Zero Anaphora Resolution with Large-scale Lexicalized Case Frames](https://md.research.elamur.ai/free/en/papers/sasano-2011-discriminative-approach-japanese-zero-anaphora/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Ryohei Sasano, Sadao Kurohashi*2011 · 91 citations*
31. **[Exploiting Syntactic Patterns as Clues in Zero-Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/iida-2006-exploiting-syntactic-patterns-as-clues/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ryu Iida, Kentaro Inui, Yuji Matsumoto*2006 · 84 citations*
32. [**RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency arXiv:1809.01329**Richard Futrell, Ethan Wilcox, Takashi Morita, et al.*2018 · 75 citations*](https://md.research.elamur.ai/free/en/papers/futrell-2018-rnns-psycholinguistic-subjects-syntactic-state/)
33. **[Extraction of Semantic Information from an Ordinary English Dictionary and its Evaluation](https://md.research.elamur.ai/free/en/papers/nakamura-1988-extraction-semantic-information-ordinary-english/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Jun-ichi Nakamura, Makoto Nagao*1988 · 74 citations*
34. **[A Feedback-Augmented Method for Detecting Errors in the Writing of Learners of English](https://md.research.elamur.ai/free/en/papers/nagata-2006-feedback-augmented-method-detecting-errors/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ryo Nagata, Atsuo Kawai, Koichiro Morihiro, et al.*2006 · 70 citations*
35. **[Adapting BERT to Implicit Discourse Relation Classification with a Focus on Discourse Connectives](https://md.research.elamur.ai/free/en/papers/kishimoto-2020-adapting-bert-implicit-discourse-relation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yudai Kishimoto, Yugo Murawaki, Sadao Kurohashi*2020 · 68 citations*
36. **[A Fully-Lexicalized Probabilistic Model for Japanese Zero Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/sasano-2008-fully-lexicalized-probabilistic-model-japanese/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Ryohei Sasano, Daisuke Kawahara, Sadao Kurohashi*2008 · 63 citations*
37. **[Multi-Dialect Arabic POS Tagging: A CRF Approach](https://md.research.elamur.ai/free/en/papers/darwish-2018-multi-dialect-arabic-pos-tagging/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kareem Darwish, Hamdy Mubarak, Ahmed Abdelali, et al.*2018 · 57 citations*
38. [**Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts**Masashi Yoshikawa, Hiroyuki Shindo, Yuji Matsumoto*2016 · 57 citations*](https://md.research.elamur.ai/free/en/papers/yoshikawa-2016-joint-transition-based-dependency-parsing/)
39. **[Universal Dependencies Version 2 for Japanese](https://md.research.elamur.ai/free/en/papers/asahara-2018-universal-dependencies-version-2-japanese/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Masayuki Asahara, Hiroshi Kanayama, Takaaki Tanaka, et al.*2018 · 50 citations*
40. **[Reference-based Metrics can be Replaced with Reference-less Metrics in Evaluating Grammatical Error Correction Systems](https://md.research.elamur.ai/free/en/papers/asano-2017-reference-based-metrics-can-be/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Hiroki Asano, Tomoya Mizumoto, Kentaro Inui*2017 · 49 citations*
41. **[Extractive Summarization Considering Discourse and Coreference Relations based on Heterogeneous Graph](https://md.research.elamur.ai/free/en/papers/huang-2021-extractive-summarization-considering-discourse-coreference/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yin Jou Huang, Sadao Kurohashi*2021 · 41 citations*
42. [**Joint Prediction of Morphosyntactic Categories for Fine-Grained Arabic Part-of-Speech Tagging Exploiting Tag Dictionary Information**Go Inoue, Hiroyuki Shindo, Yuji Matsumoto*2017 · 39 citations*](https://md.research.elamur.ai/free/en/papers/inoue-2017-joint-prediction-morphosyntactic-categories-fine/)
43. **[Identifying Zero Pronouns in Japanese Dialogue](https://md.research.elamur.ai/free/en/papers/yoshimoto-1988-identifying-zero-pronouns-japanese-dialogue/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Kei Yoshimoto*1988 · 35 citations*
44. [**Construction of English MWE Dictionary and its Application to POS Tagging**Yutaro Shigeto, Ai Azuma, Sorami Hisamoto, et al.*2013 · 34 citations*](https://md.research.elamur.ai/free/en/papers/shigeto-2013-construction-english-mwe-dictionary-its/)
45. **[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*
46. **[Reconstructing an Indo-European Family Tree from Non-native English Texts](https://md.research.elamur.ai/free/en/papers/nagata-2013-reconstructing-indo-european-family-tree/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ryo Nagata, Edward Whittaker*2013 · 31 citations*
47. **[Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/shi-2017-explicit-discourse-connectives-translation-implicit/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Wei Shi, Frances Yung, Raphael Rubino, et al.*2017 · 25 citations*
48. [**Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in? arXiv:2408.10811**Chengzhi Zhong, Fei Cheng, Qianying Liu, et al.*2024 · 24 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2024-english-centric-llms-language-multilingual/)
49. **[BCCWJ-DepPara: A Syntactic Annotation Treebank on the ‘Balanced Corpus of Contemporary Written Japanese'](https://md.research.elamur.ai/free/en/papers/asahara-2016-bccwj-deppara-syntactic-annotation-treebank/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Masayuki Asahara, Yuji Matsumoto*2016 · 23 citations*
50. **[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*
51. **[Entity-Centric Joint Modeling of Japanese Coreference Resolution and Predicate Argument Structure Analysis](https://md.research.elamur.ai/free/en/papers/shibata-2018-entity-centric-joint-modeling-japanese/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tomohide Shibata, Sadao Kurohashi*2018 · 23 citations*
52. **[Dialogue-Act Prediction of Future Responses Based on Conversation History](https://md.research.elamur.ai/free/en/papers/tanaka-2019-dialogue-act-prediction-future-responses/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Koji Tanaka, Junya Takayama, Yuki Arase*2019 · 22 citations*
53. [**Knowledge Sanitization of Large Language Models arXiv:2309.11852**Yoichi Ishibashi, Hidetoshi Shimodaira*2023 · 21 citations*](https://md.research.elamur.ai/free/en/papers/ishibashi-2023-knowledge-sanitization-large-language-models/)
54. **[A Probabilistic Model for Associative Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/sasano-2009-probabilistic-model-associative-anaphora-resolution/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ryohei Sasano, Sadao Kurohashi*2009 · 20 citations*
55. **[Narrative Schema as World Knowledge for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/irwin-2011-narrative-schema-as-world-knowledge/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Joseph Irwin, Mamoru Komachi, Yuji Matsumoto*2011 · 17 citations*
56. **[Improving Crowdsourcing-Based Annotation of Japanese Discourse Relations](https://md.research.elamur.ai/free/en/papers/kishimoto-2018-improving-crowdsourcing-based-annotation-japanese/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yudai Kishimoto, Shinnosuke Sawada, Yugo Murawaki, et al.*2018 · 17 citations*
57. **[Language education from a post-native-speakerist perspective: The case of English as an international language](https://md.research.elamur.ai/free/en/papers/hino-2021-language-education-post-native-speakerist/) [Russian Journal of Linguistics](https://md.research.elamur.ai/free/en/venues/russian-journal-of-linguistics/)**Nobuyuki Hino*2021 · 15 citations*
58. **[Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/konno-2021-pseudo-zero-pronoun-resolution-improves/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ryuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, et al.*2021 · 14 citations*
59. [**Construction of an English Dependency Corpus incorporating Compound Function Words**Akihiko Kato, Hiroyuki Shindo, Yuji Matsumoto*2016 · 12 citations*](https://md.research.elamur.ai/free/en/papers/kato-2016-construction-english-dependency-corpus-incorporating/)
60. **[End-to-end speech-to-dialog-act recognition](https://md.research.elamur.ai/free/en/papers/dang-2020-end-end-speech-dialog-act/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Viet-Trung Dang, Tianyu Zhao, Sei Ueno, et al.*2020 · 11 citations*
61. **[English as a Lingua Franca from an applied linguistics perspective: In the context of Japan](https://md.research.elamur.ai/free/en/papers/hino-2020-english-lingua-franca-applied-linguistics/) [Russian Journal of Linguistics](https://md.research.elamur.ai/free/en/venues/russian-journal-of-linguistics/)**Nobuyuki Hino*2020 · 11 citations*
62. [**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/)
63. [**Joint English Spelling Error Correction and POS Tagging for Language Learners Writing**Keisuke Sakaguchi, Tomoya Mizumoto, Mamoru Komachi, et al.*2012 · 11 citations*](https://md.research.elamur.ai/free/en/papers/sakaguchi-2012-joint-english-spelling-error-correction/)
64. **[Joint Learning of Dialog Act Segmentation and Recognition in Spoken Dialog Using Neural Networks](https://md.research.elamur.ai/free/en/papers/zhao-2017-joint-learning-dialog-act-segmentation/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Tianyu Zhao, Tatsuya Kawahara*2017 · 10 citations*
65. **[Language Family Relationship Preserved in Non-native English](https://md.research.elamur.ai/free/en/papers/nagata-2014-language-family-relationship-preserved-non/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Ryo Nagata*2014 · 9 citations*
66. **[BabyLM Challenge: Curriculum learning based on sentence complexity approximating language acquisition](https://md.research.elamur.ai/free/en/papers/oba-2023-babylm-challenge-curriculum-learning-based/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Miyu Oba, Akari Haga, Akiyo Fukatsu, et al.*2023 · 9 citations*
67. **[A Unified Neural Architecture for Joint Dialog Act Segmentation and Recognition in Spoken Dialog System](https://md.research.elamur.ai/free/en/papers/zhao-2018-unified-neural-architecture-joint-dialog/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Tianyu Zhao, Tatsuya Kawahara*2018 · 8 citations*
68. [**English Multiword Expression-aware Dependency Parsing Including Named Entities**Akihiko Kato, Hiroyuki Shindo, Yuji Matsumoto*2017 · 7 citations*](https://md.research.elamur.ai/free/en/papers/kato-2017-english-multiword-expression-aware-dependency/)
69. **[Reinforcing English Countability Prediction with One Countability per Discourse Property](https://md.research.elamur.ai/free/en/papers/nagata-2006-reinforcing-english-countability-prediction-one/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ryo Nagata, Atsuo Kawai, Koichiro Morihiro, et al.*2006 · 7 citations*
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71. **[Exploring the Influence of Spelling Errors on Lexical Variation Measures](https://md.research.elamur.ai/free/en/papers/nagata-2018-exploring-influence-spelling-errors-lexical/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Ryo Nagata, Taisei Sato, Hiroya Takamura*2018 · 5 citations*
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74. **[ARxHYOKA at TAQEEM2025: Comparative Approaches to Arabic Essay Trait Scoring](https://md.research.elamur.ai/free/en/papers/alnajjar-2025-arxhyoka-taqeem2025-comparative-approaches-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mohamad Alnajjar, Ahmad Almoustafa, Tomohiro Nishiyama, et al.*2025 · 3 citations*
75. **[Mining Rules for Rewriting States in a Transition-based Dependency Parser for English](https://md.research.elamur.ai/free/en/papers/inokuchi-2012-mining-rules-rewriting-states-transition/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Akihiro Inokuchi, Ayumu Yamaoka*2012 · 3 citations*
76. **[MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data Synthesis](https://md.research.elamur.ai/free/en/papers/yu-2026-mathagent-adversarial-evolution-constraint-graphs/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zixiong Yu, Jun Rao, Guhan Chen, et al.*2026 · 3 citations*
77. **[FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosure](https://md.research.elamur.ai/free/en/papers/zhang-2026-finreporting-agentic-workflow-localized-reporting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fan Zhang, Mingzi Song, Rania Elbadry, et al.*2026 · 3 citations*
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