---
title: "Greater Tokyo — works: 133 in our library, the most cited first"
description: "Works of Greater Tokyo: 133 in our library · page 1 of 2, the most cited first. Among them: Named Entity Recognition with Bidirectional…"
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# Works of Greater Tokyo

133 · page 1 of 2 · the most cited first · [← Greater Tokyo](https://md.research.elamur.ai/free/en/agglomerations/greater-tokyo/)

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1. **[Named Entity Recognition with Bidirectional LSTM-CNNs](https://md.research.elamur.ai/free/en/papers/chiu-2015-named-entity-recognition-bidirectional-lstm/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jason P. C. Chiu, Eric Nichols*2015 · 2,283 citations*
2. [**Multiword Expressions: A Pain in the Neck for NLP**Ivan A. Sag, Timothy Baldwin, Francis Bond, et al.*2002 · 1,497 citations*](https://md.research.elamur.ai/free/en/papers/sag-2002-multiword-expressions-pain-neck-nlp/)
3. **[brat: a Web-based Tool for NLP-Assisted Text Annotation](https://md.research.elamur.ai/free/en/papers/stenetorp-2012-brat-web-based-tool-nlp/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Pontus Stenetorp, Sampo Pyysalo, Goran Topić, et al.*2012 · 1,368 citations*
4. **[Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations](https://md.research.elamur.ai/free/en/papers/kobayashi-2018-contextual-augmentation-data-augmentation-words/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sosuke Kobayashi*2018 · 807 citations*
5. **[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*
6. [**Overview of BioNLP'09 Shared Task on Event Extraction Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task**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/)
7. **[Introduction to the Bio-entity Recognition Task at JNLPBA](https://md.research.elamur.ai/free/en/papers/collier-2004-introduction-bio-entity-recognition-task/) [International Joint Workshop on Natural Language Processing in Biomedicine and its Applications (NLPBA/BioNLP)](https://md.research.elamur.ai/free/en/venues/international-joint-workshop-on-natural-language-processing-in-biomedicine-and/)**Nigel Collier, Tomoko Ohta, Yoshimasa Tsuruoka, et al.*2004 · 733 citations*
8. **[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*
9. **[A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks](https://md.research.elamur.ai/free/en/papers/hashimoto-2016-joint-many-task-model-growing/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, et al.*2016 · 668 citations*
10. [**The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages**Jan Hajič, Massimiliano Ciaramita, Richard Johansson, et al.*2009 · 631 citations*](https://md.research.elamur.ai/free/en/papers/hajic-2009-conll-2009-shared-task-syntactic/)
11. [**How Powerful are Graph Neural Networks? arXiv:1810.00826**Keyulu Xu, Weihua Hu, Jure Leskovec, et al.*2018 · 594 citations*](https://md.research.elamur.ai/free/en/papers/xu-2018-powerful-graph-neural-networks/)
12. **[Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition](https://md.research.elamur.ai/free/en/papers/derczynski-2017-results-wnut2017-shared-task-novel/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Leon Derczynski, Eric Nichols, Marieke van Erp, et al.*2017 · 536 citations*
13. **[Discovering Relations among Named Entities from Large Corpora](https://md.research.elamur.ai/free/en/papers/hasegawa-2004-discovering-relations-among-named-entities/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Takaaki Hasegawa, Satoshi Sekine, Ralph Grishman*2004 · 486 citations*
14. **[Extracting Semantic Orientations of Words using Spin Model](https://md.research.elamur.ai/free/en/papers/takamura-2005-extracting-semantic-orientations-words-spin/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hiroya Takamura, Takashi Inui, Manabu Okumura*2005 · 471 citations*
15. **[Automatic Evaluation of Translation Quality for Distant Language Pairs](https://md.research.elamur.ai/free/en/papers/isozaki-2010-automatic-evaluation-translation-quality-distant/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hideki Isozaki, Tsutomu Hirao, Kevin Duh, et al.*2010 · 461 citations*
16. **[MasakhaNER: Named Entity Recognition for African Languages](https://md.research.elamur.ai/free/en/papers/adelani-2021-masakhaner-named-entity-recognition-african/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**David Ifeoluwa Adelani, Jade Abbott, Graham Neubig, et al.*2021 · 429 citations*
17. [**Adversarial Training Methods for Semi-Supervised Text Classification arXiv:1605.07725**Takeru Miyato, Andrew M. Dai, Ian Goodfellow*2016 · 427 citations*](https://md.research.elamur.ai/free/en/papers/miyato-2016-adversarial-training-methods-semi-supervised/)
18. **[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 · 427 citations*
19. **[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*
20. [**The Parallel Grammar Project COLING-02: Grammar Engineering and Evaluation**Miriam Butt, Helge Dyvik, Tracy Holloway King, et al.*2002 · 392 citations*](https://md.research.elamur.ai/free/en/papers/butt-2002-parallel-grammar-project/)
21. **[A Neural Layered Model for Nested Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/ju-2018-neural-layered-model-nested-named/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Meizhi Ju, Makoto Miwa, Sophia Ananiadou*2018 · 378 citations*
22. **[Probabilistic CFG with Latent Annotations](https://md.research.elamur.ai/free/en/papers/matsuzaki-2005-probabilistic-cfg-latent-annotations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Takuya Matsuzaki, Yusuke Miyao, Jun'ichi Tsujii*2005 · 375 citations*
23. **[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*
24. **[Controlling Output Length in Neural Encoder-Decoders](https://md.research.elamur.ai/free/en/papers/kikuchi-2016-controlling-output-length-neural-encoder/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuta Kikuchi, Graham Neubig, Ryohei Sasano, et al.*2016 · 323 citations*
25. [**An Empirical Model of Multiword Expression Decomposability Proceedings of the ACL 2003 Workshop on Multiword Expressions: Analysis, Acquisition and Treatment**Timothy Baldwin, Colin Bannard, Takaaki Tanaka, et al.*2003 · 319 citations*](https://md.research.elamur.ai/free/en/papers/baldwin-2003-empirical-model-multiword-expression-decomposability/)
26. **[Entailment above the word level in distributional semantics](https://md.research.elamur.ai/free/en/papers/baroni-2012-entailment-above-word-level-distributional/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Marco Baroni, Raffaella Bernardi, Ngoc-Quynh Do, et al.*2012 · 319 citations*
27. **[Bidirectional Inference with the Easiest-First Strategy for Tagging Sequence Data](https://md.research.elamur.ai/free/en/papers/tsuruoka-2005-bidirectional-inference-easiest-first-strategy/) [Human Language Technology Conference (HLT)](https://md.research.elamur.ai/free/en/venues/hlt/)**Yoshimasa Tsuruoka, Jun'ichi Tsujii*2005 · 316 citations*
28. **[Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't.](https://md.research.elamur.ai/free/en/papers/gladkova-2016-analogy-based-detection-morphological-semantic/) [NAACL Student Research Workshop](https://md.research.elamur.ai/free/en/venues/naacl-student-research-workshop/)**Anna Gladkova, Aleksandr Drozd, Satoshi Matsuoka*2016 · 312 citations*
29. **[Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling](https://md.research.elamur.ai/free/en/papers/mochihashi-2009-bayesian-unsupervised-word-segmentation-nested/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Daichi Mochihashi, Takeshi Yamada, Naonori Ueda*2009 · 312 citations*
30. **[Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles](https://md.research.elamur.ai/free/en/papers/sagae-2007-dependency-parsing-domain-adaptation-lr/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kenji Sagae, Jun'ichi Tsujii*2007 · 311 citations*
31. **[Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network](https://md.research.elamur.ai/free/en/papers/sahu-2019-inter-sentence-relation-extraction-document/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, et al.*2019 · 299 citations*
32. **[Deep Exhaustive Model for Nested Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/sohrab-2018-deep-exhaustive-model-nested-named/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mohammad Golam Sohrab, Makoto Miwa*2018 · 299 citations*
33. **[Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs](https://md.research.elamur.ai/free/en/papers/christopoulou-2019-connecting-dots-document-level-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou*2019 · 296 citations*
34. **[Overview of BioNLP Shared Task 2011](https://md.research.elamur.ai/free/en/papers/kim-2011-overview-bionlp-shared-task-2011/) [BioNLP Shared Task Workshop](https://md.research.elamur.ai/free/en/venues/bionlp-workshop-and-shared-task/)**Jin-Dong Kim, Sampo Pyysalo, Tomoko Ohta, et al.*2011 · 289 citations*
35. [**Is ChatGPT a Good NLG Evaluator? A Preliminary Study arXiv:2303.04048**Jiaan Wang, Yunlong Liang, Fandong Meng, et al.*2023 · 282 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-chatgpt-good-nlg-evaluator-preliminary/)
36. [**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/)
37. **[A Comparison of Pivot Methods for Phrase-Based Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/utiyama-2007-comparison-pivot-methods-phrase-based/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Masao Utiyama, Hitoshi Isahara*2007 · 264 citations*
38. [**Personality Traits in Large Language Models arXiv:2307.00184**Greg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al.*2023 · 251 citations*](https://md.research.elamur.ai/free/en/papers/serapio-garcia-2023-personality-traits-large-language-models/)
39. **[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 · 245 citations*
40. **[Humanity's Last Exam](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/) [Nature](https://md.research.elamur.ai/free/en/venues/nature/)**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*
41. **[Learning to Parse and Translate Improves Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/eriguchi-2017-learning-parse-translate-improves-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Akiko Eriguchi, Yoshimasa Tsuruoka, Kyunghyun Cho*2017 · 214 citations*
42. **[Towards an ISO Standard for Dialogue Act Annotation](https://md.research.elamur.ai/free/en/papers/bunt-2010-iso-standard-dialogue-act-annotation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Harry Bunt, Jan Alexandersson, Jean Carletta, et al.*2010 · 210 citations*
43. **[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*
44. **[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*
45. **[Instance Weighting for Neural Machine Translation Domain Adaptation](https://md.research.elamur.ai/free/en/papers/wang-2017-instance-weighting-neural-machine-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Rui Wang, Masao Utiyama, Lemao Liu, et al.*2017 · 200 citations*
46. **[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 · 186 citations*
47. **[ISO 24617-2: A semantically-based standard for dialogue annotation](https://md.research.elamur.ai/free/en/papers/bunt-2012-iso-24617-2-semantically-based/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Harry Bunt, Jan Alexandersson, Jae-Woong Choe, et al.*2012 · 182 citations*
48. **[What Makes Reading Comprehension Questions Easier?](https://md.research.elamur.ai/free/en/papers/sugawara-2018-what-makes-reading-comprehension-questions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Saku Sugawara, Kentaro Inui, Satoshi Sekine, et al.*2018 · 178 citations*
49. **[Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet](https://md.research.elamur.ai/free/en/papers/kocmi-2024-findings-wmt24-general-machine-translation/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, et al.*2024 · 177 citations*
50. **[Debiasing Pre-trained Contextualised Embeddings](https://md.research.elamur.ai/free/en/papers/kaneko-2021-debiasing-pre-trained-contextualised-embeddings/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Masahiro Kaneko, Danushka Bollegala*2021 · 174 citations*
51. **[Predicting Discourse Connectives for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/zhou-2010-predicting-discourse-connectives-implicit-discourse/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Zhi-Min Zhou, Yu Xu, Zheng-Yu Niu, et al.*2010 · 163 citations*
52. **[Abstract Generation Based on Rhetorical Structure Extraction](https://md.research.elamur.ai/free/en/papers/ono-1994-abstract-generation-based-rhetorical-structure/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Kenji Ono, Kazuo Sumita, Seiji Miike*1994 · 159 citations*
53. **[A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation](https://md.research.elamur.ai/free/en/papers/adelani-2022-few-thousand-translations-go-long/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al.*2022 · 155 citations*
54. [**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/)
55. **[MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/adelani-2022-masakhaner-2-0-africa-centric/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, et al.*2022 · 150 citations*
56. **[Deep contextualized word representations for detecting sarcasm and irony](https://md.research.elamur.ai/free/en/papers/ilic-2018-deep-contextualized-word-representations-detecting/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Suzana Ilić, Edison Marrese-Taylor, Jorge Balazs, et al.*2018 · 142 citations*
57. **[IndicBART: A Pre-trained Model for Indic Natural Language Generation](https://md.research.elamur.ai/free/en/papers/dabre-2022-indicbart-pre-trained-model-indic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, et al.*2022 · 141 citations*
58. **[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*
59. **[Construction of a Bilingual Dictionary Intermediated by a Third Language](https://md.research.elamur.ai/free/en/papers/tanaka-1994-bilingual-dictionary-third-language/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Kumiko Tanaka, Kyoji Umemura*1994 · 137 citations*
60. **[A Novel Discourse Parser Based on Support Vector Machine Classification](https://md.research.elamur.ai/free/en/papers/duverle-2009-novel-discourse-parser-based-support/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**David duVerle, Helmut Prendinger*2009 · 135 citations*
61. [**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/)
62. **[Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics](https://md.research.elamur.ai/free/en/papers/bhargava-2021-generalization-nli-ways-not-go/) [Workshop on Insights from Negative Results in NLP](https://md.research.elamur.ai/free/en/venues/insights/)**Prajjwal Bhargava, Aleksandr Drozd, Anna Rogers*2021 · 127 citations*
63. [**Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities arXiv:2404.17790**Kazuki Fujii, Taishi Nakamura, Mengsay Loem, et al.*2024 · 114 citations*](https://md.research.elamur.ai/free/en/papers/fujii-2024-continual-pre-training-cross-lingual/)
64. **[Dependency-based Discourse Parser for Single-Document Summarization](https://md.research.elamur.ai/free/en/papers/yoshida-2014-dependency-based-discourse-parser-single/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yasuhisa Yoshida, Jun Suzuki, Tsutomu Hirao, et al.*2014 · 113 citations*
65. **[A Cross-Lingual ILP Solution to Zero Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/iida-2011-cross-lingual-ilp-solution-zero/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ryu Iida, Massimo Poesio*2011 · 110 citations*
66. **[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*
67. **[JGLUE: Japanese General Language Understanding Evaluation](https://md.research.elamur.ai/free/en/papers/kurihara-2022-jglue-japanese-general-language-understanding/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kentaro Kurihara, Daisuke Kawahara, Tomohide Shibata*2022 · 90 citations*
68. **[Solving Math Word Problems via Cooperative Reasoning induced Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2023-solving-math-word-problems-cooperative/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinyu Zhu, Junjie Wang, Lin Zhang, et al.*2023 · 85 citations*
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