Takashi Ninomiya

发表

Corpus-Oriented Grammar Development for Acquiring a Head-Driven Phrase Structure Grammar from the Penn Treebank

Jun'ichi Tsujii, Yusuke Miyao, Takashi Ninomiya, 2004, IJCNLP.

Proceedings of the Seventh Workshop on Patent and Scientific Literature Translation

Takashi Ninomiya, Junichi Tsujii, Toshiaki Nakazawa, 2017 .

Resampling approach for instance-based domain adaptation from patent domain to newspaper domain in statistical machine translation

Takashi Ninomiya, Keisuke Noguchi, 2015, MTSUMMIT.

A Japanese Dataset for Subjective and Objective Sentiment Polarity Classification in Micro Blog Domain

Takashi Ninomiya, H. Nagahara, Tomoyuki Kajiwara, 2022 .

Action Vectors for Interpreting Route Descriptions

Takashi Ninomiya, Junko Araki, Takaki Makino Jun, 2002 .

Grammatical Error Correction via Supervised Attention in the Vicinity of Errors

Takashi Ninomiya, Akihiro Tamura, Hiromichi Ishii, 2021, PACLIC.

Adversarial Training on Disentangling Meaning and Language Representations for Unsupervised Quality Estimation

Takashi Ninomiya, Tomoyuki Kajiwara, Yuki Arase, 2022, COLING.

Emotional Intensity Estimation based on Writer’s Personality

Takashi Ninomiya, H. Nagahara, Tomoyuki Kajiwara, 2022, AACL.

EHIME Textual Entailment System Using Markov Logic in NTCIR-10 RITE-2

Takashi Ninomiya, Yuji Takesue, Takashi Ninomiya, 2013, NTCIR.

Supervised Visual Attention for Multimodal Neural Machine Translation

Akihiro Tamura, Takashi Ninomiya, Hideki Nakayama, 2020, COLING.

Synchronous Syntactic Attention for Transformer Neural Machine Translation

Takashi Ninomiya, Akihiro Tamura, Hiroyuki Deguchi, 2021, Annual Meeting of the Association for Computational Linguistics.

Neural Machine Translation Incorporating Named Entity

Akihiro Tamura, Hiroya Takamura, Manabu Okumura, 2018, COLING.

Hie-BART: Document Summarization with Hierarchical BART

Akihiro Tamura, Takashi Ninomiya, Kazuki Akiyama, 2021, NAACL.

Neural Text Generation with Artificial Negative Examples to Address Repeating and Dropping Errors

Takashi Ninomiya, Shinsuke Mori, Akiko Eriguchi, 2021, Journal of Natural Language Processing.

Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases

Jun'ichi Tsujii, Yusuke Miyao, Yoshimasa Tsuruoka, 2006, ACL.

Deterministic Shift-Reduce Parsing for Unification-Based Grammars by Using Default Unification

Hiroshi Nakagawa, Nobuyuki Shimizu, Takashi Ninomiya, 2009, EACL.

Improvement in Domain Specific Word Segmentation by Symbol Grounding

Yoshimasa Tsuruoka, Shinsuke Mori, Suzushi Tomori, 2017 .

Neural Text Generation with Artificial Negative Examples pdf

Shinsuke Mori, Akiko Eriguchi, Takashi Ninomiya, 2020, ArXiv.

Bilingual Subword Segmentation for Neural Machine Translation

Akihiro Tamura, Masao Utiyama, Eiichiro Sumita, 2020, COLING.

Dependency-Based Self-Attention for Transformer Neural Machine Translation

Akihiro Tamura, Takashi Ninomiya, Hiroyuki Deguchi, 2020, Journal of Natural Language Processing.

A log-linear model with an n-gram reference distribution for accurate HPSG parsing

Jun'ichi Tsujii, Yusuke Miyao, Takashi Ninomiya, 2007, IWPT.

Utterance Position-Aware Dialogue Act Recognition

Akihiro Tamura, Yuki Yano, Takashi Ninomiya, 2021, RANLP.

A Benchmark Dataset for Multi-Level Complexity-Controllable Machine Translation

Takashi Ninomiya, Tomoyuki Kajiwara, T. Kato, 2022, International Conference on Language Resources and Evaluation.

Domain Specific Named Entity Recognition Referring to the Real World by Deep Neural Networks

Shinsuke Mori, Suzushi Tomori, Takashi Ninomiya, 2016, ACL.

Controllable Text Simplification with Deep Reinforcement Learning

Takashi Ninomiya, Tomoyuki Kajiwara, Yuki Arase, 2022, AACL.

Parallel Corpus Filtering for Japanese Text Simplification

Takashi Ninomiya, Tomoyuki Kajiwara, Koki Hatagaki, 2022, TSAR.

Extremely Lexicalized Models for Accurate and Fast HPSG Parsing

Jun'ichi Tsujii, Yusuke Miyao, Yoshimasa Tsuruoka, 2006, EMNLP.

Automated Orthodontic Diagnosis from a Summary of Medical Findings

Takashi Ninomiya, Tomoyuki Kajiwara, C. Tanikawa, 2023, CLINICALNLP.

Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing

Akihiro Tamura, Tomoya Iwakura, Takashi Ninomiya, 2019, EMNLP.

An Intelligent Search Engine and GUI-based Efficient MEDLINE Search Tool Based on Deep Syntactic Parsing

Jun'ichi Tsujii, Yusuke Miyao, Yoshimasa Tsuruoka, 2006, ACL.

Personalized reading support for second-language web documents

Hiroshi Nakagawa, Nobuyuki Shimizu, Takashi Ninomiya, 2013, TIST.

A Visually-Grounded Parallel Corpus with Phrase-to-Region Linking

Akihiro Tamura, Takashi Ninomiya, Hideki Nakayama, 2020, LREC.

Personalized reading support for second-language web documents by collective intelligence

Takashi Ninomiya, N. Shimizu, Yo Ehara, 2010, IUI '10.

A Persistent Feature-Object Database for Intelligent Text Archive Systems

Jun'ichi Tsujii, Yusuke Miyao, Takashi Ninomiya, 2004, IJCNLP.

Dependency-Based Relative Positional Encoding for Transformer NMT

Akihiro Tamura, Takashi Ninomiya, Yutaro Omote, 2019, Recent Advances in Natural Language Processing.

CKY-based Convolutional Attention for Neural Machine Translation

Akihiro Tamura, Takashi Ninomiya, Taiki Watanabe, 2017, IJCNLP.

A Japanese Masked Language Model for Academic Domain

Takashi Ninomiya, Tomoyuki Kajiwara, Marie Katsurai, 2022, SDP.

Improvement in Domain-Specific Named Entity Recognition by Utilizing the Real-World Data

Suzushi Tomori, Shinsuke Mori, Takashi Ninomiya, 2017 .

Efficacy of Beam Thresholding, Unification Filtering and Hybrid Parsing in Probabilistic HPSG Parsing

Jun'ichi Tsujii, Yusuke Miyao, Yoshimasa Tsuruoka, 2005, IWPT.

Fast and scalable HPSG parsing

Yusuke Miyao, Yoshimasa Tsuruoka, Kenjiro Taura, 2006 .

Transformer-based Approach for Predicting Chemical Compound Structures

Akihiro Tamura, Tomoya Iwakura, Takashi Ninomiya, 2020, AACL.