Finding The Best Model Among Representative Compositional Models. - Masayasu Muraoka; Sonse Shimaoka; Kazeto Yamamoto; Yotaro Watanabe; Naoaki Okazaki; Kentaro Inui (PACLIC, 2014)

Recognizing Open-Vocabulary Relations between Objects in Images. - Masayasu Muraoka; Sumit Maharjan; Masaki Saito; Kota Yamaguchi; Naoaki Okazaki; Takayuki Okatani; Kentaro Inui (PACLIC, 2016)

A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task. - Hiroshi Kanayama; Masayasu Muraoka; Katsumasa Yoshikawa (CoNLL Shared Task (2), 2017)

Visual Objects As Context: Exploiting Visual Objects for Lexical Entailment. - Masayasu Muraoka; Tetsuya Nasukawa; Bishwaranjan Bhattacharjee (EMNLP (Findings), 2020)

Image Position Prediction in Multimodal Documents. - Masayasu Muraoka; Ryosuke Kohita; Etsuko Ishii (LREC, 2020)

Visual Concept Naming: Discovering Well-Recognized Textual Expressions of Visual Concepts. - Masayasu Muraoka; Tetsuya Nasukawa; Rudy Raymond; Bishwaranjan Bhattacharjee (WWW, 2020)

A Simple Yet Effective Corpus Construction Method for Chinese Sentence Compression. - Yang Zhao; Hiroshi Kanayama; Issei Yoshida; Masayasu Muraoka; Akiko Aizawa (LREC, 2022)

A Simple Yet Strong Domain-Agnostic De-bias Method for Zero-Shot Sentiment Classification. - Yang Zhao; Tetsuya Nasukawa; Masayasu Muraoka; Bishwaranjan Bhattacharjee (ACL (Findings), 2023)

Incorporating Syntactic Knowledge into Pre-trained Language Model using Optimization for Overcoming Catastrophic Forgetting. - Ran Iwamoto; Issei Yoshida; Hiroshi Kanayama; Takuya Ohko; Masayasu Muraoka (EMNLP (Findings), 2023)

Cross-Lingual Transfer of Large Language Model by Visually-Derived Supervision Toward Low-Resource Languages. - Masayasu Muraoka; Bishwaranjan Bhattacharjee; Michele Merler; Graeme Blackwood; Yulong Li; Yang Zhao (ACM Multimedia, 2023)

INDUS: Effective and Efficient Language Models for Scientific Applications. - Bishwaranjan Bhattacharjee; Aashka Trivedi; Masayasu Muraoka; Muthukumaran Ramasubramanian; Takuma Udagawa; Iksha Gurung; Nishan Pantha; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; et al. (EMNLP (Industry Track), 2024)

Robust ASR Error Correction with Conservative Data Filtering. - Takuma Udagawa; Masayuki Suzuki; Masayasu Muraoka; Gakuto Kurata (EMNLP (Industry Track), 2024)

Multiple Representation Transfer from Large Language Models to End-to-End ASR Systems. - Takuma Udagawa; Masayuki Suzuki; Gakuto Kurata; Masayasu Muraoka; George Saon (ICASSP, 2024)

INDUS: Effective and Efficient Language Models for Scientific Applications. - Bishwaranjan Bhattacharjee; Aashka Trivedi; Masayasu Muraoka; Muthukumaran Ramasubramanian; Takuma Udagawa; Iksha Gurung; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; Mike Little; et al. (CoRR, 2024)

A Simple-Yet-Efficient Instruction Augmentation Method for Zero-Shot Sentiment Classification. - Yang Zhao; Masayasu Muraoka; Issei Yoshida; Bishwaranjan Bhattacharjee; Hiroshi Kanayama (COLING, 2025)