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2020 – today
- 2024
[c13]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, Michael Little, Elizabeth Fancher, Irina Gerasimov, Armin Mehrabian, Lauren M. Sanders, Sylvain Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Tsengdar J. Lee:
INDUS: Effective and Efficient Language Models for Scientific Applications. EMNLP (Industry Track) 2024: 98-112- [c12]Takuma Udagawa, Masayuki Suzuki, Masayasu Muraoka, Gakuto Kurata:
Robust ASR Error Correction with Conservative Data Filtering. EMNLP (Industry Track) 2024: 256-266 - [c11]Takuma Udagawa, Masayuki Suzuki, Gakuto Kurata, Masayasu Muraoka, George Saon:
Multiple Representation Transfer from Large Language Models to End-to-End ASR Systems. ICASSP 2024: 10176-10180 - [i3]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, Elizabeth Fancher, Lauren M. Sanders, Sylvain V. Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan
, Armin Mehrabian, Tsengdar J. Lee:
INDUS: Effective and Efficient Language Models for Scientific Applications. CoRR abs/2405.10725 (2024) - [i2]Takuma Udagawa, Masayuki Suzuki, Masayasu Muraoka, Gakuto Kurata:
Robust ASR Error Correction with Conservative Data Filtering. CoRR abs/2407.13300 (2024) - 2023
- [c10]Yang Zhao, Tetsuya Nasukawa, Masayasu Muraoka, Bishwaranjan Bhattacharjee:
A Simple Yet Strong Domain-Agnostic De-bias Method for Zero-Shot Sentiment Classification. ACL (Findings) 2023: 3923-3931 - [c9]Ran Iwamoto, Issei Yoshida, Hiroshi Kanayama, Takuya Ohko, Masayasu Muraoka:
Incorporating Syntactic Knowledge into Pre-trained Language Model using Optimization for Overcoming Catastrophic Forgetting. EMNLP (Findings) 2023: 10981-10993 - [c8]Masayasu Muraoka, Bishwaranjan Bhattacharjee, Michele Merler, Graeme Blackwood, Yulong Li, Yang Zhao:
Cross-Lingual Transfer of Large Language Model by Visually-Derived Supervision Toward Low-Resource Languages. ACM Multimedia 2023: 3637-3646 - [i1]Takuma Udagawa, Masayuki Suzuki, Gakuto Kurata, Masayasu Muraoka, George Saon:
Multiple Representation Transfer from Large Language Models to End-to-End ASR Systems. CoRR abs/2309.04031 (2023) - 2022
- [c7]Yang Zhao, Hiroshi Kanayama, Issei Yoshida, Masayasu Muraoka, Akiko Aizawa:
A Simple Yet Effective Corpus Construction Method for Chinese Sentence Compression. LREC 2022: 6874-6883 - 2020
- [c6]Masayasu Muraoka, Tetsuya Nasukawa, Bishwaranjan Bhattacharjee:
Visual Objects As Context: Exploiting Visual Objects for Lexical Entailment. EMNLP (Findings) 2020: 2723-2735 - [c5]Masayasu Muraoka, Ryosuke Kohita, Etsuko Ishii:
Image Position Prediction in Multimodal Documents. LREC 2020: 4265-4274 - [c4]Masayasu Muraoka, Tetsuya Nasukawa, Rudy Raymond, Bishwaranjan Bhattacharjee:
Visual Concept Naming: Discovering Well-Recognized Textual Expressions of Visual Concepts. WWW 2020: 2556-2562
2010 – 2019
- 2017
- [c3]Hiroshi Kanayama, Masayasu Muraoka, Katsumasa Yoshikawa:
A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task. CoNLL Shared Task (2) 2017: 265-273 - 2016
- [c2]Masayasu Muraoka, Sumit Maharjan, Masaki Saito, Kota Yamaguchi, Naoaki Okazaki, Takayuki Okatani, Kentaro Inui:
Recognizing Open-Vocabulary Relations between Objects in Images. PACLIC 2016 - 2014
- [c1]Masayasu Muraoka, Sonse Shimaoka, Kazeto Yamamoto, Yotaro Watanabe, Naoaki Okazaki, Kentaro Inui:
Finding The Best Model Among Representative Compositional Models. PACLIC 2014: 65-74
Coauthor Index
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