51 citations · 100 across the 14 of their papers we have counts for
18 papers
Textual Enhanced Contrastive Learning for Solving Math Word Problems
Yibin Shen, Qianying Liu, Zhuoyuan Mao +2
Solving math word problems is the task that analyses the relation of quantities and requires an accurate understanding of contextual natural language information. Recent studies sh…
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?
Zhuoyuan Mao, Chenhui Chu, Raj Dabre +3
Word alignment has proven to benefit many-to-many neural machine translation (NMT). However, high-quality ground-truth bilingual dictionaries were used for pre-editing in previous…
Linguistically-driven Multi-task Pre-training for Low-resource Neural Machine Translation
Zhuoyuan Mao, Chenhui Chu, Sadao Kurohashi
In the present study, we propose novel sequence-to-sequence pre-training objectives for low-resource machine translation (NMT): Japanese-specific sequence to sequence (JASS) for la…
JaMIE: A Pipeline Japanese Medical Information Extraction System
Fei Cheng, Shuntaro Yada, Ribeka Tanaka +2
We present an open-access natural language processing toolkit for Japanese medical information extraction. We first propose a novel relation annotation schema for investigating the…
Frustratingly Easy Edit-based Linguistic Steganography with a Masked Language Model
Honai Ueoka, Yugo Murawaki, Sadao Kurohashi
With advances in neural language models, the focus of linguistic steganography has shifted from edit-based approaches to generation-based ones. While the latter's payload capacity…
Modeling and Utilizing User's Internal State in Movie Recommendation Dialogue
Takashi Kodama, Ribeka Tanaka, Sadao Kurohashi
Intelligent dialogue systems are expected as a new interface between humans and machines. Such an intelligent dialogue system should estimate the user's internal state (UIS) in dia…