6 citations · 41 across the 52 of their papers we have counts for
6 papers · 1 filter
Constructing Multilingual Code Search Dataset Using Neural Machine Translation
Ryo Sekizawa, Nan Duan, Shuai Lu +1
Code search is a task to find programming codes that semantically match the given natural language queries. Even though some of the existing datasets for this task are multilingual…
Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models
Tomoki Sugimoto, Yasumasa Onoe, Hitomi Yanaka
Natural Language Inference (NLI) tasks involving temporal inference remain challenging for pre-trained language models (LMs). Although various datasets have been created for this t…
A neuro-symbolic approach for multimodal reference expression comprehension
Aman Jain, Anirudh Reddy Kondapally, Kentaro Yamada +1
Human-Machine Interaction (HMI) systems have gained huge interest in recent years, with reference expression comprehension being one of the main challenges. Traditionally human-mac…
Analyzing Syntactic Generalization Capacity of Pre-trained Language Models on Japanese Honorific Conversion
Ryo Sekizawa, Hitomi Yanaka
Using Japanese honorifics is challenging because it requires not only knowledge of the grammatical rules but also contextual information, such as social relationships. It remains u…
Does Character-level Information Always Improve DRS-based Semantic Parsing?
Tomoya Kurosawa, Hitomi Yanaka
Even in the era of massive language models, it has been suggested that character-level representations improve the performance of neural models. The state-of-the-art neural semanti…
Is Japanese CCGBank empirically correct? A case study of passive and causative constructions
Daisuke Bekki, Hitomi Yanaka
The Japanese CCGBank serves as training and evaluation data for developing Japanese CCG parsers. However, since it is automatically generated from the Kyoto Corpus, a dependency tr…