11 citations · 12 across the 8 of their papers we have counts for
8 papers
Relation Geometry in Semantic Space of Language Models
Zhihan Cao, Hiroaki Yamada, Simone Teufel +4
When it comes to generating vector representations of words, current language models are achieving high-quality results. However, what is not known is the extent to which knowledge…
JBE-QA: Japanese Bar Exam QA Dataset for Assessing Legal Domain Knowledge
Zhihan Cao, Fumihito Nishino, Hiroaki Yamada +3
We introduce JBE-QA, a Japanese Bar Exam Question-Answering dataset to evaluate large language models' legal knowledge. Derived from the multiple-choice (tanto-shiki) section of th…
Augmenting Dialog with Think-Aloud Utterances for Modeling Individual Personality Traits by LLM
Seiya Ishikura, Hiroaki Yamada, Tatsuya Hiraoka +1
This study proposes augmenting dialog data with think-aloud utterances (TAUs) for modeling individual personalities in text chat by LLM. TAU is a verbalization of a speaker's thoug…
On the Distinctive Co-occurrence Characteristics of Antonymy
Zhihan Cao, Hiroaki Yamada, Takenobu Tokunaga
Antonymy has long received particular attention in lexical semantics. Previous studies have shown that antonym pairs frequently co-occur in text, across genres and parts of speech,…
Misalignment of Semantic Relation Knowledge between WordNet and Human Intuition
Zhihan Cao, Hiroaki Yamada, Simone Teufel +1
WordNet provides a carefully constructed repository of semantic relations, created by specialists. But there is another source of information on semantic relations, the intuition o…
A Comprehensive Evaluation of Semantic Relation Knowledge of Pretrained Language Models and Humans
Zhihan Cao, Hiroaki Yamada, Simone Teufel +1
Recently, much work has concerned itself with the enigma of what exactly pretrained language models~(PLMs) learn about different aspects of language, and how they learn it. One str…
GPTs and Language Barrier: A Cross-Lingual Legal QA Examination
Ha-Thanh Nguyen, Hiroaki Yamada, Ken Satoh
In this paper, we explore the application of Generative Pre-trained Transformers (GPTs) in cross-lingual legal Question-Answering (QA) systems using the COLIEE Task 4 dataset. In t…
Japanese Tort-case Dataset for Rationale-supported Legal Judgment Prediction
Hiroaki Yamada, Takenobu Tokunaga, Ryutaro Ohara +3
This paper presents the first dataset for Japanese Legal Judgment Prediction (LJP), the Japanese Tort-case Dataset (JTD), which features two tasks: tort prediction and its rational…