Papers by Ai Ishii

1 papers
JEMHopQA: Dataset for Japanese Explainable Multi-Hop Question Answering (2024.lrec-main)

Copied to clipboard

Challenge: a dataset for explainable QA in Japanese is available for many languages, but not in other languages.
Approach: They present a multi-hop QA dataset based on Japanese Wikipedia . it includes question-answer pairs and supporting evidence in the form of derivation triples . they show that the dataset is sufficiently challenging for state-of-the-art LLMs based upon this dataset .
Outcome: The proposed dataset is based on Japanese Wikipedia and can be used to evaluate QA tasks.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations