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Satoshi Sekine

6 accepted papers

2024

JEMHopQA: Dataset for Japanese Explainable Multi-Hop Question Answering

COLING 2024main

We present JEMHopQA, a multi-hop QA dataset for the development of explainable QA systems. The dataset consists not only of question-answer pairs, but also of supporting evidence in the form of derivation triples, which contributes to making the QA task more realistic and difficult. It is created ba…

2024

WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia

AAAI 2024technical

Wikipedia can be edited by anyone and thus contains various quality sentences. Therefore, Wikipedia includes some poor-quality edits, which are often marked up by other editors. While editors' reviews enhance the credibility of Wikipedia, it is hard to check all edited text. Assisting in this proces…

2023

What is the Real Intention behind this Question? Dataset Collection and Intention Classification

ACL 2023long

Asking and answering questions are inseparable parts of human social life. The primary purposes of asking questions are to gain knowledge or request help which has been the subject of question-answering studies. However, questions can also reflect negative intentions and include implicit offenses, s…

Cited by 9SourcePDFScholar
2022

Iterative Span Selection: Self-Emergence of Resolving Orders in Semantic Role Labeling

COLING 2022main

Semantic Role Labeling (SRL) is the task of labeling semantic arguments for marked semantic predicates. Semantic arguments and their predicates are related in various distinct manners, of which certain semantic arguments are a necessity while others serve as an auxiliary to their predicates. To cons…

Cited by 2SourcePDFScholar
2022

Resource of Wikipedias in 31 Languages Categorized into Fine-Grained Named Entities

COLING 2022main

This paper describes a resource of Wikipedias in 31 languages categorized into Extended Named Entity (ENE), which has 219 fine-grained NE categories. We first categorized 920 K Japanese Wikipedia pages according to the ENE scheme using machine learning, followed by manual validation. We then organiz…

Cited by 0SourcePDFScholar
2021

Co-Teaching Student-Model through Submission Results of Shared Task

EMNLP 2021finding

Shared tasks have a long history and have become the mainstream of NLP research. Most of the shared tasks require participants to submit only system outputs and descriptions. It is uncommon for the shared task to request submission of the system itself because of the license issues and implementatio…