Tell Me What You Read: Automatic Expertise-Based Annotator Assignment for Text Annotation in Expert Domains

no code implementations • RANLP 2021 • Hiyori Yoshikawa, Tomoya Iwakura, Kimi Kaneko, Hiroaki Yoshida, Yasutaka Kumano, Kazutaka Shimada, Rafal Rzepka, Patrycja Swieczkowska

To address the issue, we propose a method to estimate the domain expertise of each annotator before the annotation process using information easily available from the annotators beforehand.

text annotation

Annotation and Analysis of Discourse Relations, Temporal Relations and Multi-Layered Situational Relations in Japanese Texts

no code implementations • WS 2016 • Kimi Kaneko, Saku Sugawara, Koji Mineshima, Daisuke Bekki

This paper proposes a methodology for building a specialized Japanese data set for recognizing temporal relations and discourse relations.

Natural Language Inference Question Answering +1

Toward a Discourse Theory for Annotating Causal Relations in Japanese

no code implementations • PACLIC 2014 • Kimi Kaneko, Daisuke Bekki

Relation Extraction

Building a Japanese Corpus of Temporal-Causal-Discourse Structures Based on SDRT for Extracting Causal Relations

no code implementations • WS 2014 • Kimi Kaneko, Daisuke Bekki

Relation Extraction

Building Japanese Textual Entailment Specialized Data Sets for Inference of Basic Sentence Relations

no code implementations • ACL 2013 • Kimi Kaneko, Yusuke Miyao, Daisuke Bekki

Natural Language Inference Sentence