Papers by Ribeka Tanaka

3 papers
Constructing a Culinary Interview Dialogue Corpus with Video Conferencing Tool (2022.lrec-1)

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Challenge: Existing interview dialogue corpora are based on news interviews which serve the purpose of information broadcasting or entertainment.
Approach: They propose an interview dialogue corpus in the culinary domain in which interviewers play an active role to elicit culinary knowledge from the cooking expert.
Outcome: The proposed corpus consists of 308 interview dialogues, each about 13 minutes long, which add up to a total of 69,000 utterances.
Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases (2020.lrec-1)

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Challenge: Current annotation policies for medical corpora are not standardized across clinical texts of different types.
Approach: They propose to annotate medical records of various types using a named entity recognition (NER) task.
Outcome: The proposed annotation scheme is applicable to large-scale clinical NLP projects.
JaMIE: A Pipeline Japanese Medical Information Extraction System with Novel Relation Annotation (2022.lrec-1)

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Challenge: Existing tools for analyzing medical information extraction are limited . empirical results show satisfactory analyzing performance .
Approach: They propose a relation annotation schema for investigating medical and temporal relations in Japanese medical reports.
Outcome: The proposed schema shows that it performs better than existing models and is feasible for high-accuracy applications.

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