Search Results for author:
Found 9 papers, 3 papers with code
Construction of Hierarchical Structured Knowledge-based Recommendation Dialogue Dataset and Dialogue System
We work on a recommendation dialogue system to help a user understand the appealing points of some target (e. g., a movie).
Constructing a Culinary Interview Dialogue Corpus with Video Conferencing Tool
Interview is an efficient way to elicit knowledge from experts of different domains.
JaMIE: A Pipeline Japanese Medical Information Extraction System with Novel Relation Annotation
In this paper, we first propose a novel relation annotation schema for investigating the medical and temporal relations between medical entities in Japanese medical reports.
JaMIE: A Pipeline Japanese Medical Information Extraction System
We present an open-access natural language processing toolkit for Japanese medical information extraction.
Modeling and Utilizing User's Internal State in Movie Recommendation Dialogue
In this paper, we model the UIS in dialogues, taking movie recommendation dialogues as examples, and construct a dialogue system that changes its response based on the UIS.
A System for Worldwide COVID-19 Information Aggregation
The global pandemic of COVID-19 has made the public pay close attention to related news, covering various domains, such as sanitation, treatment, and effects on education.
Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases
Applying natural language processing (NLP) to medical and clinical texts can bring important social benefits by mining valuable information from unstructured text.
FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance
On the other hand, the relevance between the query and answer can be learned by using QA pairs in a FAQ database.
