Papers by Hitoshi Nishikawa

3 papers
Analysis of Implicit Conditions in Database Search Dialogues (L18-1)

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Challenge: Annotators annotated 50 database search dialogues with database field tags . 10% of the utterances included non-database-field information, authors say .
Approach: They propose to annotate database search dialogues on real estate and analyse their utterances for database queries.
Outcome: The proposed method can extract the implicit conditions from user utterances and construct queries.
Interpretation of Implicit Conditions in Database Search Dialogues (C18-1)

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Challenge: Existing attempts to extract information from user utterances in database search dialogues have failed .
Approach: They propose to utilise information in user utterances that do not directly mention database fields for constructing database queries.
Outcome: The proposed model performs better than the existing model on a real estate agent-customer dialogue.
Gamification Platform for Collecting Task-oriented Dialogue Data (2020.lrec-1)

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Challenge: a crowd-sourced approach to gather dialogue data is still a challenge due to the complexity of human dialogue structure and diversity of dialogue topics.
Approach: They propose a platform for collecting task-oriented situated dialogue data by using gamification.
Outcome: The proposed platform collects task-oriented situated dialogue data by using gamification.

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