Learning to simulate natural language feedback for interactive semantic parsing
Interactive semantic parsing based on natural language (NL) feedback, where users provide
feedback to correct the parser mistakes, has emerged as a more practical scenario than the …
feedback to correct the parser mistakes, has emerged as a more practical scenario than the …
Coffee with a hint of data: towards using data-driven approaches in personalised long-term interactions
While earlier research in human-robot interaction pre-dominantly uses rule-based
architectures for natural language interaction, these approaches are not flexible enough for …
architectures for natural language interaction, these approaches are not flexible enough for …
Evaluation toolkit for robustness testing of automatic essay scoring systems
Automatic scoring engines have been used for scoring approximately fifteen million test-
takers in just the last three years. This number is increasing further due to COVID-19 and the …
takers in just the last three years. This number is increasing further due to COVID-19 and the …
Оцінка ефективності різних моделей навчання чат-ботів на діалогових наборах даних
РО Ляшенко - 2024 - elibrary.kdpu.edu.ua
У кваліфікаційній роботі досліджена ефективність різних моделей навчання чат-ботів
на діалогових наборах даних. Основні результати дослідження: 1. Проведено …
на діалогових наборах даних. Основні результати дослідження: 1. Проведено …
Bibliometric analysis of chatbot training research: key concepts and trends
R Liashenko, S Semerikov - 2024 - ds.knu.edu.ua
This bibliometric analysis aims to identify current research directions and priorities in the
field of chatbot training–software agents capable of natural language dialogue. The study is …
field of chatbot training–software agents capable of natural language dialogue. The study is …