4 papers
Feedback by Design: Understanding and Overcoming User Feedback Barriers in Conversational Agents
Nikhil Sharma, Zheng Zhang, Daniel Lee +4
High-quality feedback is essential for effective human-AI interaction. It bridges knowledge gaps, corrects digressions, and shapes system behavior; both during interaction and thro…
Comprehensive Evaluation for a Large Scale Knowledge Graph Question Answering Service
Saloni Potdar, Daniel Lee, Omar Attia +8
Question answering systems for knowledge graph (KGQA), answer factoid questions based on the data in the knowledge graph. KGQA systems are complex because the system has to underst…
KG-TRICK: Unifying Textual and Relational Information Completion of Knowledge for Multilingual Knowledge Graphs
Zelin Zhou, Simone Conia, Daniel Lee +6
Multilingual knowledge graphs (KGs) provide high-quality relational and textual information for various NLP applications, but they are often incomplete, especially in non-English l…
Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs
Simone Conia, Daniel Lee, Min Li +3
Translating text that contains entity names is a challenging task, as cultural-related references can vary significantly across languages. These variations may also be caused by tr…