1 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA datasets with Large Language Models
Ronak Pradeep, Daniel Lee, Ali Mousavi +7
The rapid advancement of Large Language Models (LLMs) and conversational assistants necessitates dynamic, scalable, and configurable conversational datasets for training and evalua…
Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs
Simone Conia, Min Li, Daniel Lee +3
Recent work in Natural Language Processing and Computer Vision has been using textual information -- e.g., entity names and descriptions -- available in knowledge graphs to ground…