Hao Xiong

DGL-KE: Training Knowledge Graph Embeddings at Scale

2020 · arXiv (Cornell University)

Knowledge graphs have emerged as a key abstraction for organizing information in diverse domains and their embeddings are increasingly used to harness their information in various information retrieval and machine learning tasks. However, the ever …

How Do Initial and Interactive Social Cues Increase Customers’ Continuance Usage Intention of Chatbots?

2024 · International Journal of Human-Computer Interaction

Enterprises widely utilize chatbots as “intelligent customer service” because of their efficiency and low cost. However, customer complaints and doubts occur occasionally, and improving users’ willingness to continue to use is a crucial issue that …

Robust Neural Machine Translation with Joint Textual and Phonetic Embedding

2019

Neural machine translation (NMT) is notoriously sensitive to noises, but noises are almost inevitable in practice. One special kind of noise is the homophone noise, where words are replaced by other words with similar pronunciations. …

End-to-End Speech Translation with Knowledge Distillation

2019

End-to-end speech translation (ST), which directly translates from source language speech into target language text, has attracted intensive attentions in recent years.Compared to conventional pipepine systems, end-to-end ST models have advantages of lower latency, smaller …