Patrick Ng

Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering

2021

Question answering over knowledge bases (KBQA) usually involves three sub-tasks, namely topic entity detection, entity linking and relation detection. Due to the large number of entities and relations inside knowledge bases (KB), previous work usually …

REKnow: Enhanced Knowledge for Joint Entity and Relation Extraction

2022 · arXiv (Cornell University)

Relation extraction is an important but challenging task that aims to extract all hidden relational facts from the text. With the development of deep language models, relation extraction methods have achieved good performance on various …

Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering

2019

Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.

Universal Text Representation from BERT: An Empirical Study

2019 · arXiv (Cornell University)

We present a systematic investigation of layer-wise BERT activations for general-purpose text representations to understand what linguistic information they capture and how transferable they are across different tasks. Sentence-level embeddings are evaluated against two state-of-the-art …