Hongliang Dai

Exploiting Semantic Relations for Fine-grained Entity Typing

2020 · Rare & Special e-Zone (The Hong Kong University of Science and Technology)

Fine-grained entity typing results can serve as important information for entities while constructing knowledge bases. It is a challenging task due to the use of large tag sets and the requirement of understanding the context. …

Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model

2021

Hongliang Dai, Yangqiu Song, Haixun Wang. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.

An Empirical Investigation of Domain Adaptation Ability for Chinese Spelling Check Models

2024 · arXiv (Cornell University)

Chinese Spelling Check (CSC) is a meaningful task in the area of Natural Language Processing (NLP) which aims at detecting spelling errors in Chinese texts and then correcting these errors. However, CSC models are based …

ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference

2024 · Proceedings of the AAAI Conference on Artificial Intelligence

Early Exiting is one of the most popular methods to achieve efficient inference. Current early exiting methods adopt the (weighted) sum of the cross entropy loss of all internal classifiers as the objective function during …