Tingwen Liu

Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention

2019 · arXiv (Cornell University)

Most Chinese pre-trained models take character as the basic unit and learn representation according to character's external contexts, ignoring the semantics expressed in the word, which is the smallest meaningful utterance in Chinese. Hence, we …

Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention

2020

Most Chinese pre-trained models take character as the basic unit and learn representation according to character's external contexts, ignoring the semantics expressed in the word, which is the smallest meaningful utterance in Chinese. Hence, we …

Adaptive Attentional Network for Few-Shot Knowledge Graph Completion

2020

Few-shot Knowledge Graph (KG) completion is a focus of current research, where each task aims at querying unseen facts of a relation given its few-shot reference entity pairs. Recent attempts solve this problem by learning …

TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking

2020

Extracting entities and relations from unstructured text has attracted increasing attention in recent years but remains challenging, due to the intrinsic difficulty in identifying overlapping relations with shared entities. Prior works show that joint learning …