Yanzeng Li

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 …

Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge Base

2022 · arXiv (Cornell University)

Semantic parsing solves knowledge base (KB) question answering (KBQA) by composing a KB query, which generally involves node extraction (NE) and graph composition (GC) to detect and connect related nodes in a query. Despite the …

gBuilder: A Scalable Knowledge Graph Construction System for Unstructured Corpus

2022 · arXiv (Cornell University)

We design a user-friendly and scalable knowledge graph construction (KGC) system for extracting structured knowledge from the unstructured corpus. Different from existing KGC systems, gBuilder provides a flexible and user-defined pipeline to embrace the rapid …