activity
20202024
most citedProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training

6 citations · 18 across the 11 of their papers we have counts for

collaborators

5 papers

cs.CL20222 cited

Relational Triple Extraction: One Step is Enough

Yu-Ming Shang, Heyan Huang, Xin Sun +2

Extracting relational triples from unstructured text is an essential task in natural language processing and knowledge graph construction. Existing approaches usually contain two f…

cs.CL2022

Cross-Lingual Phrase Retrieval

Heqi Zheng, Xiao Zhang, Zewen Chi +5

Cross-lingual retrieval aims to retrieve relevant text across languages. Current methods typically achieve cross-lingual retrieval by learning language-agnostic text representation…

eess.AS20225 cited

Efficient Non-Autoregressive GAN Voice Conversion using VQWav2vec Features and Dynamic Convolution

Mingjie Chen, Yanghao Zhou, Heyan Huang +1

It was shown recently that a combination of ASR and TTS models yield highly competitive performance on standard voice conversion tasks such as the Voice Conversion Challenge 2020 (…

cs.CL202221 cited

OneRel:Joint Entity and Relation Extraction with One Module in One Step

Yu-Ming Shang, Heyan Huang, Xian-Ling Mao

Joint entity and relation extraction is an essential task in natural language processing and knowledge graph construction. Existing approaches usually decompose the joint extractio…

cs.CL20206 cited

Ultra-Fast, Low-Storage, Highly Effective Coarse-grained Selection in Retrieval-based Chatbot by Using Deep Semantic Hashing

Tian Lan, Xian-Ling Mao, Xiaoyan Gao +2

We study the coarse-grained selection module in retrieval-based chatbot. Coarse-grained selection is a basic module in a retrieval-based chatbot, which constructs a rough candidate…