19 citations · 69 across the 10 of their papers we have counts for
10 papers
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese
Haochun Wang, Sendong Zhao, Zewen Qiang +9
Large Language Models (LLMs) have demonstrated remarkable success in diverse natural language processing (NLP) tasks in general domains. However, LLMs sometimes generate responses…
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification
Haochun Wang, Sendong Zhao, Chi Liu +4
Prompt-based classification adapts tasks to a cloze question format utilizing the [MASK] token and the filled tokens are then mapped to labels through pre-defined verbalizers. Rece…
Biomedical Knowledge Graph Refinement with Embedding and Logic Rules
Sendong Zhao, Bing Qin, Ting Liu +1
Currently, there is a rapidly increasing need for high-quality biomedical knowledge graphs (BioKG) that provide direct and precise biomedical knowledge. In the context of COVID-19,…
Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding
Dechuan Teng, Libo Qin, Wanxiang Che +2
In this paper, we improve Chinese spoken language understanding (SLU) by injecting word information. Previous studies on Chinese SLU do not consider the word information, failing t…
A Co-Interactive Transformer for Joint Slot Filling and Intent Detection
Libo Qin, Tailu Liu, Wanxiang Che +3
Intent detection and slot filling are two main tasks for building a spoken language understanding (SLU) system. The two tasks are closely related and the information of one task ca…
Biomedical Evidence Generation Engine
Sendong Zhao, Fei Wang
With the rapid development of precision medicine, a large amount of health data (such as electronic health records, gene sequencing, medical images, etc.) has been produced. It enc…
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment
Sendong Zhao, Chang Su, Andrea Sboner +1
Effective biomedical literature retrieval (BLR) plays a central role in precision medicine informatics. In this paper, we propose GRAPHENE, which is a deep learning based framework…
Towards Time-Aware Distant Supervision for Relation Extraction
Tianwen Jiang, Sendong Zhao, Jing Liu +5
Distant supervision for relation extraction heavily suffers from the wrong labeling problem. To alleviate this issue in news data with the timestamp, we take a new factor time into…
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization
Sendong Zhao, Ting Liu, Sicheng Zhao +1
State-of-the-art studies have demonstrated the superiority of joint modelling over pipeline implementation for medical named entity recognition and normalization due to the mutual…
A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations
Xi Sheryl Zhang, Dandi Chen, Yongjun Zhu +5
This paper presents details of our winning solutions to the task IV of NIPS 2017 Competition Track entitled Classifying Clinically Actionable Genetic Mutations. The machine learnin…