Search Results for author: Zongcheng Ji

Found 8 papers, 1 papers with code

PAII-NLP at SMM4H 2021: Joint Extraction and Normalization of Adverse Drug Effect Mentions in Tweets

no code implementations NAACL (SMM4H) 2021 Zongcheng Ji, Tian Xia, Mei Han

This paper describes our system developed for the subtask 1c of the sixth Social Media Mining for Health Applications (SMM4H) shared task in 2021.

Bridging the Gap: Deciphering Tabular Data Using Large Language Model

no code implementations23 Aug 2023 Hengyuan Zhang, Peng Chang, Zongcheng Ji

This research marks the first application of large language models to table-based question answering tasks, enhancing the model's comprehension of both table structures and content.

Language Modelling Large Language Model +1

Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval

no code implementations Findings (EMNLP) 2021 Yanmeng Wang, Jun Bai, Ye Wang, Jianfei Zhang, Wenge Rong, Zongcheng Ji, Shaojun Wang, Jing Xiao

To keep independent encoding of questions and answers during inference stage, variational auto-encoder is further introduced to reconstruct answers (questions) from question (answer) embeddings as an auxiliary task to enhance QA interaction in representation learning in training stage.

Question Answering Representation Learning +2

Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms

no code implementations CVPR 2021 Yuxing Tang, Zhenjie Cao, Yanbo Zhang, Zhicheng Yang, Zongcheng Ji, Yiwei Wang, Mei Han, Jie Ma, Jing Xiao, Peng Chang

Starting with a fully supervised model trained on the data with pixel-level masks, the proposed framework iteratively refines the model itself using the entire weakly labeled data (image-level soft label) in a self-training fashion.

BERT-based Ranking for Biomedical Entity Normalization

no code implementations9 Aug 2019 Zongcheng Ji, Qiang Wei, Hua Xu

Developing high-performance entity normalization algorithms that can alleviate the term variation problem is of great interest to the biomedical community.

Word Embeddings

An Information Retrieval Approach to Short Text Conversation

1 code implementation29 Aug 2014 Zongcheng Ji, Zhengdong Lu, Hang Li

Human computer conversation is regarded as one of the most difficult problems in artificial intelligence.

Information Retrieval Retrieval +1

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