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Found 8 papers, 1 papers with code
PAII-NLP at SMM4H 2021: Joint Extraction and Normalization of Adverse Drug Effect Mentions in Tweets
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
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.
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval
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.
A Neural Transition-based Joint Model for Disease Named Entity Recognition and Normalization
Disease is one of the fundamental entities in biomedical research.
Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms
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
Developing high-performance entity normalization algorithms that can alleviate the term variation problem is of great interest to the biomedical community.
An Information Retrieval Approach to Short Text Conversation
Human computer conversation is regarded as one of the most difficult problems in artificial intelligence.
