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Found 3 papers, 3 papers with code
Hero-Gang Neural Model For Named Entity Recognition
Named entity recognition (NER) is a fundamental and important task in NLP, aiming at identifying named entities (NEs) from free text.
Ranked #1 on
Named Entity Recognition (NER)
on WNUT 2016
Cross-modal Memory Networks for Radiology Report Generation
Medical imaging plays a significant role in clinical practice of medical diagnosis, where the text reports of the images are essential in understanding them and facilitating later treatments.
Word Graph Guided Summarization for Radiology Findings
In this paper, we propose a novel method for automatic impression generation, where a word graph is constructed from the findings to record the critical words and their relations, then a Word Graph guided Summarization model (WGSum) is designed to generate impressions with the help of the word graph.
