Songfang Huang

damo_nlp at MEDIQA 2021: Knowledge-based Preprocessing and Coverage-oriented Reranking for Medical Question Summarization

2021

Medical question summarization is an important but difficult task, where the input is often complex and erroneous while annotated data is expensive to acquire.

Biomedical Question Answering: A Survey of Approaches and Challenges

2021 · arXiv (Cornell University)

Automatic Question Answering (QA) has been successfully applied in various domains such as search engines and chatbots. Biomedical QA (BQA), as an emerging QA task, enables innovative applications to effectively perceive, access and understand complex …

Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling

2015

Syntactic features play an essential role in identifying relationship in a sentence. Previous neural network models directly work on raw word sequences or constituent parse trees, thus often suffer from irrelevant information introduced when subjects …

Question Answering on Freebase via Relation Extraction and Textual Evidence

2016

Existing knowledge-based question answering systems often rely on small annotated training data. While shallow methods like relation extraction are robust to data scarcity, they are less expressive than the deep meaning representation methods like semantic …