Automatic scientific keyphrase extraction is a challenging problem facilitating several downstream scholarly tasks like search, recommendation, and ranking. In this paper, we introduce SEAL, a scholarly tool for automatic keyphrase extraction and ...

The abstract of a scientific paper distills the contents of the paper into a short paragraph. In the biomedical literature, it is customary to structure an abstract into discourse categories like BACKGROUND, OBJECTIVE, METHOD, RESULT, and CONCLUSION, ...

Hierarchical classification schemes are an effective and natural way to organize large document collections. However, complex schemes make the manual classification time-consuming and require domain experts. Current machine learning approaches for ...

Word embeddings enable state-of-the-art NLP workflows in im-portant tasks including semantic similarity matching, NER, question answering, and document classification. Recently also the biomedical field started to use word embeddings to provide new ...

Multivariate relations are general in various types of networks, such as biological networks, social networks, transportation networks, and academic networks. Due to the principle of ternary closures and the trend of group formation, the multivariate ...

Person names are essential and important entities in the Named Entity Recognition (NER) task. Traditional NER models have shown success in recognising well-formed person names from text with consistent and complete syntax, such as news articles. However,...