This registered report introduces the largest, and for the first time, reproducible experimental
survey on biomedical sentence similarity with the following aims:(1) to elucidate the state of …

In recent years, an increasing number of studies have focused on user requirement
modeling based on online review texts. However, traditional methods often overlook the …

In recent years, knowledge representation in the Artificial Intelligence (AI) domain is able to
help people understand the semantics of data and improve the interoperability between …

The purpose of text sanitization is to rewrite those text spans in a document that may directly
or indirectly identify an individual, to ensure they no longer disclose personal information …

Background Ontology-based semantic similarity measures based on SNOMED-CT, MeSH,
and Gene Ontology are being extensively used in many applications in biomedical text …

When learning concepts, cognitive psychology research has revealed that there are two
types of concept representations in the human brain: language-derived codes and sensory …

Measuring semantic similarity between sentences is a significant task in the fields of Natural
Language Processing (NLP), Information Retrieval (IR), and biomedical text mining. For this …

In the development of applications for mobile multimedia computing, it has been a core
problem to improve the efficiency of applications development. The use of Web APIs has …

The word similarity task is used to calculate the similarity of any pair of words, and is a basic
technology of natural language processing (NLP). The existing method is based on word …

As work changes, so does technology. The two coevolve as part of a work ecosystem. This
paper suggests a way of plotting this coevolution by comparing the embeddings-high …