Abstract Automatic Text Summarization (ATS) is becoming much more important because of
the huge amount of textual content that grows exponentially on the Internet and the various …

Background With the rapid adoption of electronic health records (EHRs), it is desirable to
harvest information and knowledge from EHRs to support automated systems at the point of …

PromptSource is a system for creating, sharing, and using natural language prompts.
Prompts are functions that map an example from a dataset to a natural language input and …

Ontologies have gained a lot of popularity and recognition in the semantic web because of
their extensive use in Internet-based applications. Ontologies are often considered a fine …

Sarcasm is a common phenomenon in social media, and is inherently difficult to analyse, not
just automatically but often for humans too. It has an important effect on sentiment, but is …

We describe the design and use of the Stanford CoreNLP toolkit, an extensible pipeline that
provides core natural language analysis. This toolkit is quite widely used, both in the …

This paper addresses the problem of quantifying the differences between entity extraction
systems, where in general only a small proportion a document should be selected …

Ontologies are often viewed as the answer to the need for interoperable semantics in
modern information systems. The explosion of textual information on the Read/Write Web …

Part-of-speech information is a pre-requisite in many NLP algorithms. However, Twitter text
is difficult to part-of-speech tag: it is noisy, with linguistic errors and idiosyncratic style. We …

This software article describes the GATE family of open source text analysis tools and
processes. GATE is one of the most widely used systems of its type with yearly download …