BACKGROUND Neurolinguistic programming (NLP) in health care has captured the interest of doctors, healthcare professionals, and managers. AIM To evaluate the effects of NLP on health-related outcomes. DESIGN AND SETTING Systematic review of experimental studies. METHOD The following data sources were searched: MEDLINE, PsycINFO, ASSIA, AMED, CINAHL, Web of Knowledge, CENTRAL, NLP speciali...

When NLP is used to support research in the humanities, new methodological issues come into play. NLP methods may introduce a bias in their analysis that can influence the results of the hypothesis a humanities scholar is testing. This paper addresses this issue in the context of BiographyNet a multi-disciplinary project involving NLP, Linked Data and history. We introduce the project to the NL...

Natural Language Processing continues to grow in popularity in a range of research and commercial applications, yet managing the wide array of potential NLP components remains a difficult problem. This paper describes CURATOR, an NLP management framework designed to address some common problems and inefficiencies associated with building NLP process pipelines; and EDISON, an NLP data structure ...

Abstract Funding for AI start-ups in general is booming, and natural language processing as a subfield has not missed out. We take closer look at early-stage funding over the last year—just US$1B total—for companies that offer solutions are based on or make significant use of NLP, providing picture what funders think innovative bankable this space, we some observations notable trends developmen...

With an eye to increased efficiency, agent communication language (ACL) designers have heeded the analogy with natural language and introduced elements from natural language pragmatics (NLP) into their designs. However, ACL pragmatics has not availed itself of NLP advances to the extent that it could. While a few aspects of pragmatics are incorporated, most notably speech acts, their inclusion ...

Through Natural Language Processing (NLP) techniques, information can be extracted from clinical narratives for a variety of applications (e.g., patient management). While the complex and nested output of NLP systems can be expressed in standard formats, such as the eXtensible Markup Language (XML), these representations may not be directly suitable for certain end-users or applications. The av...