In this paper, we describe the Lithium Natural Language Processing (NLP) system a resource-constrained, highthroughput and language-agnostic system for information extraction from noisy user generated text on social media. Lithium NLP extracts a rich set of information including entities, topics, hashtags and sentiment from text. We discuss several real world applications of the system currentl...

When designing Natural Language Processing (NLP) applications that use Machine Learning (ML) techniques, feature extraction becomes a significant part of the development effort, whether developing a new application or attempting to reproduce results reported for existing NLP tasks. We present EDISON, a Java library of feature generation functions used in a suite of state-of-the-art NLP tools, b...

We present Kathaa, an Open Source web-based Visual Programming Framework for Natural Language Processing (NLP) Systems. Kathaa supports the design, execution and analysis of complex NLP systems by visually connecting NLP components from an easily extensible Module Library. It models NLP systems an edge-labeled Directed Acyclic MultiGraph, and lets the user use publicly co-created modules in the...

NLP track has been organized for the first time at TREC-5 to provide a more focused look at how NLP techniques can help in achieving better performance in information retrieval. The intent was to see if NLP techniques available today are mature enough to have an impact on IR, specifically if and when they can offer an advantage over purely quantitative methods. This was also a place to try some...

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 ...