Social researchers often apply qualitative research methods to study groups and their communications artefacts. The use of computer-mediated communications has dramatically increased the volume of text available, but coding such text requires considerable manual effort. We discuss how systems that process text in human languages (i.e., natural language processing, NLP) might partially automate ...

In this paper, we introduce a new algorithm for solving nonlinear programming (NLP) problems. It is an extension of Guo’s algorithm[1] which possesses enhanced capabilities for solving NLP problems. These capabilities include: a) advancing the variable subspace, b) adding a search process over subspaces and normalized constraints, c) using an adaptive penalty function, and d) adding the ability...

Most conventional natural language processing (NLP) tools assume plain text as their input, whereas real-world documents display text more expressively, using a variety of layouts, sentence structures, and inline objects, among others. When NLP tools are applied to such text, users must first convert the text into the input/output formats of the tools. Moreover, this awkwardly obtained input ty...

BACKGROUND An eye injury that causes no light perception (NLP) typically carries an unfavorable prognosis, and NLP because of trauma is a common indication for enucleation. With advances in vitreoretinal surgical techniques, however, the indication for enucleation is no longer determined by posttrauma NLP vision alone. There are limited studies in the literature to analyse the outcome of NLP ey...

BACKGROUND Thus far, no algorithms have been developed to automatically extract patients who meet Asthma Predictive Index (API) criteria from the Electronic health records (EHR) yet. Our objective is to develop and validate a natural language processing (NLP) algorithm to identify patients that meet API criteria. METHODS This is a cross-sectional study nested in a birth cohort study in Olmste...

Recently there has been a growing interest in infrastructures for sharing NLP tools and resources. This paper presents SiSSA, a project that aims at developing an infrastructure for prototyping, editing and validation of NLP application architectures. The system will provide the user with a graphical environment for (1) selecting the NLP activities relevant for the particular NLP task and the a...

IXA pipeline is a modular set of Natural Language Processing tools (or pipes) which provide easy access to NLP technology. It aims at lowering the barriers of using NLP technology both for research purposes and for small industrial developers and SMEs by offering robust and efficient linguistic annotation to both researchers and non-NLP experts. IXA pipeline can be used “as is” or exploit its m...

In Natural Language Processing (NLP), research results from software engineering and software technology have often been neglected. This paper describes some factors that add complexity to the task of engineering reusable NLP systems (beyond conventional software systems). Current work in the area of design patterns and composition languages is described and claimed relevant for natural languag...

Neuromodulation enables transient restructuring of anatomically fixed neural circuits, generating alternate outputs and distinct states that allow for flexible organismal responses to changing conditions. We recently identified a requirement for the neuropeptide-like protein NLP-12, a Caenorhabditis elegans homolog of mammalian Cholecystokinin (CCK), in the control of behavioral responses to al...

UNLABELLED BACKGROUND One challenge in reusing clinical data stored in electronic medical records is that these data are heterogenous. Clinical Natural Language Processing (NLP) plays an important role in transforming information in clinical text to a standard representation that is comparable and interoperable. Information may be processed and shared when a type system specifies the allowab...