Data Extraction by Using Natural Language Processing Tool

Analyzing Discourse Processing Using a Simple Natural Language Processing Tool

Analyzing Discourse Processing Using a Simple Natural Language Processing Tool Scott A. Crossley, Laura K. Allen, Kristopher Kyle & Danielle S. McNamara To cite this article: Scott A. Crossley, Laura K. Allen, Kristopher Kyle & Danielle S. McNamara (2014) Analyzing Discourse Processing Using a Simple Natural Language Processing Tool, Discourse Processes, 51:5-6, 511-534, DOI: 10.1080/0163853X.2...

Geographic information extraction using natural language processing in Wikipedia texts

Geographic information extracted from texts is a valuable source of location data about documents, which can be used to improve information retrieval and document indexing. Linked Data and digital gazetteers provide a large amount of data that can support the recognition of places mentioned in text. Natural Language Processing techniques, which have evolved significantly over the last years, of...

Using Natural Language Processing for Autism Trigger Extraction

A Flexible Language Acquisition Tool Kit for Natural Language Processing

The paper describes a Flexible Language Acquisition Tool (FLAT) kit, a suite of multipurpose interactive tools for developing NLP systems and/or training computational linguists. The kit facilitates the use of linguistic expertise in developing NLP applications and allows for maintaining and improving a system output without extra programming effort. It can be used for any language based on ANS...

A Tidy Data Model for Natural Language Processing using cleanNLP

Recent advances in natural language processing have produced libraries that extract lowlevel features from a collection of raw texts. These features, known as annotations, are usually stored internally in hierarchical, tree-based data structures. This paper proposes a data model to represent annotations as a collection of normalized relational data tables optimized for exploratory data analysis...