This project involves parsing the Wiktionary pages for English into the most comprehensive digital dictionary ever created. The first two stages of this project have been done via grants to RV College of Engineering from LexisNexis Risk’s HPCC Systems group. In Progress This project is still in progress. Project Description […]
Dr. Jyoti Shetty is an Assistant Professor in the Computer Science and Engineering Department at the RV College of Engineering. In collaboration with students, she has executed several projects on HPCC Systems, including implementing a distributed DBSCAN, providing evaluation metrics for a clustering algorithm, and IoT plugin for HPCC Systems, an OpenCV […]
Nathalia Ribas is a Computer Engineering student at the Federal University of Santa Catarina (UFSC), Brazil and currently an employee at LexisNexis Risk Brazil. She was introduced to HPCC Systems in 2021 when she had the opportunity to study the HPCC platform in the cloud along with Elastic Stack for her […]
One of the more important projects we are currently working on is the creation of high school and college-level courses on NLP using NLP++. NLP courses at universities almost exclusively concentrate on statistical methods like Machine Learning, Neural Networks, and Large Language Models. NLP courses that do not use statistical […]
The medical text processing project is sponsored by LexisNexis Risk solutions HPCC systems in conjunction with Clemson University. This project is the master’s thesis for Clemson graduate student Ashton Williamson and involves using NLP++ to assign ICD codes to the Mimic Dataset. The project is mentored by Dr. Amy Apon […]
This project was an internship project by Kruthika Pinnada from RV College of Engineering who developed an analyzer capable of parsing the different sections of a resume, such as education, professional experience, and demographic, just like a human reader does. The parsed data supports the creation of a knowledge base […]
This project was from grant work provided by LexisNexis HPCC Systems to the University of Sao Paulo that produced by Pedro Lima Rodrigues under the guidance of Professor Renato de Oliveira Moraes and NLP++ co-author David de Hilster. This analyzer was specifically created to analyzer tweets about the Palmeiras Soccer […]
This was an internship project by Dheemonth Kolali in the summer of 2023 sponsored by HPCC Systems of LexisNexis Risk. The purpose of this NLP++ analyzer was to analyze tweets from cricket games to find out the sentiment out a cricket player or team. Project Description Cricket is a popular […]
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Human language and human culture have run hand-in-hand. Thinking about what it is to be human without language is impossible. From the first utterings of speech around 70,000 years ago, to computers taking dictation and translating speech today, language is fundamental to humanity’s growth as a species. One: Writing Systems […]
This paper compares the Stanford CoreNLP system to the NLP Development Environment that bundles NLP++ and VisualText. I also introduce the terms first- and second-generation NLP Systems. Introduction Information extraction from text has been a goal for computational linguists for several decades. In the early 1990s, DARPA sponsored a series […]
Ashton Williamson is a grad student at Clemson University finished his master’s thesis on processing and assigning ICD codes to medical text using NLP++. It is the first ever master’s thesis using NLP++ and includes the collection and analysis of free-text data from electronic health records and medical ontologies. This […]
Part of the Natural Language Understanding Global Initiative is the Global Dictionary Initiative. The idea is to product NLP++ dictionary files for all the major languages of the world. VisualText and NLP++ are being used to parse Wiktionary pages as well as other digital resources in order to create NLP++ […]
Amnon has more than three decades of cutting-edge experience in the area of natural language processing, leading the creation of innovative systems and approaches in aerospace and in the university. He is the creator of NLP++ and the Conceptual Grammar – the two components for the current NLP-Engine. Bio: MS […]
David de Hilster has over 40 years experience in practical NLP and is a consulting software engineer for LexisNexis and is currently part of the HPCC Systems super computing group. Before joining the company, David worked as a senior engineer/scientist for Text Analysis International, I-Search, TRW, McDonnell Douglas, and Battelle […]
I (David de Hilster) have been working in the area of practical Natural Language Processing (NLP) for almost 40 years and have seen the AI singularity being predicted at regular intervals over the past decades. Each generation seems to find something that will finally wipe out humankind. When I first […]
