Simple vector space model retrieval system
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Updated
Feb 6, 2018 - Java
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
Simple vector space model retrieval system
Creates output files containing word counts and P.O.S. Tag distribution using Stanford's Core NLP library
A search engine to index and query documents
Gachon University, Korea - Dept of software - Graduation Project
In this project, we try to reproduce the paper 'Comparing Measures of Semantic Similarity' by Nikola Ljubešić et al. which aims at comparing different methods for automatic extraction of semantic similarity mesaures from a corpus.
This implements the Viterbi Algorithm in Java for Parts of Speech Tagging, generating a comprehensive accuracy and F1 score.
My legal background gave me a deep appreciation for language's importance. It's not just words; it's a profound understanding woven into every case. This connection led me to coding, where I coded a potent pipeline system with Stanford CoreNLP.
Speech-Emotion-Recognition-app
This project illustrates using https://api.ai/ for enabling rich conversation in Russian.
A modified version of the Stanford CoreNLP full 3.6.0, in which the machine reading classes for Relation Extraction now support extra parameters for definitions of custom NER entities.
A multiclass-perceptron based Part-of-Speech tagger
Created by Alan Turing