NLP4J

NLP components are often used at the core of language technologies. The goal of this project is to develop NLP components readily available for researches in many disciplines (demo).

Character Mining

Wouldn't it be great if machines understand human conversation? The goal of this project is to build a knowledge-base containing aspects about characters in multi-party dialogue.

Question Answering

Machines these days can answer questions in natural language. The goal of this project is to develop a system that finds answers for various types of questions from unstructured data.

Deep Dependency

Representing a document as a big dependency graph? The goal of this project is to develop a dependency representation that is coherent across surface forms and rich in relations.

Radiology NLP

Is it possible for machines to diagnose your health? The goal of this project is to build a system that evaluates degrees of severity for several health conditions from radiology reports.

Resources

Type: corpus.
Classification of non-referential it on question-answer pairs.

Type: corpus, software.
Selection-based question answering.

Type: lexicons, software.
Sentiment analysis using lexicon embeddings.

Faculty

Jinho Choi
Director

Graduate

Tomasz Jurczyk
Ph.D. in Computer Science

Bonggun Shin
Ph.D. in Computer Science

Post-Bac

Timothy Lee
B.A. in Computer Science

Undergraduate

Michael Zhai
B.S. in Computer Science
and Mathematics

Henry Chen
B.S. in Computer Science
and Mathematics

Tarrek Shaban
B.S. in Computer Science
B.A. in Political Science

Hang Jiang
B.A. in Computer Science
B.A. in Linguistics

Ethan Zhou
B.S. in Computer Science and Mathematics

Publications


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