Emory Language Information Toolkit

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).

Question
Answering

Machines these days can answer questions in natural language. The goal of this project is to develop a computational model that answers complex questions through logical reasoning.

Character
Mining

Can machines understand human conversation? The goal of this project is to build a system that minds various aspects about people such as emotions by observing their conversations.

Meaning
Representation

Time for touching the very last circle of linguistic structure. The goal of this project is to represent implicit and explicit meaning of natural language into dependency graphs.

Radiology
NLP

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