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Toolkit for Machine Learning, Natural Language Processing
Texar is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar provides a library of easy-to-use ML modules and functionalities for composing whatever models and algorithms. The tool is designed for both researchers and practitioners for fast prototyping and experimentation. Texar was originally developed and is actively contributed by Petuum and CMU in collaboration with other institutes. A mirror of this repository is maintained by Petuum Open Source. Two Versions, (Mostly) Same Interfaces. ...
Our project deals with the understanding problem in NLP. Taken a question (or any statement), L2S transforms (preprocesses, parses, retrieves, whatever) it into a concise SQL query and provides the answer.
In my opinion, the GUI is particularly ugly, we are working on it.
The current dataset is in Vietnamese.