Siva Reddy

GraphParser is a semantic parser which can convert natural language sentences to logical forms and graphs.

A framework to convert Universal Dependencies to Logical Forms

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Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Python library for reading ClueWeb09's warc files

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An unstable, still under construction, but updated version of the Parser repo, used for Stanford's submission in the CoNLL17 shared task.

A dependency tree visualizer for the Stanford Typed-Dependency Parser

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A Text-Based Environment for Interactive Debugging

Natural Language Processing Research in North American Linguistics Departments

Beyond the Imitation Game collaborative benchmark for enormous language models

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More Accurate Question Answering on Freebase

Bidirectional Long-Short Term Memory tagger (bi-LSTM) (in DyNet) -- hierarchical (with word and character embeddings)

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Data loaders and abstractions for text and NLP

"Dependency Parsing toolbox" integrates different algorithms related to dependency parsing in one place. This toolbox has been developed by Mojtaba Khallash from Iran University of Science and Technology (IUST).

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Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School