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inINK-USC (press backspace or delete to remove)Natural language processing
Natural language processing (NLP) is the study of how computers and humans interact.
Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)
- Python
- 274
- Updated on Jul 5, 2020
A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning
- Python
- 140
- Updated on Jan 5, 2024
Automatic Entity Recognition and Typing for Domain-Specific Corpora (KDD'15)
- Python
- 98
- Updated on Jul 7, 2017
Source code for paper "Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction" (EMNLP…
- C++
- 39
- Updated on Oct 29, 2019
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge
- Python
- 15
- Updated on Oct 20, 2021
This is the official PyTorch implementation of our NeurIPS 2021 paper: "SalKG: Learning From Knowledge Graph Explanations for Commonsense…
- Python
- 14
- Updated on Jun 9, 2022
Code for "Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models"
- Python
- 12
- Updated on May 11, 2022

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Natural language processing (NLP) is the study of how computers and humans interact.

Sponsor open source projects you depend on
Contributors are working behind the scenes to make open source better for everyone—give them the help and recognition they deserve.Explore sponsorable projectsProTip!
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