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🐍🚧 Experimental tool for SRL learning in Python. For something more stable, see: https://github.com/srlearn/srlearn
☕ A Python library for gradient-boosted statistical relational models / learning probabilistic relational programs.
Parser and standardizer for politician, individual and organization names.
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
PubMedQA: A Dataset for Biomedical Research Question Answering
Context aware, pluggable and customizable data protection and de-identification SDK for text and images
Face Recognition Project For ML class, EL9123, 17FALL
fine tune a pre-trained vgg face using triplet loss in keras
Datasets for the paper "Improving the Robustness of Question Answering Systems to Question Paraphrasing" (ACL 2019)
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
Implementation code for the paper "Generating Natural Language Adversarial Examples"
Improving Knowledge Graph Embedding Using Simple Constraints (ACL-2108)
An Open-Source Package for Knowledge Embedding (KE)
Knowledge Representation Learning with Entities, Attributes and Relations
A methodology to process triples data from the Freebase data dumps.
A collection of research on knowledge graphs
Knowledge Graph Embedding Based Question Answering
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
Authors' implementation of EMNLP-IJCNLP 2019 paper "Answering Complex Open-domain Questions Through Iterative Query Generation"