Karina's repositories
biobert
BioBERT: a pre-trained biomedical language representation model
clinicalnlp-ade
Clinical NLP concept extraction of ADEs in the 2018 n2c2 Adverse Drug Events and Medication Extraction (Track 2). Includes data preprocessing, model training/evaluation scripts.
entity-aware-relation-classification
Tensorflow Implementation of "Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing" (arXiv 2019)
FewRel
A Large-Scale Few-Shot Relation Extraction Dataset
kbp37
relation classification dataset
khanCorpora
Crawling and parsing multilingual news
mtl-dts
Implementation for "Deeper Task-Specificity Improves Joint Entity and Relation Extraction"
multihead_joint_entity_relation_extraction
Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).
OpenNMT-py
Open Source Neural Machine Translation in PyTorch
R-BERT
Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"
RE_BERTs
PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper
ru-gpts
Russian GPT3 models.
SFUTranslate
Neural Machine Translation Toolkit by Natlang Laboratory at SFU
SK_MT_FOR_EVERYONE
SK T아카데미 모두를 위한 기계번역 세미나 자료
spert
PyTorch code for SpERT: Span-based Entity and Relation Transformer
tacred-relation
PyTorch implementation of the position-aware attention model for relation extraction
tanl
Structured Prediction as Translation between Augmented Natural Languages
text-to-text-transfer-transformer
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
two-are-better-than-one
Code associated with the paper **Two are Better Than One: Joint Entity and Relation Extraction with Table-Sequence Encoders**, at EMNLP 2020