aliqiao Goto Github PK

aggcn

Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

bert_ner

Ner with Bert

casrel

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

casrel-pytorch-reimplement

Pytorch reimplement of the paper "A Novel Cascade Binary Tagging Framework for Relational Triple Extraction" ACL2020. The original code is written in keras.

constraint-loss-aaai-2020

The source code and dataset for our paper "Integrating Relation Constraints with Neural Relation Extractors" which is publicated at AAAI 2020

copy_re

Release for acl18 paper "Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism"

copymtl

AAAI20 "CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning"

corefbert

Source code for EMNLP 2020 paper "Coreferential Reasoning Learning for Language Representation"

coreference-resolution

Efficient and clean PyTorch reimplementation of "End-to-end Neural Coreference Resolution" (Lee et al., EMNLP 2017).

cross-sentence-relation-extraction-idepnn

diagnosere

Source code and dataset for the paper "Can Fine-tuning Pre-trained Models Lead to Perfect NLP? A Study of the Generalizability of Relation Extraction"

disentangled_graph_collaborative_filtering

Disentagnled Graph Collaborative Filtering, SIGIR2020

distre

[ACL 19] Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction

docred

Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

edvr

Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. EDVR has been merged into BasicSR and this repo is a mirror of BasicSR.

eye-segment

use STARE dataset to train an Unet model, which can segment vessel in eye picture

gap-coreference

GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of (ambiguous pronoun, antecedent name), sampled from Wikipedia for the evaluation of coreference resolution in practical applications.

gcn-over-pruned-trees

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)

glre

Global-to-Local Neural Networks for Document-Level Relation Extraction, EMNLP 2020

hrl-re

Joint Relation Extraction with Hierarchical Reinforcement Learning

joint_re

kcn

Project for knowledge-guided convolutional networks (KCN)

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

lexiconner

Lexicon-based Named Entity Recognition

lsr

Pytorch Implementation of our ACL 2020 Paper "Reasoning with Latent Structure Refinement for Document-Level 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).

name-entity-recognition

Lstm-crf,Lattice-CRF,bert-ner及近年ner相关论文follow

nary-grn

Code regarding to our paper "N-ary Relation Extraction using Graph State LSTM"

nary-relation-extraction-decomposed

Cross-sentence n-ary relation extraction with decomposed lower-arity universal schemas.

ner-pytorch

LSTM+CRF NER