vhientran Goto Github PK
Name: VHT
Type: User
Bio: NLP Researcher
Location: Kyoto, Japan
Name: VHT
Type: User
Bio: NLP Researcher
Location: Kyoto, Japan
Here is the code for the paper ``Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations'' accepted by EMNLP2020.
Code and dataset for "Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction" (EMNLP'19)
Python Implementation of Reinforcement Learning: An Introduction
code of Relation Classification via Multi-Level Attention CNNs
Reinforcement Learning for Relation Classification from Noisy Data(AAAI2018)
This project contains resource for "Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases"
Code and data for Improving Relation Extraction with Relational Paraphrase Sentences
EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
2021 Multi-Teacher Distillation with Single Model for Neural Machine Translation
Improving Both Domain Robustness and Domain Adaptability in Machine Translation (COLING 2022)
Code for the paper "Relation of the Relations: A New Formalization of the Relation Extraction Problem"
Source code for IJCAI 2020 paper "A Relation-Specific Attention Network for Joint Entity and Relation Extraction"
Implementation for SA-LSTM
Example code and data for paper Beyond Word Attention: Using Segment Attention in Neural Relation Extraction (IJCAI 2019).
acl 2021 selective distillation for nmt
Source code for Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory
The source code of paper "SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction"
Initializing Convolutional Filters with Semantic Features for Text Classification
Code for "GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification"
Sequence-Level Mixed Sample Data Augmentation
official implementation for the paper "Simplifying Graph Convolutional Networks"
Usage of Siamese Recurrent Neural network architectures for semantic textual similarity
This is the official code for our paper "Simple and Scalable Nearest Neighbor Machine Translation" (ICLR 2023).
Source code of the paper "Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction, IJCAI 2020."
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