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VHT's Projects

reds2 icon reds2

Code and dataset for "Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction" (EMNLP'19)

relationhierarchy icon relationhierarchy

This project contains resource for "Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases"

rep-re icon rep-re

Code and data for Improving Relation Extraction with Relational Paraphrase Sentences

reside icon reside

EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

rld icon rld

2021 Multi-Teacher Distillation with Single Model for Neural Machine Translation

rmlnmt_coling2022 icon rmlnmt_coling2022

Improving Both Domain Robustness and Domain Adaptability in Machine Translation (COLING 2022)

ror_relation_extraction icon ror_relation_extraction

Code for the paper "Relation of the Relations: A New Formalization of the Relation Extraction Problem"

rsan icon rsan

Source code for IJCAI 2020 paper "A Relation-Specific Attention Network for Joint Entity and Relation Extraction"

segment icon segment

Example code and data for paper Beyond Word Attention: Using Segment Attention in Neural Relation Extraction (IJCAI 2019).

selfmemory icon selfmemory

Source code for Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory

selfore icon selfore

The source code of paper "SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction"

semantic-cnn icon semantic-cnn

Initializing Convolutional Filters with Semantic Features for Text Classification

semeval2018-task7 icon semeval2018-task7

Code for "GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification"

seqmix icon seqmix

Sequence-Level Mixed Sample Data Augmentation

sgc icon sgc

official implementation for the paper "Simplifying Graph Convolutional Networks"

sk-mt icon sk-mt

This is the official code for our paper "Simple and Scalable Nearest Neighbor Machine Translation" (ICLR 2023).

smhsa icon smhsa

Source code of the paper "Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction, IJCAI 2020."

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