SAINLP

Bert_sim

This repository restore the sorce code and datasets for "Using Prior Knowledge to Guide BERT’s Attention in Semantic Textual Matching Tasks"

CasRel

This repository contains the source code and dataset for the paper: A Novel Cascade Binary Tagging Framework for Relational Triple Extraction.

CBPM

Code for paper "Few-shot relation classification using clustering-based prototype modification"

DisBert

The code for "Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables".

EIABERT

FastClass

Code of paper "FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification"

SARL_ABSA

This repo contains the source code of the paper accepted by Findings of EMNLP'2021. "Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction"

StAR_KGC

This repo contains the source code of the paper accepted by WWW'2021. "Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion"(WWW 2021).

ToHRE

SAINLP/CBPM

Code for paper "Few-shot relation classification using clustering-based prototype modification"

SAINLP/Bert_sim

This repository restore the sorce code and datasets for "Using Prior Knowledge to Guide BERT’s Attention in Semantic Textual Matching Tasks"

SAINLP/SARL_ABSA

This repo contains the source code of the paper accepted by Findings of EMNLP'2021. "Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction"

SAINLP/StAR_KGC

This repo contains the source code of the paper accepted by WWW'2021. "Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion"(WWW 2021).

SAINLP/CasRel

This repository contains the source code and dataset for the paper: A Novel Cascade Binary Tagging Framework for Relational Triple Extraction.

SAINLP/DisBert

The code for "Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables".

SAINLP/EIABERT

SAINLP/FastClass

Code of paper "FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification"

SAINLP/ToHRE