Relation Classification

87 papers with code • 6 benchmarks • 11 datasets

Relation Classification is the task of identifying the semantic relation holding between two nominal entities in text.

Source: Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text

Greatest papers with code

LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

huggingface/transformers EMNLP 2020

In this paper, we propose new pretrained contextualized representations of words and entities based on the bidirectional transformer.

Entity Typing Language Modelling +3

The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis

zjunlp/deepke 15 Sep 2020

Long-tailed relation classification is a challenging problem as the head classes may dominate the training phase, thereby leading to the deterioration of the tail performance.

General Classification Relation Classification

FewRel 2.0: Towards More Challenging Few-Shot Relation Classification

thunlp/fewrel IJCNLP 2019

We present FewRel 2. 0, a more challenging task to investigate two aspects of few-shot relation classification models: (1) Can they adapt to a new domain with only a handful of instances?

Classification Domain Adaptation +2

Span-based Joint Entity and Relation Extraction with Transformer Pre-training

lavis-nlp/spert 17 Sep 2019

The model is trained using strong within-sentence negative samples, which are efficiently extracted in a single BERT pass.

 Ranked #1 on Named Entity Recognition on SciERC (using extra training data)

Joint Entity and Relation Extraction Named Entity Recognition +1

End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures

tticoin/LSTM-ER ACL 2016

We present a novel end-to-end neural model to extract entities and relations between them.

 Ranked #1 on Relation Extraction on ACE 2005 (Sentence Encoder metric)

Relation Classification

Enriching Pre-trained Language Model with Entity Information for Relation Classification

monologg/R-BERT 20 May 2019

In this paper, we propose a model that both leverages the pre-trained BERT language model and incorporates information from the target entities to tackle the relation classification task.

Classification General Classification +2

Reinforcement Learning for Relation Classification from Noisy Data

unreliableXu/TensorFlow_RLRE 24 Aug 2018

In this paper, we propose a novel model for relation classification at the sentence level from noisy data.

Classification Relation Classification

Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing

roomylee/entity-aware-relation-classification 23 Jan 2019

Our model not only utilizes entities and their latent types as features effectively but also is more interpretable by visualizing attention mechanisms applied to our model and results of LET.

Classification Entity Typing +4

Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction


Distantly supervised relation extraction is widely used to extract relational facts from text, but suffers from noisy labels.

Common Sense Reasoning Fine-tuning +2