Relation Classification

37 papers with code · Natural Language Processing
Subtask of Relation Extraction

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

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Greatest papers with code

FewRel 2.0: Towards More Challenging Few-Shot Relation Classification

IJCNLP 2019 thunlp/fewrel

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?

DOMAIN ADAPTATION FEW-SHOT RELATION CLASSIFICATION

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

17 Sep 2019markus-eberts/spert

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

JOINT ENTITY AND RELATION EXTRACTION NAMED ENTITY RECOGNITION RELATION CLASSIFICATION

Reinforcement Learning for Relation Classification from Noisy Data

24 Aug 2018unreliableXu/TensorFlow_RLRE

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

RELATION CLASSIFICATION

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

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

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.

ENTITY TYPING RELATION CLASSIFICATION

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

20 May 2019wang-h/bert-relation-classification

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.

LANGUAGE MODELLING RELATION CLASSIFICATION

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

ACL 2019 DFKI-NLP/DISTRE

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

COMMON SENSE REASONING LANGUAGE MODELLING RELATION CLASSIFICATION

FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation

EMNLP 2018 ProKil/FewRel

The relation of each sentence is first recognized by distant supervision methods, and then filtered by crowdworkers.

FEW-SHOT RELATION CLASSIFICATION

CogALex-V Shared Task: LexNET - Integrated Path-based and Distributional Method for the Identification of Semantic Relations

WS 2016 vered1986/LexNET

The reported results in the shared task bring this submission to the third place on subtask 1 (word relatedness), and the first place on subtask 2 (semantic relation classification), demonstrating the utility of integrating the complementary path-based and distributional information sources in recognizing concrete semantic relations.

RELATION CLASSIFICATION