Relation Classification

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

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Greatest papers with code

Reinforcement Learning for Relation Classification from Noisy Data

24 Aug 2018JuneFeng/RelationClassification-RL

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

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

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

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

A Latent Variable Recurrent Neural Network for Discourse Relation Language Models

7 Mar 2016jiyfeng/drlm

This paper presents a novel latent variable recurrent neural network architecture for jointly modeling sequences of words and (possibly latent) discourse relations between adjacent sentences.

DIALOG ACT CLASSIFICATION IMPLICIT DISCOURSE RELATION CLASSIFICATION LANGUAGE MODELLING

End-to-end neural relation extraction using deep biaffine attention

29 Dec 2018datquocnguyen/jointRE

We propose a neural network model for joint extraction of named entities and relations between them, without any hand-crafted features.

 SOTA for Relation Extraction on CoNLL04 (Relation F1 metric )

RELATION CLASSIFICATION

CATENA: CAusal and TEmporal relation extraction from NAtural language texts

COLING 2016 paramitamirza/CATENA

The effects of the interaction between the temporal and the causal components, although limited, yield promising results and confirm the tight connection between the temporal and the causal dimension of texts.

QUESTION ANSWERING RELATION CLASSIFICATION TEMPORAL INFORMATION EXTRACTION