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Relation Classification

29 papers with code · Natural Language Processing

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ERNIE: Enhanced Language Representation with Informative Entities

17 May 2019thunlp/ERNIE

Neural language representation models such as BERT pre-trained on large-scale corpora can well capture rich semantic patterns from plain text, and be fine-tuned to consistently improve the performance of various NLP tasks.

ENTITY TYPING KNOWLEDGE GRAPHS NATURAL LANGUAGE INFERENCE RELATION CLASSIFICATION SENTIMENT ANALYSIS

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

Improving Relation Extraction by Pre-trained Language Representations

Automated Knowledge Base Construction Conference 2019 DFKI-NLP/TRE

Unlike previous relation extraction models, TRE uses pre-trained deep language representations instead of explicit linguistic features to inform the relation classification and combines it with the self-attentive Transformer architecture to effectively model long-range dependencies between entity mentions.

RELATION CLASSIFICATION RELATION EXTRACTION

Improving Relation Extraction by Pre-trained Language Representations

Automated Knowledge Base Construction Conference 2019 DFKI-NLP/TRE

Unlike previous relation extraction models, TRE uses pre-trained deep language representations instead of explicit linguistic features to inform the relation classification and combines it with the self-attentive Transformer architecture to effectively model long-range dependencies between entity mentions.

RELATION CLASSIFICATION RELATION EXTRACTION

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

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