Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis

01/13/2022
by   Qihuang Zhong, et al.
0

Aspect-based sentiment analysis (ABSA) is a fine-grained task of sentiment analysis. To better comprehend long complicated sentences and obtain accurate aspect-specific information, linguistic and commonsense knowledge are generally required in this task. However, most methods employ complicated and inefficient approaches to incorporate external knowledge, e.g., directly searching the graph nodes. Additionally, the complementarity between external knowledge and linguistic information has not been thoroughly studied. To this end, we propose a knowledge graph augmented network (KGAN), which aims to effectively incorporate external knowledge with explicitly syntactic and contextual information. In particular, KGAN captures the sentiment feature representations from multiple different perspectives, i.e., context-, syntax- and knowledge-based. First, KGAN learns the contextual and syntactic representations in parallel to fully extract the semantic features. Then, KGAN integrates the knowledge graphs into the embedding space, based on which the aspect-specific knowledge representations are further obtained via an attention mechanism. Last, we propose a hierarchical fusion module to complement these multiview representations in a local-to-global manner. Extensive experiments on three popular ABSA benchmarks demonstrate the effectiveness and robustness of our KGAN. Notably, with the help of the pretrained model of RoBERTa, KGAN achieves a new record of state-of-the-art performance.

READ FULL TEXT

page 7

page 12

research
08/26/2021

Scalable End-to-End Training of Knowledge Graph-Enhanced Aspect Embedding for Aspect Level Sentiment Analysis

Aspect level sentiment classification (ALSC) is a difficult problem with...
research
04/04/2020

A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis

The aspect-based sentiment analysis (ABSA) task remains to be a long-sta...
research
12/23/2019

Hunt Protagonist of Sentiment: Sentiment Analysis via Capsule Network with Sentiment-Aspect Reconstruction

Aspect-term level sentiment analysis (ATSA) is a fine-grained task in se...
research
08/05/2021

Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Network

Aspect-level sentiment classification (ASC) aims to predict the fine-gra...
research
04/04/2020

An Iterative Knowledge Transfer Network with Routing for Aspect-based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) mainly involves three subtasks: a...
research
04/19/2023

On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training

Aspect-based sentiment analysis (ABSA) aims at automatically inferring t...
research
05/24/2019

Incorporating Context and External Knowledge for Pronoun Coreference Resolution

Linking pronominal expressions to the correct references requires, in ma...

Please sign up or login with your details

Forgot password? Click here to reset