TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Papers/Recurrent Entity Networks with Delayed Memory Update for T...

Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis

Fei Liu, Trevor Cohn, Timothy Baldwin

2018-04-30NAACL 2018 6Reading ComprehensionSentiment AnalysisAspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)
PaperPDFCode(official)

Abstract

While neural networks have been shown to achieve impressive results for sentence-level sentiment analysis, targeted aspect-based sentiment analysis (TABSA) --- extraction of fine-grained opinion polarity w.r.t. a pre-defined set of aspects --- remains a difficult task. Motivated by recent advances in memory-augmented models for machine reading, we propose a novel architecture, utilising external "memory chains" with a delayed memory update mechanism to track entities. On a TABSA task, the proposed model demonstrates substantial improvements over state-of-the-art approaches, including those using external knowledge bases.

Results

TaskDatasetMetricValueModel
Sentiment AnalysisSentihoodAspect78.5Liu et al.
Sentiment AnalysisSentihoodSentiment91Liu et al.
Aspect-Based Sentiment Analysis (ABSA)SentihoodAspect78.5Liu et al.
Aspect-Based Sentiment Analysis (ABSA)SentihoodSentiment91Liu et al.

Related Papers

AdaptiSent: Context-Aware Adaptive Attention for Multimodal Aspect-Based Sentiment Analysis2025-07-17AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles2025-07-15DCR: Quantifying Data Contamination in LLMs Evaluation2025-07-15SentiDrop: A Multi Modal Machine Learning model for Predicting Dropout in Distance Learning2025-07-14GNN-CNN: An Efficient Hybrid Model of Convolutional and Graph Neural Networks for Text Representation2025-07-10DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback Synergy2025-07-02FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs2025-06-25Unpacking Generative AI in Education: Computational Modeling of Teacher and Student Perspectives in Social Media Discourse2025-06-19