Aspect Extraction
32 papers with code • 6 benchmarks • 4 datasets
Aspect extraction is the task of identifying and extracting terms relevant for opinion mining and sentiment analysis, for example terms for product attributes or features.
Benchmarks
These leaderboards are used to track progress in Aspect Extraction
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SemEval-2014 Task-4
Latest papers with no code
Polarity in the Classroom: A Case Study Leveraging Peer Sentiment Toward Scalable Assessment
Accurately grading open-ended assignments in large or massive open online courses (MOOCs) is non-trivial.
Aspect Extraction Using Coreference Resolution and Unsupervised Filtering
Aspect extraction is a widely researched field of natural language processing in which aspects are identified from the text as a means for information.
Label Correction Model for Aspect-based Sentiment Analysis
Specifically, given an input sentence, our model first predicts the aspect boundary label sequence and sentiment label sequence, then re-predicts the aspect boundary (sentiment) label sequence using the embeddings of the previously predicted sentiment (aspect boundary) label.
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce
Pre-trained language models such as BERT have achieved great success in a broad range of natural language processing tasks.
Don't Eclipse Your Arts Due to Small Discrepancies: Boundary Repositioning with a Pointer Network for Aspect Extraction
The current aspect extraction methods suffer from boundary errors.
Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification
Deep learning architectures based on self-attention have recently achieved and surpassed state of the art results in the task of unsupervised aspect extraction and topic modeling.
Weakly-supervised Domain Adaption for Aspect Extraction via Multi-level Interaction Transfer
Specifically, the aspect category information is used to construct pivot knowledge for transfer with assumption that the interactions between sentence-level aspect category and token-level aspect terms are invariant across domains.
Unsupervised Neural Aspect Search with Related Terms Extraction
The tasks of aspect identification and term extraction remain challenging in natural language processing.
Improving Aspect-Level Sentiment Analysis with Aspect Extraction
Aspect-based sentiment analysis (ABSA), a popular research area in NLP has two distinct parts -- aspect extraction (AE) and labeling the aspects with sentiment polarity (ALSA).
Aspect On: an Interactive Solution for Post-Editing the Aspect Extraction based on Online Learning
Experimental results show that Aspect On dramatically reduces the number of user clicks and effort required to post-edit the aspects extracted by the model.
