Наборы данных SemEval
Related Papers
Effective Attention Modeling for Aspect-Level Sentiment Classification
AbstractAspect-level sentiment classification aims to determine the sentiment polarity of a review sentence towards an opinion target. A sentence could contain multiple sentiment-target pairs; thus the main challenge of this …...
Projecting Embeddings for Domain Adaption: Joint Modeling of Sentiment Analysis in Diverse Domains
AbstractDomain adaptation for sentiment analysis is challenging due to the fact that supervised classifiers are very sensitive to changes in domain. The two most prominent approaches to this problem are …...
A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis
AbstractAspect based sentiment analysis (ABSA) aims to identify the sentiment polarity towards the given aspect in a sentence, while previous models typically exploit an aspect-independent (weakly associative) encoder for sentence …...
Transfer Capsule Network for Aspect Level Sentiment Classification
AbstractAspect-level sentiment classification aims to determine the sentiment polarity of a sentence towards an aspect. Due to the high cost in annotation, the lack of aspect-level labeled data becomes a …...
PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction
AbstractDependency context-based word embedding jointly learns the representations of word and dependency context, and has been proved effective in aspect term extraction. In this paper, we design the positional dependency-based …...
Progressive Self-Training with Discriminator for Aspect Term Extraction
AbstractAspect term extraction aims to extract aspect terms from a review sentence that users have expressed opinions on. One of the remaining challenges for aspect term extraction resides in the …...
Structural Bias for Aspect Sentiment Triplet Extraction
AbstractStructural bias has recently been exploited for aspect sentiment triplet extraction (ASTE) and led to improved performance. On the other hand, it is recognized that explicitly incorporating structural bias would …...