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Found 5 papers, 5 papers with code
Improving Span-based Aspect Sentiment Triplet Extraction with Abundant Syntax Knowledge
Aspect sentiment triplet extraction is a subtask of aspect based sentiment analysis, which has attracted considerable attention in recent years.
Aspect-Based Sentiment Analysis
Aspect Sentiment Triplet Extraction
RFM: response-aware feedback mechanism for background based conversation
In general, the existing dialogue systems tend to generate generic responses due to lack of external knowledge.
Combining dynamic local context focus and dependency cluster attention for aspect-level sentiment classification
The DLCF can dynamically capture the range of local context based on the different max distance from the target aspect term to its context words and the DCA allows the model to pay more attention to the cluster which is more critical for sentiment classification.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+2
Enhancing Fine-grained Sentiment Classification Exploiting Local Context Embedding
Target-oriented sentiment classification is a fine-grained task of natural language processing to analyze the sentiment polarity of the targets.
A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction
Aspect-based sentiment analysis (ABSA) task is a multi-grained task of natural language processing and consists of two subtasks: aspect term extraction (ATE) and aspect polarity classification (APC).
Ranked #3 on
Aspect-Based Sentiment Analysis (ABSA)
on SemEval-2014 Task-4
(using extra training data)
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+3
