Dive deeper: Deep Semantics for Sentiment Analysis
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Machine TranslationNamed Entity Recognition (NER)Sentiment AnalysisSpeech RecognitionWord Sense DisambiguationSimilar Papers 제목 키워드 기반
A semantically enhanced dual encoder for aspect sentiment triplet extraction
Aspect sentiment triplet extraction (ASTE) is a crucial subtask of aspect-based sentiment analysis (ABSA) that aims to comprehensively identify sentiment triplets. Previous research has focused on enhancing ASTE through …
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect Sentiment Triplet ExtractionSentiment Analysis+1Multi-task Pairwise Neural Ranking for Hashtag Segmentation
Hashtags are often employed on social media and beyond to add metadata to a textual utterance with the goal of increasing discoverability, aiding search, or providing additional semantics. However, the semantic content o…
SegmentationSentiment AnalysisAn Hymn of an even Deeper Sentiment Analysis
Structured Self-AttentionWeights Encode Semantics in Sentiment Analysis
Neural attention, especially the self-attention made popular by the Transformer, has become the workhorse of state-of-the-art natural language processing (NLP) models. Very recent work suggests that the self-attention in…
Sentiment AnalysisTime SeriesTime Series AnalysisStructured Self-Attention Weights Encode Semantics in Sentiment Analysis
Neural attention, especially the self-attention made popular by the Transformer, has become the workhorse of state-of-the-art natural language processing (NLP) models. Very recent work suggests that the self-attention in…
Sentiment AnalysisTime SeriesTime Series Analysis