Papers Extract Aspect
“Extract Aspect” 태그가 달린 논문 23편 · 필터 해제
From Annotation to Adaptation: Metrics, Synthetic Data, and Aspect Extraction for Aspect-Based Sentiment Analysis with Large Language Models
This study examines the performance of Large Language Models (LLMs) in Aspect-Based Sentiment Analysis (ABSA), with a focus on implicit aspect extraction in a novel domain. Using a synthetic sports feedback dataset, we e…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect ExtractionExtract Aspect+1Boundary-Driven Table-Filling with Cross-Granularity Contrastive Learning for Aspect Sentiment Triplet Extraction
The Aspect Sentiment Triplet Extraction (ASTE) task aims to extract aspect terms, opinion terms, and their corresponding sentiment polarity from a given sentence. It remains one of the most prominent subtasks in fine-gra…
Aspect Sentiment Triplet ExtractionContrastive LearningExtract AspectSentence+2Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions
Multimodal Aspect-Based Sentiment Analysis (MABSA) aims to extract aspect terms and their corresponding sentiment polarities from multimodal information, including text and images. While traditional supervised learning m…
Aspect-Based Sentiment AnalysisExtract AspectMultimodal Sentiment AnalysisSentiment AnalysisRNG: Reducing Multi-level Noise and Multi-grained Semantic Gap for Joint Multimodal Aspect-Sentiment Analysis
As an important multimodal sentiment analysis task, Joint Multimodal Aspect-Sentiment Analysis (JMASA), aiming to jointly extract aspect terms and their associated sentiment polarities from the given text-image pairs, ha…
Contrastive LearningExtract AspectMultimodal Sentiment AnalysisSentiment AnalysisAspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities
Multi-modal knowledge graphs (MMKGs) combine different modal data (e.g., text and image) for a comprehensive understanding of entities. Despite the recent progress of large-scale MMKGs, existing MMKGs neglect the multi-a…
Extract AspectImage RetrievalKnowledge GraphsMulti-modal Knowledge GraphChinese Financial Text Emotion Mining: GCGTS -- A Character Relationship-based Approach for Simultaneous Aspect-Opinion Pair Extraction
Aspect-Opinion Pair Extraction (AOPE) from Chinese financial texts is a specialized task in fine-grained text sentiment analysis. The main objective is to extract aspect terms and opinion terms simultaneously from a dive…
Extract AspectSentiment AnalysisMvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction
Generative methods greatly promote aspect-based sentiment analysis via generating a sequence of sentiment elements in a specified format. However, existing studies usually predict sentiment elements in a fixed order, whi…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect Category DetectionAspect-Category-Opinion-Sentiment Quadruple Extraction+12A Better Choice: Entire-space Datasets for Aspect Sentiment Triplet Extraction
Aspect sentiment triplet extraction (ASTE) aims to extract aspect term, sentiment and opinion term triplets from sentences. Since the initial datasets used to evaluate models on ASTE had flaws, several studies later corr…
Aspect Sentiment Triplet ExtractionExtract AspectTripletProgressive Self-Training with Discriminator for Aspect Term Extraction
Aspect 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 lack of sufficient annotated dat…
Extract AspectSentenceTerm ExtractionAspect-Sentiment-Multiple-Opinion Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) aims to extract aspect term (aspect), sentiment and opinion term (opinion) triplets from sentences and can tell a complete story, i.e., the discussed aspect, the sentiment towar…
Aspect Sentiment Triplet ExtractionExtract AspectSentenceSentiment Analysis+2Extractive Opinion Summarization in Quantized Transformer Spaces
We present the Quantized Transformer (QT), an unsupervised system for extractive opinion summarization. QT is inspired by Vector-Quantized Variational Autoencoders, which we repurpose for popularity-driven summarization.…
ClusteringExtract AspectOpinion SummarizationEnhancing Aspect Term Extraction with Soft Prototypes
Aspect term extraction (ATE) aims to extract aspect terms from a review sentence that users have expressed opinions on. Existing studies mostly focus on designing neural sequence taggers to extract linguistic features fr…
Extract AspectRetrievalSentenceTerm ExtractionAspect Based Sentiment Analysis with Aspect-Specific Opinion Spans
Aspect based sentiment analysis, predicting sentiment polarity of given aspects, has drawn extensive attention. Previous attention-based models emphasize using aspect semantics to help extract opinion features for classi…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Extract AspectSentiment AnalysisA Multi-task Learning Framework for Opinion Triplet Extraction
The state-of-the-art Aspect-based Sentiment Analysis (ABSA) approaches are mainly based on either detecting aspect terms and their corresponding sentiment polarities, or co-extracting aspect and opinion terms. However, t…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect Sentiment Triplet ExtractionExtract Aspect+3An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment Analysis
In recent years, several online platforms have seen a rapid increase in the number of review systems that request users to provide aspect-level feedback. Document-level Multi-aspect Sentiment Classification (DMSC), where…
Extract AspectMulti-Task LearningSentiment AnalysisSentiment Classification+1Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation
Aspect term extraction aims to extract aspect terms from review texts as opinion targets for sentiment analysis. One of the big challenges with this task is the lack of sufficient annotated data. While data augmentation …
Data AugmentationExtract AspectSentenceSentiment Analysis+1Aspect and Opinion Term Extraction for Hotel Reviews using Transfer Learning and Auxiliary Labels
Aspect and opinion term extraction is a critical step in Aspect-Based Sentiment Analysis (ABSA). Our study focuses on evaluating transfer learning using pre-trained BERT (Devlin et al., 2018) to classify tokens from hote…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Extract AspectSentiment Analysis+2Aspect and Opinion Terms Extraction Using Double Embeddings and Attention Mechanism for Indonesian Hotel Reviews
Aspect and opinion terms extraction from review texts is one of the key tasks in aspect-based sentiment analysis. In order to extract aspect and opinion terms for Indonesian hotel reviews, we adapt double embeddings feat…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Extract AspectSentiment AnalysisIARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis
Sentiment analysis has immense implications in e-commerce through user feedback mining. Aspect-based sentiment analysis takes this one step further by enabling businesses to extract aspect specific sentimental informatio…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Extract AspectGeneral Classification+3Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction
Fine-grained opinion analysis aims to extract aspect and opinion terms from each sentence for opinion summarization. Supervised learning methods have proven to be effective for this task. However, in many domains, the la…
Domain AdaptationExtract AspectFine-Grained Opinion AnalysisOpinion Summarization+3