Papers Aspect Term Extraction and Sentiment Classification
“Aspect Term Extraction and Sentiment Classification” 태그가 달린 논문 14편 · 필터 해제
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches
Aspect-based Sentiment Analysis (ABSA) is a task whose objective is to classify the individual sentiment polarity of all entities, called aspects, in a sentence. The task is composed of two subtasks: Aspect Term Extracti…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect Category PolarityAspect Extraction+6CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction
Existing works on Aspect Sentiment Triplet Extraction (ASTE) explicitly focus on developing more efficient fine-tuning techniques for the task. Instead, our motivation is to come up with a generic approach that can impro…
Aspect Sentiment Triplet ExtractionAspect Term Extraction and Sentiment ClassificationContrastive LearningDecoder+2A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis
The pre-training and fine-tuning paradigm has become the mainstream framework in the field of Aspect-Based Sentiment Analysis (ABSA). Although it has achieved sound performance in the domains containing enough fine-grain…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect Term Extraction and Sentiment ClassificationSentiment Analysis+2UnifiedABSA: A Unified ABSA Framework Based on Multi-task Instruction Tuning
Aspect-Based Sentiment Analysis (ABSA) aims to provide fine-grained aspect-level sentiment information. There are many ABSA tasks, and the current dominant paradigm is to train task-specific models for each task. However…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect-Category-Opinion-Sentiment Quadruple ExtractionAspect Extraction+5A Unified Generative Framework for Aspect-Based Sentiment Analysis
Aspect-based Sentiment Analysis (ABSA) aims to identify the aspect terms, their corresponding sentiment polarities, and the opinion terms. There exist seven subtasks in ABSA. Most studies only focus on the subsets of the…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect-oriented Opinion ExtractionAspect Sentiment Triplet Extraction+2A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis
Aspect based sentiment analysis (ABSA) involves three fundamental subtasks: aspect term extraction, opinion term extraction, and aspect-level sentiment classification. Early works only focused on solving one of these sub…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect-oriented Opinion ExtractionAspect Sentiment Triplet Extraction+7Constituency Lattice Encoding for Aspect Term Extraction
One of the remaining challenges for aspect term extraction in sentiment analysis resides in the extraction of phrase-level aspect terms, which is non-trivial to determine the boundaries of such terms. In this paper, we a…
Aspect Term Extraction and Sentiment ClassificationSentenceSentiment AnalysisTerm ExtractionRelation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) involves three subtasks, i.e., aspect term extraction, opinion term extraction, and aspect-level sentiment classification. Most existing studies focused on one of these subtasks onl…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect Term Extraction and Sentiment ClassificationMulti-Task Learning+4PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction
Dependency 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…
Aspect Term Extraction and Sentiment ClassificationPOSPositionTerm ExtractionUnsupervised Neural Aspect Extraction with Sememes
Aspect extraction relies on identifying aspects by discovering coherence among words, which is challenging when word meanings are diversified and processing on short texts. To enhance the performance on aspect extraction…
Aspect ExtractionAspect Term Extraction and Sentiment ClassificationSentenceAn Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis produces a list of aspect terms and their corresponding sentiments for a natural language sentence. This task is usually done in a pipeline manner, with aspect term extraction performed fi…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect Term Extraction and Sentiment ClassificationMulti-Task Learning+3Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification
Open-domain targeted sentiment analysis aims to detect opinion targets along with their sentiment polarities from a sentence. Prior work typically formulates this task as a sequence tagging problem. However, such formula…
Aspect-Based Sentiment Analysis (ABSA)Aspect Term Extraction and Sentiment ClassificationGeneral ClassificationSentence+1LICD: A Language-Independent Approach for Aspect Category Detection
Aspect-based sentiment analysis (ABSA) deals with processing and summarizing customer reviews and has been a topic of interest in recent years. Given a set of predefined categories, Aspect Category Detection (ACD), as a …
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect Category DetectionAspect Term Extraction and Sentiment Classification+5Global Inference for Aspect and Opinion Terms Co-Extraction Based on Multi-Task Neural Networks
Extracting aspect terms and opinion terms are two fundamental tasks in opinion mining. The recent success of deep learning has inspired various neural network architectures, which have been shown to achieve highly compet…
Aspect Term Extraction and Sentiment ClassificationMulti-Task LearningOpinion MiningTerm Extraction