Search Results for author:
Found 9 papers, 7 papers with code
A 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.
Modeling User Repeat Consumption Behavior for Online Novel Recommendation
In this paper, we concentrate on recommending online novels to new users of an online novel reading platform, whose first visits to the platform occurred in the last seven days.
Training Entire-Space Models for Target-oriented Opinion Words Extraction
Moreover, the performance of these models on the first type of instance cannot reflect their performance on entire space.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+4
Aspect-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 toward the aspect, and the cause of the sentiment.
A More Fine-Grained Aspect-Sentiment-Opinion Triplet Extraction Task
Aspect Sentiment Triplet Extraction (ASTE) aims to extract aspect term, sentiment and opinion term triplets from sentences and tries to provide a complete solution for aspect-based sentiment analysis (ABSA).
Ranked #1 on
Aspect-Sentiment-Opinion Triplet Extraction
on Res14
Aspect-Based Sentiment Analysis
Aspect-Sentiment-Opinion Triplet Extraction
+2
Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis
Given a sentence and the aspect categories mentioned in the sentence, AC-MIMLLN first predicts the sentiments of the instances, then finds the key instances for the aspect categories, finally obtains the sentiments of the sentence toward the aspect categories by aggregating the key instance sentiments.
Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks
Aspect category sentiment analysis (ACSA) aims to predict the sentiment polarities of the aspect categories discussed in sentences.
Aspect Category Detection
Aspect Category Sentiment Analysis
+3
A Joint Model for Aspect-Category Sentiment Analysis with Shared Sentiment Prediction Layer
Aspect-category sentiment analysis (ACSA) aims to predict the aspect categories mentioned in texts and their corresponding sentiment polarities.
An Integrated Development Environment for Planning Domain Modeling
In order to make the task, description of planning domains and problems, more comprehensive for non-experts in planning, the visual representation has been used in planning domain modeling in recent years.
