Search Results for author:
Found 4 papers, 0 papers with code
Few-Shot Multi-Label Aspect Category Detection Utilizing Prototypical Network with Sentence-Level Weighting and Label Augmentation
Since aspect category detection often suffers from limited datasets and data sparsity, the prototypical network with attention mechanisms has been applied for few-shot aspect category detection.
SLHCat: Mapping Wikipedia Categories and Lists to DBpedia by Leveraging Semantic, Lexical, and Hierarchical Features
Assigning DBPedia classes to Wikipedia categories and lists can alleviate the problem, realizing a large knowledge graph which is essential for categorizing digital contents through entity linking and typing.
Enhancing Keyphrase Generation by BART Finetuning with Splitting and Shuffling
Keyphrase generation is a task of identifying a set of phrases that best repre-sent the main topics or themes of a given text.
A multi-task learning network using shared BERT models for aspect-based sentiment analysis
Our experimental results show that: In the ACSA task, our model outperformed all the baseline models, achieving the current state-of-the-art performance on the multiple datasets.
Aspect-Based Sentiment Analysis
Aspect Category Sentiment Analysis
+1
