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Found 5 papers, 0 papers with code
Learnable Dependency-based Double Graph Structure for Aspect-based Sentiment Analysis
Dependency tree-based methods might be susceptible to the dependency tree due to that they inevitably introduce noisy information and neglect the rich relation information between words.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+4
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering
To address this issue, we propose CEIL, a novel Classification-Enhanced Iterative Learning framework for short text clustering, which aims at generally promoting the clustering performance by introducing a classification objective to iteratively improve feature representations.
HFT-ONLSTM: Hierarchical and Fine-Tuning Multi-label Text Classification
Many important classification problems in the real-world consist of a large number of closely related categories in a hierarchical structure or taxonomy.
Multi Label Text Classification
Multi-Label Text Classification
+1
Joint Embedding of Words and Category Labels for Hierarchical Multi-label Text Classification
Making full use of the relationship between parent category and child category in text classification task can greatly improve the performance of classification.
An Efficient Approach to Learning Chinese Judgment Document Similarity Based on Knowledge Summarization
By utilizing domain ontologies for judgment documents, the core semantics of Chinese judgment documents is summarized based on knowledge blocks.
