Sentence Similarity Computation Based on Deep Learning
| Autor: | Wafa Wali, Bilel Gargouri |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Class (computer programming)
Artificial neural network business.industry Computer science Deep learning InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL computer.software_genre Task (project management) Semantic similarity Semantic memory Artificial intelligence business computer Sentence Natural language processing Natural language |
| Zdroj: | Hybrid Intelligent Systems ISBN: 9783030730499 HIS |
| DOI: | 10.1007/978-3-030-73050-5_40 |
| Popis: | Computing the semantic similarity of two sentences is a task central to automated understanding of natural languages. In data mining Technology, sentence similarity computation is a key problem. As we know a sentence can be presented by many kinds of style, if we want to describe what a sentence means we should dip into the semantic level and consider about the dependency structure. In this paper, we propose a novel method for calculate the sentence similarity score between two sentences based on deep learning. The sentence similarity score is computed using semantic knowledge notably the synonymy relationships and syntactico-semantic knowledge especially the semantic class and thematic role. Furthermore, we show that the use of recurrent and recursive neural networks can provide a 16% to 70% improvement over baseline models. |
| Databáze: | OpenAIRE |
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