SEMANTIC TEXTUAL SIMILARITY (STS) FOR INDONESIAN SENTENCE USING SIAMESE NEURAL NETWORK
Semantic Textual Similarity (STS) is a task in natural language processing that deals with determining how similar two sentences are. STS is a very important component in solving other natural language processing tasks such as semantic search, summarization, question answering, plagiarism detecti...
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Main Author: | Baptiso Sorlawan, Agung |
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/54226 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
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