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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Bibliographic Details
Main Author: Baptiso Sorlawan, Agung
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