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Text segmentation is the process of dividing written text into meaningful units, such as words, sentences, or topics. The term applies both to mental processes used by humans when reading text, and to artificial processes implemented in computers, which are the subject of natural language processing. The problem is non-trivial, because while ...
Nov 16, 2021 · Learn about the task of splitting text into meaningful segments, such as topics, sentences, or words. Explore different methods, datasets, and evaluation metrics for text segmentation, with examples and use cases.
Find 35 papers with code and 3 benchmarks for text segmentation, a task of dividing a document into semantically coherent blocks. Explore datasets such as CoNLL, SPMRL Hebrew and Wiki5K Hebrew segmentation.
Jan 1, 2018 · Text segmentation is a method of splitting a document into smaller parts, which is usually called segments. It is widely used in text processing. Each segment has its relevant...
Nov 22, 2017 · This chapter summarizes 50 research papers that applied text segmentation in text processing for different languages and tasks. It shows the popularity, types and reasons of using text segmentation in opinion mining, sentiment analysis, language detection and information retrieval.
- Irina Pak, Phoey Lee Teh
- 2018
Sep 2, 2021 · This paper proposes a novel supervised approach for text segmentation using BERT, a pre-trained neural network for natural language processing. The paper evaluates the performance of the proposed system with public datasets and shows improvements over existing methods.
Text segmentation is the process of identifying the boundaries between words, phrases, or some other linguistic meaningful units in written texts. Learn about the different approaches and problems of text segmentation for English and Chinese languages, such as word segmentation, sentence segmentation, and word sense disambiguation.
