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This paper proposes a weakly-supervised approach for extracting instances of se- mantic classes. This method constructs simple wrappers automatically based ...
This paper proposes a weakly-supervised approach for extracting instances of se- mantic classes. This method constructs simple wrappers automatically based ...
Text Patterns and Compression Models for Semantic Class Learning. Author. Chuang, Chung-Yao and Lee, Yi-Hsun and Hsu, Wen-Lian. Conference. Proceedings of 5th ...
Our initial results indicate that GPT-4 can effectively compress and reconstruct text while preserving the semantic essence of the original text, providing a ...
Sep 19, 2023 · We study semantic compression for text where meanings contained in the text are conveyed to a source decoder, eg, for classification.
Missing: Patterns Models
Semantic lexicon. [semantic lexicons] A semantic lexicon is a dictionary of words labeled with semantic classes so associations can be drawn between words that ...
Most of the debate about compression-based text classifiers revolves their performance in terms of effectiveness and efficiency. ... ... Most of the debate ...
Jul 27, 2023 · In this paper, we propose a non-parametric alternative to DNNs that's easy, light-weight and universal in text classification.
Missing: Patterns | Show results with:Patterns
Dec 22, 2022 · In this paper, we present a purely semantic approach, which losslessly compresses relational data in the first place and also enhances data file compression.
May 17, 2024 · In this paper, we propose a triplet-based explainable semantic communication (TESC) scheme for representing text semantics efficiently.