Summary of Analyzing Polysemy Evolution Using Semantic Cells, by Yukio Ohsawa et al.
Analyzing Polysemy Evolution Using Semantic Cells
by Yukio Ohsawa, Dingming Xue, Kaira Sekiguchi
First submitted to arxiv on: 23 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper presents a case study on the evolution of word senses, demonstrating that polysemy (multiple meanings) emerges as an adaptive response to semantic changes. Building upon previous research on Semantic Cells, the authors introduce diversity into their initial state and analyze a sequence of 1000 sentences for four senses of the word “Spring” collected using ChatGPT. The results show that the word acquires polysemy monotonically when senses are arranged in evolutionary order. This work presents a method for analyzing the dynamism of word polysemy with evolution, shifting the focus from learning-based to evolutionary frameworks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about how words can have multiple meanings and how these meanings change over time. The authors studied how the meaning of one word, “Spring”, changed by looking at a large collection of sentences that used this word in different ways. They found that as they looked at more sentences, the word started to have more meanings. This shows that language is always changing and evolving, just like living things do. |
