Timeline for How to select target words for Lexical Simplification dataset
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Dec 16, 2022 at 12:46 | comment | added | Nicolas Martin | OK Mar, I've updated the answer accordingly. | |
| Dec 16, 2022 at 12:46 | history | edited | Nicolas Martin | CC BY-SA 4.0 |
added 346 characters in body
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| Dec 16, 2022 at 10:44 | comment | added | Mar | No I mean the data sources. | |
| Dec 15, 2022 at 21:35 | comment | added | Nicolas Martin | Do you mean the data sources? Then, there are algorithms that classify every word automatically: Do you mean those algorithms? | |
| Dec 15, 2022 at 10:06 | comment | added | Mar | Hi Nicolas, thank you very much for taking the time to answer my question. Yes, I have read that these are features typically used for the CWI task. However, my question relates to the compilation of a dataset, which I guess should be made up of both complex words and non complex words. Apologies, perhaps I should have phrased it better in the initially question. As in the datasets I have linked, the new dataset should include words not deemed as complex, so that the system being implemented may distinguish between complex and non complex words and thus not generate substitutes for them. | |
| Dec 15, 2022 at 8:10 | history | answered | Nicolas Martin | CC BY-SA 4.0 |