JAjasperkit·Nov 27, 2018Submission
Tracking Progress in Natural Language Processing (NLP)
1 points · Open discussionsebastianruder
NLP-progress
Python2018–2023
sebastianruder / NLP-progress
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
8Distinct people
11Mentions
0Explicit recommenders
23KGitHub stars
What to know before exploring
What it is
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
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Also in these discussions
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This week on Hacker News
Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 10:01:16 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by year11 dated mentions
Observed mentions: 2018-06-23 23:38:55 UTC to 2023-02-05 15:15:05 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2018 | 2018-01-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 5 | 3 | 2 |
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 3 | 0 | 3 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 2 | 0 | 2 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
5 sourcesAs others have mentioned, I have no idea what any of this has to do with blockchain, or how it could even conceivably help with anything other than riding a hype train. That being said, would be curious to see how it holds up against the standard state of the art (e.g. https://github.com/sebastianruder/NLP-progress/blob/master/e...) as summarization (especially the abstractive kind) is very hard, but also has a surprising amount of useful applications
In Show HN: Extract main ideas in your texts with SummarizeBotPretrained models have enabled so much in CV, excited to see similar shifts in the language world.
A great supplement is Sebastian’s NLP progress repo: https://github.com/sebastianruder/NLP-progress
In NLP's ImageNet Moment: From Shallow to Deep Pre-TrainingTracking Progress in Natural Language Processing
2 points · Open discussionTracking progress in NLP tasks and datasets
2 points · Open discussion