Christopher Schröder

cschroeder

https://github.com/webis-de/small-text

AI & ML interests

NLP, Active Learning, Text Representations, PyTorch

Recent Activity

posted an update 8 days ago

💡𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝘀𝘂𝗽𝗽𝗼𝗿𝘁: 𝗛𝗮𝘃𝗲 𝘆𝗼𝘂 𝗲𝘃𝗲𝗿 𝗵𝗮𝗱 𝘁𝗼 𝗼𝘃𝗲𝗿𝗰𝗼𝗺𝗲 𝗮 𝗹𝗮𝗰𝗸 𝗼𝗳 𝗹𝗮𝗯𝗲𝗹𝗲𝗱 𝗱𝗮𝘁𝗮 𝘁𝗼 𝗱𝗲𝗮𝗹 𝘄𝗶𝘁𝗵 𝗮𝗻 𝗡𝗟𝗣 𝘁𝗮𝘀𝗸? Are you working on Natural Language Processing tasks and have faced the challenge of a lack of labeled data before? 𝗪𝗲 𝗮𝗿𝗲 𝗰𝘂𝗿𝗿𝗲𝗻𝘁𝗹𝘆 𝗰𝗼𝗻𝗱𝘂𝗰𝘁𝗶𝗻𝗴 𝗮 𝘀𝘂𝗿𝘃𝗲𝘆 to explore the strategies used to address this bottleneck, especially in the context of recent advancements, including but not limited to large language models. The survey is non-commercial and conducted solely for academic research purposes. The results will contribute to an open-access publication that also benefits the community. 👉 With only 5–15 minutes of your time, you would greatly help to investigate which strategies are used by the #NLP community to overcome a lack of labeled data. ❤️How you can help even more: If you know others working on supervised learning and NLP, please share this survey with them—we’d really appreciate it! Survey: https://bildungsportal.sachsen.de/umfragen/limesurvey/index.php/538271 Estimated time required: 5–15 minutes Deadline for participation: January 12, 2025 #NLP #ML

liked a Space 14 days ago

data-is-better-together/fineweb-c

liked a model 24 days ago

PleIAs/celadon

View all activity

Organizations

Posts 8

Post

330

💡𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝘀𝘂𝗽𝗽𝗼𝗿𝘁: 𝗛𝗮𝘃𝗲 𝘆𝗼𝘂 𝗲𝘃𝗲𝗿 𝗵𝗮𝗱 𝘁𝗼 𝗼𝘃𝗲𝗿𝗰𝗼𝗺𝗲 𝗮 𝗹𝗮𝗰𝗸 𝗼𝗳 𝗹𝗮𝗯𝗲𝗹𝗲𝗱 𝗱𝗮𝘁𝗮 𝘁𝗼 𝗱𝗲𝗮𝗹 𝘄𝗶𝘁𝗵 𝗮𝗻 𝗡𝗟𝗣 𝘁𝗮𝘀𝗸?

Are you working on Natural Language Processing tasks and have faced the challenge of a lack of labeled data before? 𝗪𝗲 𝗮𝗿𝗲 𝗰𝘂𝗿𝗿𝗲𝗻𝘁𝗹𝘆 𝗰𝗼𝗻𝗱𝘂𝗰𝘁𝗶𝗻𝗴 𝗮 𝘀𝘂𝗿𝘃𝗲𝘆 to explore the strategies used to address this bottleneck, especially in the context of recent advancements, including but not limited to large language models.

The survey is non-commercial and conducted solely for academic research purposes. The results will contribute to an open-access publication that also benefits the community.

👉 With only 5–15 minutes of your time, you would greatly help to investigate which strategies are used by the #NLP community to overcome a lack of labeled data.

❤️How you can help even more: If you know others working on supervised learning and NLP, please share this survey with them—we’d really appreciate it!

Survey: https://bildungsportal.sachsen.de/umfragen/limesurvey/index.php/538271
Estimated time required: 5–15 minutes
Deadline for participation: January 12, 2025

#NLP #ML

Post

1082

🐣 New release: small-text v2.0.0.dev1

With small language models on the rise, the new version of small-text has been long overdue! Despite the generative AI hype, many real-world tasks still rely on supervised learning—which is reliant on labeled data.

Highlights:
- Four new query strategies: Try even more combinations than before.
- Vector indices integration: HNSW and KNN indices are now available via a unified interface and can easily be used within your code.
- Simplified installation: We dropped the torchtext dependency and cleaned up a lot of interfaces.

Github: https://github.com/webis-de/small-text

👂 Try it out for yourself! We are eager to hear your feedback.
🔧 Share your small-text applications and experiments in the newly added showcase section.
🌟 Support the project by leaving a star on the repo!

#activelearning #nlproc #machinelearning

View all posts