Christopher Schröder

cschroeder

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

AI & ML interests

NLP, Active Learning, Text Representations, PyTorch

Recent Activity

replied to their post 5 days ago

Here’s just one of the many exciting questions from our survey. If these topics resonate with you and you have experience working on supervised learning with text (i.e., supervised learning in Natural Language Processing), we warmly invite you to participate! Survey: https://bildungsportal.sachsen.de/umfragen/limesurvey/index.php/538271 Estimated time required: 5–15 minutes Deadline for participation: January 12, 2025 — ❤️ We’re seeking responses from across the globe! If you know 1–3 people who might qualify for this survey—particularly those in different regions—please share it with them. We’d really appreciate it! #NLProc #ActiveLearning #ML

posted an update 7 days ago

posted an update 18 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

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360

Here’s just one of the many exciting questions from our survey. If these topics resonate with you and you have experience working on supervised learning with text (i.e., supervised learning in Natural Language Processing), we warmly invite you to participate!

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

—

❤️ We’re seeking responses from across the globe! If you know 1–3 people who might qualify for this survey—particularly those in different regions—please share it with them. We’d really appreciate it!

#NLProc #ActiveLearning #ML

Post

355

💡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

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