Data Science for Innovation

Research unit Data Science for Innovation @Fraunhofer IMW. We make knowledge accessible, understandable and useful for science, industry, politics, and society.

[Data Science for Innovation @inno_data]

With @ElenaSngr, @mjjzha, @robvanderg and @barbara_plank

Paper: https://t.co/COiJwfGuJm

[Data Science for Innovation @inno_data]

📢We are excited to announce our paper "
Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings" has been accepted to #EACL2024 at the @nlp4hr workshop.

In cooperation with @NLPnorth and @MaiNLPlab.

[Data Science for Innovation @inno_data]

🧠 From LSTM to BERT, our paper tracks the evolution of neural methods in skill analysis, emphasizing the shift towards more sophisticated models.

[Data Science for Innovation @inno_data]

Great day at the Global Tech Mining Conference, at the TechMining for Collaboration track! Thank you, for the presenters: @jape_b @ArhoSuominen and Bruna Fonseca! And for the session chair Li Tang.

[Data Science for Innovation @inno_data]

Free registration at https://t.co/cM0czqXMJg

[Data Science for Innovation @inno_data]

Catch up tomorrow @jape_b presenting our work on Wikification of companies' about pages for partner selection at the #GlobalTechMiningOnline 2:15 PM CET.

[Data Science for Innovation @inno_data]

Hello, World!