Data Science for Innovation

With @ElenaSngr, @mjjzha, @robvanderg and @barbara_plank Paper: arxiv.org/abs/2402.05617

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

📢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.

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.

Free registration at gtmconference.org

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

Hello, World!