24 citations · 63 across the 44 of their papers we have counts for
5 papers · 1 filter
Spectral Probing
Max Müller-Eberstein, Rob van der Goot, Barbara Plank
Linguistic information is encoded at varying timescales (subwords, phrases, etc.) and communicative levels, such as syntax and semantics. Contextualized embeddings have analogously…
Skill Extraction from Job Postings using Weak Supervision
Mike Zhang, Kristian Nørgaard Jensen, Rob van der Goot +1
Aggregated data obtained from job postings provide powerful insights into labor market demands, and emerging skills, and aid job matching. However, most extraction approaches are s…
Sort by Structure: Language Model Ranking as Dependency Probing
Max Müller-Eberstein, Rob van der Goot, Barbara Plank
Making an informed choice of pre-trained language model (LM) is critical for performance, yet environmentally costly, and as such widely underexplored. The field of Computer Vision…
Experimental Standards for Deep Learning in Natural Language Processing Research
Dennis Ulmer, Elisa Bassignana, Max Müller-Eberstein +5
The field of Deep Learning (DL) has undergone explosive growth during the last decade, with a substantial impact on Natural Language Processing (NLP) as well. Yet, compared to more…
Probing for Labeled Dependency Trees
Max Müller-Eberstein, Rob van der Goot, Barbara Plank
Probing has become an important tool for analyzing representations in Natural Language Processing (NLP). For graphical NLP tasks such as dependency parsing, linear probes are curre…