7 citations · 43 across the 33 of their papers we have counts for
5 papers · 1 filter
Evidence > Intuition: Transferability Estimation for Encoder Selection
Elisa Bassignana, Max Müller-Eberstein, Mike Zhang +1
With the increase in availability of large pre-trained language models (LMs) in Natural Language Processing (NLP), it becomes critical to assess their fit for a specific target tas…
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…
Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning
Mike Zhang, Kristian Nørgaard Jensen, Barbara Plank
Skill Classification (SC) is the task of classifying job competences from job postings. This work is the first in SC applied to Danish job vacancy data. We release the first Danish…
SkillSpan: Hard and Soft Skill Extraction from English Job Postings
Mike Zhang, Kristian Nørgaard Jensen, Sif Dam Sonniks +1
Skill Extraction (SE) is an important and widely-studied task useful to gain insights into labor market dynamics. However, there is a lacuna of datasets and annotation guidelines;…
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…