activity
20192022
most citedSkillSpan: Hard and Soft Skill Extraction from English Job Postings

7 citations · 22 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL20221 cited

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…

cs.CL20226 cited

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…

cs.CL2022

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…

cs.CL20227 cited

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;…

cs.CL20212 cited

De-identification of Privacy-related Entities in Job Postings

Kristian Nørgaard Jensen, Mike Zhang, Barbara Plank

De-identification is the task of detecting privacy-related entities in text, such as person names, emails and contact data. It has been well-studied within the medical domain. The…

cs.CL20196 cited

The Effect of Translationese in Machine Translation Test Sets

Mike Zhang, Antonio Toral

The effect of translationese has been studied in the field of machine translation (MT), mostly with respect to training data. We study in depth the effect of translationese on test…