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Elena Senger

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.IR1

identity via Semantic Scholar / OpenAlex

most citedDeep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.IR2025

Crossing Domains without Labels: Distant Supervision for Term Extraction

Elena Senger, Yuri Campbell, Rob van der Goot +1

Automatic Term Extraction (ATE) is a critical component in downstream NLP tasks such as document tagging, ontology construction and patent analysis. Current state-of-the-art method…

cs.CL2024

KARRIEREWEGE: A Large Scale Career Path Prediction Dataset

Elena Senger, Yuri Campbell, Rob van der Goot +1

Accurate career path prediction can support many stakeholders, like job seekers, recruiters, HR, and project managers. However, publicly available data and tools for career path pr…

cs.CL2024★ 2 cited

Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings

Elena Senger, Mike Zhang, Rob van der Goot +1

Recent years have brought significant advances to Natural Language Processing (NLP), which enabled fast progress in the field of computational job market analysis. Core tasks in th…

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