E-recruitment recommendation systems recommend jobs to job seekers and job seekers to
recruiters. The recommendations are generated based on the suitability of job seekers for …

A changing job market, influenced by different factors such as globalization and
demographic growth, urges close monitoring. The digitization of the job market has given the …

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; …

Job interviews are the most widely accepted method for companies to select suitable
candidates, and a critical challenge is finding the right questions to ask job candidates …

Nowadays, recruitment processes are increasingly being automated by intelligent systems
which provide best candidates for companies' open positions, and vice versa. However …

Social recommendation which aims to leverage social connections among users to enhance
the recommendation performance. With the revival of deep learning techniques, many efforts …

Career mobility analysis aims at understanding the occupational movement patterns of
talents across distinct labor market entities, which enables a wide range of talent-centered …

Skill Extraction involves identifying skills and qualifications mentioned in documents such as
job postings and resumes. The task is commonly tackled by training supervised models …

The increasing number of benchmarks for Natural Language Processing (NLP) tasks in the
computational job market domain highlights the demand for methods that can handle job …

Real-world applications frequently seek to solve a general form of the Entity Matching (EM)
problem to find associated entities. Such scenarios include matching jobs to candidates in …