Posted on January 17, 2013

Textkernel presents Match! at CLIN

Friday 18 January Textkernel will present Match! at CLIN (Computational Linguistics in the Netherlands), which takes place at ATAK in Enschede.
Remko Bonnema, CTO of Textkernel, will demonstrate matching CVs to job vacancies and present an overview of the steps taken to improve the matching results. A discussion will follow of what is still needed to find an optimal match between job vacancies and CVs.

Below you can find the full English abstract.

Matching CVs to job vacancies: semantic search in action

Remko Bonnema, Yves Peirsman, Gerard Goossen, Mihai Rotaru, Lena Bayeva, Chao Li, Florence Berbain, Carsten Lygteskov Hansen – Textkernel

Document understanding systems have proven very successful within many different domains by transforming unstructured documents into a structured and searchable information source. However, a major problem still remains for users: finding the desired information requires both knowledge of the domain and of the query language. A successful solution should guide and inspire the user’ search without enforcing unwanted assumptions. One example of such assumption is to expect users have a full grasp of the data model used for structuring the CVs when searching for suitable candidates in a database of analyzed CVs.

Our solution to the above problem is to automatically transform a job vacancy into a query. This query is then used to search for matching CVs and it is fully compliant with the data model used in the CVs database. Such queries allow for optimal results even for inexperienced users. The whole process employs a wide variety of NLP techniques which are required to bridge the lexical and semantic gaps between the job vacancy and the CV domains.

The talk consists of a demonstration of the system and a presentation of the different features available. We also present an overview of the steps taken to improve the matching results and a discussion of what is still needed to find an optimal match between job vacancies and CVs.