Automatic matching of service offers to calls for tenders

The process for responding to tenders is very long, arduous and involves many repetitive tasks. Among these, it is necessary to read the invitation to tender in order to find the different requirements, important dates, legal obligations, constraints of presentation of the response, etc. All of these factors are used for the prequalification of a tender and for the drafting of the tender. These requirements are generally expressed in the form of free text. Automating the task of identifying these requirements cannot therefore be done easily using keywords and rather requires more complex linguistic analysis, thanks to automatic language processing.
The main objective of this research is to automatically extract the requirements of a call for tenders to speed up and simplify the process of responding to calls for tenders.

Faculty Supervisor:

Leila Kosseim

Student:

Andrés Lou

Partner:

Umaneo Technologies Inc

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

Concordia University