Slovene chat agent for a human resources management system

Matic Repše (2018) Slovene chat agent for a human resources management system. EngD thesis.

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Abstract

In this thesis we attempted to implement a slovene chat agent. The agent would serve as an interface to quickly retrieve data from a closed HRM (human resources management) system. To implement the mentioned agent, we used a slovene parser developed in the scope of the Communication in Slovene project. The parsed input sentence was then processed in Python, where we found all of its sentence elements. Knowing its sentence elements, we then tried to understand, which data it was asking for. In cases where we successfully found the meaning, we searched for the wanted data in the HRM system and then answered back to the user if we found it. Through the developed interface, users of the closed HRM system can ask for information with natural slovene language. We tested the developed agent with the new learning corpus we created during the development. Results showed we set up a good meaning searching algorithm. With the merging of our new learning corpus and the learning corpus ssj500k we raised the success rate of our meaning searching algorithm up to 84 %.

Item Type:

Thesis (EngD thesis)

Keywords:

NLP, chat agent, HRM

Number of Pages:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
izr. prof. dr Zoran Bosnić	3826	Mentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537757379)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

4084

Date Deposited:

05 Mar 2018 13:05

Last Modified:

03 Apr 2018 12:55

URI:

http://eprints.fri.uni-lj.si/id/eprint/4084

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