loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Enes Burak Dündar ; Tolga Çekiç ; Onur Deniz and Seçil Arslan

Affiliation: R&D and Special Projects Department, Yapi Kredi Technology, Istanbul and Turkey

Keyword(s): Question-answering, Chat Bot, Word Embeddings.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Clustering and Classification Methods ; Computational Intelligence ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Mining Text and Semi-Structured Data ; Soft Computing ; Symbolic Systems

Abstract: In this paper, we have proposed a hybrid keyword-word embedding based question answering method for a Turkish chatbot in banking domain. This hyrid model is supported with the keywords that we have determined by clustering customer messages of Facebook Messenger bot of the bank. Word embedding models are utilized in order to represent words in a better way such that similarity between words can be meaningful. Keyword based similarity calculation between two questions enhanced our chatbot system. In order to evaluate performance of the proposed system, we have created a test data which contains questions with their corresponding answers. Questions in the test are paraphrased versions of ones in our dataset.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.117.148.105

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Dündar, E.; Çekiç, T.; Deniz, O. and Arslan, S. (2018). A Hybrid Approach to Question-answering for a Banking Chatbot on Turkish: Extending Keywords with Embedding Vectors. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KDIR; ISBN 978-989-758-330-8; ISSN 2184-3228, SciTePress, pages 171-177. DOI: 10.5220/0006925701710177

@conference{kdir18,
author={Enes Burak Dündar. and Tolga \c{C}eki\c{C}. and Onur Deniz. and Se\c{C}il Arslan.},
title={A Hybrid Approach to Question-answering for a Banking Chatbot on Turkish: Extending Keywords with Embedding Vectors},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KDIR},
year={2018},
pages={171-177},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006925701710177},
isbn={978-989-758-330-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KDIR
TI - A Hybrid Approach to Question-answering for a Banking Chatbot on Turkish: Extending Keywords with Embedding Vectors
SN - 978-989-758-330-8
IS - 2184-3228
AU - Dündar, E.
AU - Çekiç, T.
AU - Deniz, O.
AU - Arslan, S.
PY - 2018
SP - 171
EP - 177
DO - 10.5220/0006925701710177
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic