Taxonomy Extraction for Customer Service Knowledge Base Construction
| Main Authors: | Bianca Pereira, Cécile Robin, Tobias Daudert, John P. McCrae, Paul Buitelaar, Pranab Mohanty |
|---|---|
| Format: | Proceeding eJournal |
| Bahasa: | eng |
| Terbitan: |
, 2019
|
| Online Access: |
https://zenodo.org/record/3607284 |
| ctrlnum |
3607284 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Bianca Pereira</creator><creator>Cécile Robin</creator><creator>Tobias Daudert</creator><creator>John P. McCrae</creator><creator>Paul Buitelaar</creator><creator>Pranab Mohanty</creator><date>2019-11-04</date><description>Customer service agents play an important role in bridging the gap between customers' vocabulary and business terms. In a scenario where organisations are moving into semi-automatic customer service, semantic technologies with capacity to bridge this gap become a necessity. In this paper we explore the use of automatic taxonomy extraction from text as a means to reconstruct a customer-agent taxonomic vocabulary. We evaluate our proposed solution in an industry use case scenario in the financial domain and show that our approaches for automated term extraction and using in-domain training for taxonomy construction can improve the quality of automatically constructed taxonomic knowledge bases.</description><identifier>https://zenodo.org/record/3607284</identifier><identifier>10.5281/zenodo.3607284</identifier><identifier>oai:zenodo.org:3607284</identifier><language>eng</language><relation>doi:10.5281/zenodo.3607283</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><title>Taxonomy Extraction for Customer Service Knowledge Base Construction</title><type>Journal:Proceeding</type><type>Journal:Proceeding</type><recordID>3607284</recordID></dc>
|
| language |
eng |
| format |
Journal:Proceeding Journal Journal:eJournal |
| author |
Bianca Pereira Cécile Robin Tobias Daudert John P. McCrae Paul Buitelaar Pranab Mohanty |
| title |
Taxonomy Extraction for Customer Service Knowledge Base Construction |
| publishDate |
2019 |
| url |
https://zenodo.org/record/3607284 |
| contents |
Customer service agents play an important role in bridging the gap between customers' vocabulary and business terms. In a scenario where organisations are moving into semi-automatic customer service, semantic technologies with capacity to bridge this gap become a necessity. In this paper we explore the use of automatic taxonomy extraction from text as a means to reconstruct a customer-agent taxonomic vocabulary. We evaluate our proposed solution in an industry use case scenario in the financial domain and show that our approaches for automated term extraction and using in-domain training for taxonomy construction can improve the quality of automatically constructed taxonomic knowledge bases. |
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IOS17403.3607284 |
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Universitas PGRI Palembang |
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189 |
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library:university library |
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Perpustakaan Universitas PGRI Palembang |
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587 |
| collection |
Marga Life in South Sumatra in the Past: Puyang Concept Sacrificed and Demythosized |
| repository_id |
17403 |
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KOTA PALEMBANG |
| province |
SUMATERA SELATAN |
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IOS17403 |
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2022-07-26T01:58:45Z |
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2022-07-26T01:58:45Z |
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