%0 Conference Paper %1 pereira_taxonomy_2019 %A Pereira, Bianca %A Robin, Cecile %A Daudert, Tobias %A McCrae, John P. %A Mohanty, Pranab %A Buitelaar, Paul %B Semantic Systems. The Power of AI and Knowledge Graphs %C Cham %D 2019 %E Acosta, Maribel %E Cudré-Mauroux, Philippe %E Maleshkova, Maria %E Pellegrini, Tassilo %E Sack, Harald %E Sure-Vetter, York %I Springer International Publishing %K terminologieextraktion %P 175--190 %R 10.1007/978-3-030-33220-4_13 %T Taxonomy extraction for customer service knowledge base construction %X 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. %@ 978-3-030-33220-4

@inproceedings{pereira_taxonomy_2019, abstract = {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.}, added-at = {2019-11-17T15:56:07.000+0100}, address = {Cham}, author = {Pereira, Bianca and Robin, Cecile and Daudert, Tobias and McCrae, John P. and Mohanty, Pranab and Buitelaar, Paul}, biburl = {https://www.bibsonomy.org/bibtex/2e663e6740c8209600b61aed68cd04147/lepsky}, booktitle = {Semantic {Systems}. {The} {Power} of {AI} and {Knowledge} {Graphs}}, doi = {10.1007/978-3-030-33220-4_13}, editor = {Acosta, Maribel and Cudré-Mauroux, Philippe and Maleshkova, Maria and Pellegrini, Tassilo and Sack, Harald and Sure-Vetter, York}, interhash = {baac39b7826f331a7e0dbaa350ddc331}, intrahash = {e663e6740c8209600b61aed68cd04147}, isbn = {978-3-030-33220-4}, keywords = {terminologieextraktion}, language = {en}, pages = {175--190}, publisher = {Springer International Publishing}, series = {Lecture {Notes} in {Computer} {Science}}, timestamp = {2019-11-17T15:56:07.000+0100}, title = {Taxonomy extraction for customer service knowledge base construction}, year = 2019 }