Pregled bibliografske jedinice broj: 891252
Language generation from DB query
Language generation from DB query // Proceedings of the Linguistic resources for automatic natural language generation - LiRA@NLG / Kocijan, Kristina ; Machonis, Peter ; Silberztein, Max (ur.).
Santiago de Compostela, Španjolska: Association for Computational Linguistics (ACL), 2017. str. 25-32 doi:10.18653/v1/W17-3804 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 891252 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Language generation from DB query
Autori
Kocijan, Kristina ; Bekavac, Božo ; Šojat, Krešimir
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the Linguistic resources for automatic natural language generation - LiRA@NLG
/ Kocijan, Kristina ; Machonis, Peter ; Silberztein, Max - : Association for Computational Linguistics (ACL), 2017, 25-32
ISBN
978-1-945626-80-7
Skup
Linguistic resources for automatic natural language generation - LiRA@NLG
Mjesto i datum
Santiago de Compostela, Španjolska, 04.09.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
DB query ; NooJ ; flight ticket domain ; natural language generation ; NooJ ; Croatian
Sažetak
This paper demonstrates how to generate natural language sentences from the pieces of data found in databases in the domain of flight tickets. By using NooJ to add context to specific customer data found in customer data sets, we are able to produce sentences that give a short textual summary of each customer, providing a list of possible suggestions how to proceed. In addition, due to the rich morphology of Croatian, we are giving special attention to matching gender, number and case information where appropriate. Thus, we are able to provide individualized and grammatically correct text in spite of the customer gender or the number of tickets bought and inquiries made. We believe that such short NL overviews can help ticket sellers get a quicker assessment of the type of a customer and allow for the exchange of information with more confidence and greater speed.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti, Filologija
POVEZANOST RADA
Ustanove:
Filozofski fakultet, Zagreb