Pregled bibliografske jedinice broj: 1062845
Analysing Rhetorical Structure as a Key Feature of Summary Coherence
Analysing Rhetorical Structure as a Key Feature of Summary Coherence // Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications / Yannakoudakis, Helen ; Kochmar, Ekaterina ; Leacock, Claudia ; Madnani, Nitin ; Pilán, Ildikó ; Zesch, Torsten (ur.).
Firenza : München: Association for Computational Linguistics (ACL), 2019. str. 46-51 doi:10.18653/v1/W19-4405 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1062845 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Analysing Rhetorical Structure as a Key Feature
of Summary
Coherence
Autori
Šnajder, Jan ; Sladoljev-Agejev, Tamara ; Kolić- Vehovec, Svjetlana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
/ Yannakoudakis, Helen ; Kochmar, Ekaterina ; Leacock, Claudia ; Madnani, Nitin ; Pilán, Ildikó ; Zesch, Torsten - Firenza : München : Association for Computational Linguistics (ACL), 2019, 46-51
ISBN
978-1-950737-34-5
Skup
14th Workshop on Innovative Use of NLP for Building Educational Applications
Mjesto i datum
Firenca, Italija, 02.08.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
rhetorical structure, summary coherence, automatic scoring
Sažetak
We present a model for automatic scoring of coherence based on comparing the rhetorical structure (RS) of college student summaries in L2 (English) against expert summaries. Coherence is conceptualised as a construct consisting of the rhetorical relation and its arguments. Comparison with expert-assigned scores shows that RS scores correlate with both cohesion and coherence. Furthermore, RS scores improve the accuracy of a regression model for cohesion score prediction.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Psihologija, Filologija, Kognitivna znanost (prirodne, tehničke, biomedicina i zdravstvo, društvene i humanističke znanosti)
POVEZANOST RADA
Projekti:
uniri-drustv-18-191 1346
Ustanove:
Filozofski fakultet, Rijeka,
Fakultet elektrotehnike i računarstva, Zagreb,
Ekonomski fakultet, Zagreb
