TY - JOUR
T1 - NLP-CIC @ PRELEARN
T2 - 7th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop, EVALITA 2020
AU - Angel, Jason
AU - Aroyehun, Segun Taofeek
AU - Gelbukh, Alexander
N1 - Publisher Copyright:
Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
PY - 2020
Y1 - 2020
N2 - We present our systems and findings for the prerequisite relation learning task (PRELEARN) at EVALITA 2020. The task aims to classify whether a pair of concepts hold a prerequisite relation or not. We model the problem using handcrafted features and embedding representations for in-domain and cross-domain scenarios. Our submissions ranked first place in both scenarios with average F1 score of 0.887 and 0.690 respectively across domains on the test sets. We made our code freely available.
AB - We present our systems and findings for the prerequisite relation learning task (PRELEARN) at EVALITA 2020. The task aims to classify whether a pair of concepts hold a prerequisite relation or not. We model the problem using handcrafted features and embedding representations for in-domain and cross-domain scenarios. Our submissions ranked first place in both scenarios with average F1 score of 0.887 and 0.690 respectively across domains on the test sets. We made our code freely available.
UR - http://www.scopus.com/inward/record.url?scp=85097538841&partnerID=8YFLogxK
M3 - Artículo de la conferencia
AN - SCOPUS:85097538841
SN - 1613-0073
VL - 2765
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
Y2 - 17 December 2020
ER -