TY - GEN
T1 - A Multi-Pass Sieve Coreference Resolution for Indonesian
AU - Artari, Valentina Kania Prameswara
AU - Mahendra, Rahmad
AU - Jiwanggi, Meganingrum Arista
AU - Anggraito, Adityo
AU - Budi, Indra
N1 - Funding Information:
The authors are supported by Universitas Indonesia through grant “Publikasi Terindeks Internasional (PUTI) Q2: NKB-4060/ UN2.RST/HKP.05.00/2020”
Publisher Copyright:
© 2021 Incoma Ltd. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Coreference resolution is an NLP task to find out whether the set of referring expressions belong to the same concept in discourse. A multi-pass sieve is a deterministic coreference model that implements several layers of sieves, where each sieve takes a pair of correlated mentions from a collection of non-coherent mentions. The multi-pass sieve is based on the principle of high precision, followed by increased recall in each sieve. In this work, we examines the portability of multi-pass sieve coreference resolution model to Indonesian language. We conduct the experiment on 201 Wikipedia documents and multi-pass sieve system yields 72.74% of MUC F-measure and 52.18% of BCUBED F-measure.
AB - Coreference resolution is an NLP task to find out whether the set of referring expressions belong to the same concept in discourse. A multi-pass sieve is a deterministic coreference model that implements several layers of sieves, where each sieve takes a pair of correlated mentions from a collection of non-coherent mentions. The multi-pass sieve is based on the principle of high precision, followed by increased recall in each sieve. In this work, we examines the portability of multi-pass sieve coreference resolution model to Indonesian language. We conduct the experiment on 201 Wikipedia documents and multi-pass sieve system yields 72.74% of MUC F-measure and 52.18% of BCUBED F-measure.
UR - http://www.scopus.com/inward/record.url?scp=85123596650&partnerID=8YFLogxK
U2 - 10.26615/978-954-452-072-4_010
DO - 10.26615/978-954-452-072-4_010
M3 - Conference contribution
AN - SCOPUS:85123596650
T3 - International Conference Recent Advances in Natural Language Processing, RANLP
SP - 79
EP - 85
BT - International Conference Recent Advances in Natural Language Processing, RANLP 2021
A2 - Angelova, Galia
A2 - Kunilovskaya, Maria
A2 - Mitkov, Ruslan
A2 - Nikolova-Koleva, Ivelina
PB - Incoma Ltd
T2 - International Conference on Recent Advances in Natural Language Processing: Deep Learning for Natural Language Processing Methods and Applications, RANLP 2021
Y2 - 1 September 2021 through 3 September 2021
ER -