Formulaic language identification model based on GCN fusing associated information
F Meng, Y Zheng, S Bao, J Wang, S Yang - PeerJ Computer Science, 2022 - peerj.com
Formulaic language is a general term for ready-made structures in a language. It usually has
fixed grammatical structure, stable language expression meaning and specific use context …
fixed grammatical structure, stable language expression meaning and specific use context …
Edition 1.1 of the PARSEME shared task on automatic identification of verbal multiword expressions
This paper describes the PARSEME Shared Task 1.1 on automatic identification of verbal
multi-word expressions. We present the annotation methodology, focusing on changes from …
multi-word expressions. We present the annotation methodology, focusing on changes from …
Multiword expression aware neural machine translation
A Zaninello, A Birch - … of the Twelfth Language Resources and …, 2020 - aclanthology.org
Abstract Multiword Expressions (MWEs) are a frequently occurring phenomenon found in all
natural languages that is of great importance to linguistic theory, natural language …
natural languages that is of great importance to linguistic theory, natural language …
MICE: mining idioms with contextual embeddings
Idiomatic expressions can be problematic for natural language processing applications as
their meaning cannot be inferred from their constituting words. A lack of successful …
their meaning cannot be inferred from their constituting words. A lack of successful …
Detecting light verb constructions across languages
Light verb constructions (LVCs) are verb and noun combinations in which the verb has lost
its meaning to some degree and the noun is used in one of its original senses, typically …
its meaning to some degree and the noun is used in one of its original senses, typically …
Deep-BGT at PARSEME shared task 2018: Bidirectional LSTM-CRF model for verbal multiword expression identification
This paper describes the Deep-BGT system that participated to the PARSEME shared task
2018 on automatic identification of verbal multiword expressions (VMWEs). Our system is …
2018 on automatic identification of verbal multiword expressions (VMWEs). Our system is …
Bridging the “gApp”: improving neural machine translation systems for multiword expression detection
CM Hidalgo-Ternero, GC Pastor - Yearbook of Phraseology, 2020 - degruyter.com
The present research introduces the tool gApp, a Python-based text preprocessing system
for the automatic identification and conversion of discontinuous multiword expressions …
for the automatic identification and conversion of discontinuous multiword expressions …
TRAPACC and TRAPACCS at PARSEME shared task 2018: Neural transition tagging of verbal multiword expressions
R Stodden, B QasemiZadeh… - Proceedings of the Joint …, 2018 - aclanthology.org
We describe the TRAPACC system and its variant TRAPACCS that participated in the closed
track of the PARSEME Shared Task 2018 on labeling verbal multiword expressions …
track of the PARSEME Shared Task 2018 on labeling verbal multiword expressions …
Deep neural representations for multiword expressions detection
K Kanclerz, M Piasecki - Proceedings of the 60th Annual Meeting …, 2022 - aclanthology.org
Effective methods for multiword expressions detection are important for many technologies
related to Natural Language Processing. Most contemporary methods are based on the …
related to Natural Language Processing. Most contemporary methods are based on the …
[PDF][PDF] TRAVIS at PARSEME Shared Task 2020: How good is (m) BERT at seeing the unseen?
M Kurfali - … (COLING), Barcelona, Spain (Online), December 13 …, 2020 - diva-portal.org
This paper describes the TRAVIS system built for the PARSEME Shared Task 2020 on
semisupervised identification of verbal multiword expressions. TRAVIS is a fully feature …
semisupervised identification of verbal multiword expressions. TRAVIS is a fully feature …