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 …
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 …
Shoma at parseme shared task on automatic identification of vmwes: Neural multiword expression tagging with high generalisation
S Taslimipoor, O Rohanian - arXiv preprint arXiv:1809.03056, 2018 - arxiv.org
This paper presents a language-independent deep learning architecture adapted to the task
of multiword expression (MWE) identification. We employ a neural architecture comprising of …
of multiword expression (MWE) identification. We employ a neural architecture comprising of …
Gamified crowdsourcing for idiom corpora construction
Learning idiomatic expressions is seen as one of the most challenging stages in second-
language learning because of their unpredictable meaning. A similar situation holds for their …
language learning because of their unpredictable meaning. A similar situation holds for their …
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 …
ERMI at PARSEME shared task 2020: Embedding-rich multiword expression identification
Z Yirmibeşoğlu, T Güngör - Proceedings of the Joint Workshop on …, 2020 - aclanthology.org
This paper describes the ERMI system submitted to the closed track of the PARSEME
shared task 2020 on automatic identification of verbal multiword expressions (VMWEs) …
shared task 2020 on automatic identification of verbal multiword expressions (VMWEs) …
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 …
A survey of MWE identification experiments: the devil is in the details
Multiword expression (MWE) identification has been the focus of numerous research papers,
especially in the context of the DiMSUM and PARSEME Shared Tasks (STs). This survey …
especially in the context of the DiMSUM and PARSEME Shared Tasks (STs). This survey …
Representing overlaps in sequence labeling tasks with a novel tagging scheme: bigappy-unicrossy
Multiword expression (MWE) identification can be handled by using sequence tagging
approach accompanied with stochastic models and variants of IOB tagging scheme. In this …
approach accompanied with stochastic models and variants of IOB tagging scheme. In this …