[HTML][HTML] ELECTRA-DTA: a new compound-protein binding affinity prediction model based on the contextualized sequence encoding
Motivation Drug-target binding affinity (DTA) reflects the strength of the drug-target
interaction; therefore, predicting the DTA can considerably benefit drug discovery by …
interaction; therefore, predicting the DTA can considerably benefit drug discovery by …
Without lexicons, multiword expression identification will never fly: A position statement
A Savary, SR Cordeiro, C Ramisch - Joint Workshop on Multiword …, 2019 - hal.science
Because most multiword expressions (MWEs), especially verbal ones, are semantically non-
compositional, their automatic identification in running text is a prerequisite for semantically …
compositional, their automatic identification in running text is a prerequisite for semantically …
Google Translate vs. DeepL: analysing neural machine translation performance under the challenge of phraseological variation
CM Hidalgo-Ternero - MonTI. Monografías de Traducción e …, 2020 - e-revistes.uji.es
La presente investigación tiene por objetivo analizar el rendimiento de dos sistemas de
traducción automática neuronal (TAN)—Google Translate y DeepL—en la traducción (ES> …
traducción automática neuronal (TAN)—Google Translate y DeepL—en la traducción (ES> …
MTLB-STRUCT@ parseme 2020: Capturing unseen multiword expressions using multi-task learning and pre-trained masked language models
This paper describes a semi-supervised system that jointly learns verbal multiword
expressions (VMWEs) and dependency parse trees as an auxiliary task. The model benefits …
expressions (VMWEs) and dependency parse trees as an auxiliary task. The model benefits …
DeepPrime2Sec: deep learning for protein secondary structure prediction from the primary sequences
Motivation Here we investigate deep learning-based prediction of protein secondary
structure from the protein primary sequence. We study the function of different features in this …
structure from the protein primary sequence. We study the function of different features in this …
Verbal multiword expressions for identification of metaphor
Metaphor is a linguistic device in which a concept is expressed by mentioning another.
Identifying metaphorical expressions, therefore, requires a non-compositional …
Identifying metaphorical expressions, therefore, requires a non-compositional …
Verbal Multiword Expression Identification: Do We Need a Sledgehammer to Crack a Nut?
C Pasquer, A Savary, C Ramisch… - Proceedings of the 28th …, 2020 - aclanthology.org
Automatic identification of multiword expressions (MWEs), like 'to cut corners'(to do an
incomplete job), is a pre-requisite for semantically-oriented downstream applications. This …
incomplete job), is a pre-requisite for semantically-oriented downstream applications. This …
Lexical semantic recognition
In lexical semantics, full-sentence segmentation and segment labeling of various
phenomena are generally treated separately, despite their interdependence. We …
phenomena are generally treated separately, despite their interdependence. We …
Bert (s) to detect multiword expressions
D Premasiri, T Ranasinghe - arXiv preprint arXiv:2208.07832, 2022 - arxiv.org
Multiword expressions (MWEs) present groups of words in which the meaning of the whole
is not derived from the meaning of its parts. The task of processing MWEs is crucial in many …
is not derived from the meaning of its parts. The task of processing MWEs is crucial in many …
[HTML][HTML] 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 …