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Mostrando ítems 1-10 de 12
Parsing as Pretraining
(2020)
[Abstract] Recent analyses suggest that encoders pretrained for language
modeling capture certain morpho-syntactic structure.
However, probing frameworks for word vectors still do not report
results on standard setups ...
Cognitive Constraints Built into Formal Grammars: Implications for Language Evolution
(Ravignani, A., Barbieri, C., Martins, M., Flaherty, M., Jadoul, Y., Lattenkamp, E., Little, H., Mudd, K., Verhoef, T., 2020-04-17)
[Abstract] We study the validity of the cognitive independence assumption using an ensemble of artificial syntactic structures from various classes of dependency grammars. Our findings show that memory limitations have ...
Towards Robust Word Embeddings for Noisy Texts
(MDPI, 2020)
[Abstract] Research on word embeddings has mainly focused on improving their performance on standard corpora, disregarding the difficulties posed by noisy texts in the form of tweets and other types of non-standard writing ...
Sentiment Analysis for Fake News Detection
(MDPI, 2021)
[Abstract] In recent years, we have witnessed a rise in fake news, i.e., provably false pieces of information created with the intention of deception. The dissemination of this type of news poses a serious threat to cohesion ...
On the Use of Parsing for Named Entity Recognition
(MDPI, 2021-01-25)
[Abstract] Parsing is a core natural language processing technique that can be used to obtain the structure underlying sentences in human languages. Named entity recognition (NER) is the task of identifying the entities ...
The Impact of Edge Displacement Vaserstein Distance on UD Parsing Performance
(The MIT Press, 2022)
[Abstract] We contribute to the discussion on parsing performance in NLP by introducing a measurement that evaluates the differences between the distributions of edge displacement (the directed distance of edges) seen in ...
Prototype of an Entity Recognition System for Antimicrobial Resistance Data Management
(Universidade da Coruña, Servizo de Publicacións, 2023)
[Abstract] Often, a study or research process requires the analysis of large volumes of information
in the form of unstructured text. This task consumes a large amount of time and resources of
the human experts in charge ...
Optimality of syntactic dependency distances
(American Physical Society, 2022-01)
[Abstract]: It is often stated that human languages, as other biological systems, are shaped by cost-cutting pressures but, to what extent? Attempts to quantify the degree of optimality of languages by means of an optimality ...
Transition-based Semantic Dependency Parsing with Pointer Networks
(Association for Computational Linguistics (ACL), 2020-07)
[Abstract]: Transition-based parsers implemented with Pointer Networks have become the new state of the art in dependency parsing, excelling in producing labelled syntactic trees and outperforming graph-based models in ...
Discontinuous grammar as a foreign language
(Elsevier, 2023-03)
[Abstract] In order to achieve deep natural language understanding, syntactic constituent parsing is a vital step, highly demanded by many artificial intelligence systems to process both text and speech. One of the most ...