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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 ...
Creación de un treebank de dependencias universales mediante recursos existentes para lenguas próximas: el caso del gallego
(Sociedad Española para el Procesamiento del Lenguaje Natural, 2016-09)
[Resumen] En este trabajo presentamos una nueva estrategia para crear treebanks de lenguas con pocos recursos para el análisis sintáctico. El método consiste en la adaptación y combinación de diferentes treebanks anotados ...
Faster shift-reduce constituent parsing with a non-binary, bottom-up strategy
(Elsevier B.V., 2019-10)
[Absctract]: An increasingly wide range of artificial intelligence applications rely on syntactic information to process and extract meaning from natural language text or speech, with constituent trees being one of the ...
A linguistic approach for determining the topics of Spanish Twitter messages
(SAGE Publications & CILIP, 2015)
[Abstract]: The vast number of opinions and reviews provided in Twitter is helpful in order to make interesting findings about a given industry, but given the huge number of messages published every day, it is important ...
A syntactic approach for opinion mining on Spanish reviews
(Cambridge University Press, 2015-01)
[Abstract]: We describe an opinion mining system which classifies the polarity of Spanish texts. We propose an NLP approach that undertakes pre-processing, tokenisation and POS tagging of texts to then obtain the syntactic ...
How important is syntactic parsing accuracy? An empirical evaluation on rule-based sentiment analysis
(Springer, 2019)
[Abstract]: Syntactic parsing, the process of obtaining the internal structure of sentences in natural languages, is a crucial task for artificial intelligence applications that need to extract meaning from natural language ...
Supervised sentiment analysis in multilingual environments
(Elsevier, 2017-05)
[Abstract]: This article tackles the problem of performing multilingual polarity classification on Twitter, comparing three techniques: (1) a multilingual model trained on a multilingual dataset, obtained by fusing existing ...
Universal, unsupervised (rule-based), uncovered sentiment analysis
(Elsevier, 2017-02)
[Abstract]: We present a novel unsupervised approach for multilingual sentiment analysis driven by compositional syntax-based rules. On the one hand, we exploit some of the main advantages of unsupervised algorithms: (1) ...
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 ...
On the usefulness of lexical and syntactic processing in polarity classification of Twitter messages
(Wiley, 2015-09)
[Abstract]: Millions of micro texts are published every day on Twitter. Identifying the sentiment present in them can be helpful for measuring the frame of mind of the public, their satisfaction with respect to a product, ...