Buscar
Mostrando ítems 1-10 de 20
Shallow Recurrent Neural Network for Personality Recognition in Source Code
(CEUR Workshop Proceedings, 2016-12)
[Abstract] Personality recognition in source code constitutes a novel task in the field of author profiling on written text. In this paper we describe our proposal for the PR-SOCO shared task in FIRE 2016, which is based ...
Tratamiento sintáctico de la negación en análisis del sentimiento monolingüe y multilingüe
(2017-09-19)
[Abstract] Dealing with negation in a proper way is a relevant factor in order to obtain high performance sentiment analysis systems. In this framework, we present a method for the treatment of negation in Spanish that ...
Towards fast natural language parsing: FASTPARSE ERC Starting Grant
(Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2017-09)
[Abstract:] The goal of the FASTPARSE project (Fast Natural Language Parsing for
Large-Scale NLP), funded by the European Research Council (ERC), is to achieve
a breakthrough in the speed of natural language syntactic ...
Sequence Tagging for Fast Dependency Parsing
(2019)
[Abstract]
Dependency parsing has been built upon the idea of using parsing methods based on shift-reduce or graph-based algorithms in order to identify binary dependency relations between the words in a sentence. In this ...
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 ...
Viable Dependency Parsing as Sequence Labeling
(Association for Computational Linguistics (ACL), 2019-06)
[Abstract]: We recast dependency parsing as a sequence labeling problem, exploring several encodings of dependency trees as labels. While dependency parsing by means of sequence labeling had been attempted in existing work, ...
LyS at TASS 2015: Deep Learning Experiments for Sentiment Analysis on Spanish Tweets
(CEUR-WS Workshop Proceedings, 2015)
[Abstract]: This paper describes the participation of the LyS group at tass 2015. In
this year’s edition, we used a long short-term memory neural network to address the
two proposed challenges: (1) sentiment analysis at ...
Sentiment Analysis on Monolingual, Multilingual and Code-Switching Twitter Corpora
(Association for Computational Linguistics, 2015)
[Abstract]: We address the problem of performing po-
larity classification on Twitter over differ-
ent languages, focusing on English and
Spanish, comparing three techniques: (1)
a monolingual model which knows ...
A non-projective greedy dependency parser with bidirectional LSTMs
(Association for Computational Linguistics, 2017-08)
[Abstract]: The LyS-FASTPARSE team present BIST-COVINGTON, a neural implementation of the Covington (2001) algorithm for non-projective dependency parsing. The bidirectional LSTM approach by Kiperwasser and Goldberg (2016) ...