ListarGI-LYS - Congresos, conferencias, etc. por tema "Natural language processing"
Mostrando ítems 1-7 de 7
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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) ... -
Detecting Perspectives in Political Debates
(Association for Computational Linguistics, 2017-09)[Abstract]: We explore how to detect people’s perspectives that occupy a certain proposition. We propose a Bayesian modelling approach where topics (or propositions) and their associated perspectives (or viewpoints) are ... -
Increasing NLP Parsing Efficiency with Chunking
(M D P I AG, 2018-09-19)[Abstract] We introduce a “Chunk-and-Pass” parsing technique influenced by a psycholinguistic model, where linguistic information is processed not word-by-word but rather in larger chunks of words. We present preliminary ... -
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 ... -
Semantic Relation Extraction. Resources, Tools and Strategies
(Springer, 2016-07)[Abstract] Relation extraction is a subtask of information extraction that aims at obtaining instances of semantic relations present in texts. This information can be arranged in machine-readable formats, useful for several ... -
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 ... -
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 ...