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Using Context to Improve the Spanish WordNet Translation
We present some strategies for improving the Spanish version of WordNet, part of the MCR, selecting new lemmas for the Spanish synsets by translating the lemmas of the corresponding English synsets.
Some strategies for the improvement of a Spanish WordNet
Although there are currently several versions of Princeton WordNet for different languages, the lack of development of some of these versions does not make it possible to use them in different Natural Language Processing applications.
Antonymy-Synonymy Discrimination through the Repelling Parasiamese Neural Network
Antonymic and synonymic pairs may both occur nearby in word embeddings spaces because they have similar distributional information.
Statistical Deep Parsing for Spanish Using Neural Networks
This paper presents the development of a deep parser for Spanish that uses a HPSG grammar and returns trees that contain both syntactic and semantic information.
Supervised Hypernymy Detection in Spanish through Order Embeddings
This paper addresses the task of supervised hypernymy detection in Spanish through an order embedding and using pretrained word vectors as input.
Towards De-identification of Legal Texts
In many countries, personal information that can be published or shared between organizations is regulated and, therefore, documents must undergo a process of de-identification to eliminate or obfuscate confidential data.
Unraveling Antonym's Word Vectors through a Siamese-like Network
Discriminating antonyms and synonyms is an important NLP task that has the difficulty that both, antonyms and synonyms, contains similar distributional information.
Factuality Annotation and Learning in Spanish Texts
We present a proposal for the annotation of factuality of event mentions in Spanish texts and a free available annotated corpus.
Spanish Word Vectors from Wikipedia
Contents analisys from text data requires semantic representations that are difficult to obtain automatically, as they may require large handcrafted knowledge bases or manually annotated examples.
