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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 ...
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 ...
Building a New Sentiment Analysis Dataset for Uzbek Language and Creating Baseline Models
(2019-08-02)
[Abstract] Making natural language processing technologies available for low-resource languages is an important goal to improve the access to technology in their communities of speakers. In this paper, we provide the first ...
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 ...
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 ...
Discovering Topics in Twitter About the COVID-19 Outbreak in Spain
(Sociedad Española de Procesamiento del Lenguaje Natural, 2021)
[Resumen] En este trabajo, analizamos lo que los usuarios han estado discutiendo en Twitter durante el comienzo de la pandemia causada por el COVID-19. Concretamente, analizamos tres fases diferenciadas de la crisis del ...
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 ...
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 ...