Listar Lingua e Sociedade da Información (Language in the Information Society) (LYS) por título
Mostrando ítems 29-48 de 122
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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 ... -
Cross-lingual Inflection as a Data Augmentation Method for Parsing
(Association for Computational Linguistics, 2022-05)[Absctract]: We propose a morphology-based method for low-resource (LR) dependency parsing. We train a morphological inflector for target LR languages, and apply it to related rich-resource (RR) treebanks to create ... -
Dancing in the Syntax Forest: Fast, Accurate and Explainable Sentiment Analysis with SALSA
(CEUR-WS, 2024)[Abstract]: Sentiment analysis is a key technology for companies and institutions to gauge public opinion on products, services or events. However, for large-scale sentiment analysis to be accessible to entities with modest ... -
Dependency parsing with bottom-up Hierarchical Pointer Networks
(Elsevier, 2023-03)[Abstract] Dependency parsing is a crucial step towards deep language understanding and, therefore, widely demanded by numerous Natural Language Processing applications. In particular, left-to-right and top-down transition-based ... -
Descripción y usabilidad de HARTA, una herramienta de ayuda para la redacción de textos académicos en español
(Universidad de Barcelona, 2023)[Resumen] Este artículo presenta la herramienta en línea HARTA (http://www.dicesp.com:8083/), que combina diccionario y corpus, acorde con la corriente de los últimos años en lexicografía. HARTA se centra en las ... -
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 ... -
Developing Open-Source Roguelike Games for Visually-Impaired Players by Using Low-Complexity NLP Techniques
(MDPI, 2020-08-19)[Abstract] The prominent graphic component of video games greatly limits the accessibility of thistype of entertainment by visually impaired users. We make here an overview of the first gamesdeveloped within an initiative ... -
Discontinuous Constituent Parsing as Sequence Labeling
(Association for Computational Linguistics, 2020-11)[Absctract]: This paper reduces discontinuous parsing to sequence labeling. It first shows that existing reductions for constituent parsing as labeling do not support discontinuities. Second, it fills this gap and proposes ... -
Discontinuous grammar as a foreign language
(Elsevier, 2023-03)[Abstract] In order to achieve deep natural language understanding, syntactic constituent parsing is a vital step, highly demanded by many artificial intelligence systems to process both text and speech. One of the most ... -
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 ... -
EN-ES-CS: An English-Spanish Code-Switching Twitter Corpus for Multilingual Sentiment Analysis
(European Language Resources Association (ELRA), 2016-05)[Abstract]: Code-switching texts are those that contain terms in two or more different languages, and they appear increasingly often in social media. The aim of this paper is to provide a resource to the research community ... -
Entity linking with distributional semantics
(Springer, 2016-07)[Abstract] Entity Linking (EL) consists in linking name mentions in a given text with their referring entities in external knowledge bases such as DBpedia/Wikipedia. In this paper, we propose an EL approach whose main ... -
Exploring cross-lingual word embeddings for the inference of bilingual dictionaries
(CEUR Workshop Proceedings, 2019)[Abstract]: We describe four systems to generate automatically bilingual dictionaries based on existing ones: three transitive systems differing only in the pivot language used, and a system based on a different ... -
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 ... -
From Partial to Strictly Incremental Constituent Parsing
(Association for Computational Linguistics, 2024-03)[Absctract]: We study incremental constituent parsers to assess their capacity to output trees based on prefix representations alone. Guided by strictly left-to-right generative language models and tree-decoding modules, ... -
From Tokens to Trees: Mapping Syntactic Structures in the Deserts of Data-Scarce Languages
(CEUR-WS, 2024-06)[Abstract]: Low-resource learning in natural language processing focuses on developing effective resources, tools, and technologies for languages that are less popular within the industry and academia. This effort is crucial ... -
Global Transition-based Non-projective Dependency Parsing
(Association for Computational Linguistics (ACL), 2018)[Absctract]: Shi, Huang, and Lee (2017a) obtained state-of-the-art results for English and Chinese dependency parsing by combining dynamic-programming implementations of transition-based dependency parsers with a minimal ... -
GRALENIA: Antimicrobial Resistance Management based on Natural Language and Artificial Intelligence
(CEUR-WS, 2024)[Abstract]: The objective of GRALENIA project is to develop a multidisciplinary, comprehensive and interoperable platform incorporating artificial intelligence algorithms and natural language processing techniques to improve ... -
Grammar Assistance Using Syntactic Structures (GAUSS)
(CEUR-WS, 2024)[Abstract]: Automatic grammar coaching serves an important purpose of advising on standard grammar varieties while not imposing social pressures or reinforcing established social roles. Such systems already exist but most ... -
Grounding the Semantics of Part-of-Day Nouns Worldwide using Twitter
(Association for Computational Linguistics, 2018-06)[Absctract]: The usage of part-of-day nouns, such as ‘night’, and their time-specific greetings (‘good night’), varies across languages and cultures. We show the possibilities that Twitter offers for studying the semantics ...
