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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 ...
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 ...
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 ...
Multitask Pointer Network for Multi-Representational Parsing
(Elsevier, 2022-01-25)
[Abstract] Dependency and constituent trees are widely used by many artificial intelligence applications for representing the syntactic structure of human languages. Typically, these structures are separately produced by ...
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 ...
Transition-based semantic role labeling with pointer networks
(Elsevier, 2023-01-25)
[Abstract] Semantic role labeling (SRL) focuses on recognizing the predicate–argument structure of a sentence and plays a critical role in many natural language processing tasks such as machine translation and question ...