Results 1 to 10 of about 53,919 (186)
Weakly Supervised POS Tagging without Disambiguation [PDF]
ACM Transactions on Asian and Low-Resource Language Information Processing, 2018 Weakly supervised part-of-speech (POS) tagging is to learn to predict the POS tag for a given word in context by making use of partial annotated data instead of the fully tagged corpora.
Min-Ling Zhang, Yulan He
exaly +3 more sources
From POS tagging to dependency parsing for biomedical event extraction [PDF]
BMC Bioinformatics, 2019 Background Given the importance of relation or event extraction from biomedical research publications to support knowledge capture and synthesis, and the strong dependency of approaches to this information extraction task on syntactic information, it is ...
Dat Quoc Nguyen, Karin Verspoor
doaj +2 more sources
Neural POS tagging of shahmukhi by using contextualized word representations
Journal of King Saud University - Computer and Information Sciences, 2023 Part of Speech (POS) tagging has a preliminary role in building natural language processing applications. This paper presents the development and evaluation of the first POS tagged corpus along with a Bi-directional long-short memory (BiLSTM) network ...
Toqeer Ehsan +2 more
exaly +3 more sources
A conditional random field based approach for high-accuracy part-of-speech tagging using language-independent features [PDF]
PeerJ Computer SciencePart-of-speech (POS) tagging is the process of assigning tags or labels to each word of a text based on the grammatical category. It provides the ability to understand the grammatical structure of a text and plays an important role in many natural ...
Mushtaq Ali +2 more
doaj +3 more sources
An improved joint model: POS tagging and dependency parsing [PDF]
Journal of Artificial Intelligence and Data Mining, 2016 Dependency parsing is a way of syntactic parsing and a natural language that automatically analyzes the dependency structure of sentences, and the input for each sentence creates a dependency graph.
A. Pakzad, B. Minaei Bidgoli
doaj +1 more source
Part of speech tagging: a systematic review of deep learning and machine learning approaches
Journal of Big Data, 2022 Natural language processing (NLP) tools have sparked a great deal of interest due to rapid improvements in information and communications technologies. As a result, many different NLP tools are being produced.
Alebachew Chiche, Betselot Yitagesu
doaj +1 more source
Egyptian Informatics Journal, 2021 This paper describes how a simple novel Galois Power-of-Two (GPOW2) real-time embedding scheme is used to improve the performance and accuracy of downstream NLP tasks.
Mohammed A. ELAffendi +2 more
doaj +1 more source
SUSPENDED QUOTATIONS: A CORPUS ANALYSIS OF FUNCTIONS
Le Simplegadi, 2020 By joining manual analysis and corpus linguistics methods, this paper compares and contrasts the use of suspended quotations in Charles Dickens and Jane Austen.
Francesca Bianchi
doaj +1 more source
Applied Sciences, 2023 Various research approaches have attempted to solve the length difference problem between the surface form and the base form of words in the Korean morphological analysis and part-of-speech (POS) tagging task. The compound POS tagging method is a popular
Hyeong Jin Shin +2 more
doaj +1 more source
MulTed: a multilingual aligned and tagged parallel corpus [PDF]
Applied Computing and Informatics, 2022 Recently, more data-driven approaches are demanding multilingual parallel resources primarily in the cross-language studies. To meet these demands, building multilingual parallel corpora are becoming the focus of many Natural Language Processing (NLP ...
Imad Zeroual, Abdelhak Lakhouaja
doaj +1 more source