Results 1 to 10 of about 3,469 (183)
A Cascaded Unsupervised Model for PoS Tagging [PDF]
ACM Transactions on Asian and Low-Resource Language Information Processing, 2021 Part of speech (PoS) tagging is one of the fundamental syntactic tasks in Natural Language Processing, as it assigns a syntactic category to each word within a given sentence or context (such as noun, verb, adjective, etc.). Those syntactic categories could be used to further analyze the sentence-level syntax (e.g., dependency parsing) and thereby ...
Burcu Can, Necva Bölücü
exaly +5 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 ...
Ala Al-Fuqaha +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
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. Weakly supervised POS tagging would benefit various natural language processing applications in such languages where tagged corpora are mostly unavailable.
Deyu Zhou, Min-Ling Zhang, Yulan He
exaly +2 more sources
To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings [PDF]
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021 Part-of-Speech (POS) tags are routinely included as features in many NLP tasks. However, the importance and usefulness of POS tags needs to be examined as NLP expands to low-resource languages because linguists who provide many annotated resources do not place priority on early identification and tagging of POS.
Sarah R. Moeller, Ling Liu, Mans Hulden
openaire +1 more source
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
A Machine Learning Approach to POS Tagging [PDF]
Machine Learning, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lluís Màrquez +2 more
openaire +2 more sources