Results 51 to 60 of about 53,994 (254)
Tracking Climate and Environmental Attention: A News‐Based Composite Index
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study introduces the Climate and Environmental Attention Index, a composite indicator that tracks media attention to climate and environmental issues. Based on the Semantic Brand Score, the proposed index extracts significant signals from unstructured text, going beyond traditional measures of word frequency and sentiment.
Gianna Figà‐Talamanca +3 more
wiley +1 more source
REiLAThe investigation of the grammatical level of syntax, particularly Indonesian, focuses exclusively on sentence formation and does not include the corpus.
Herpindo Herpindo +3 more
doaj +1 more source
Semantic Tagging with Deep Residual Networks [PDF]
, 2016 We propose a novel semantic tagging task, sem-tagging, tailored for the purpose of multilingual semantic parsing, and present the first tagger using deep residual networks (ResNets).
Bjerva, Johannes +2 more
core +1 more source
Introducing and Evaluating a Measure of Lexical Diversity Across Word Classes
TESOL Quarterly, EarlyView.Abstract Lexical diversity (LD) has been shown to be a strong predictor of second language (L2) proficiency. However, most current indices combine all word classes into a single measure and thus only capture the broadest patterns of lexical variation.
Taehyeong Kim +4 more
wiley +1 more source
A Machine learning approach to POS tagging [PDF]
, 1997 We have applied inductive learning of statistical decision trees and relaxation labelling to the Natural Language Processing (NLP) task of morphosyntactic disambiguation (Part Of Speech Tagging).
Màrquez Villodre, Lluís +2 more
core +1 more source
Robust Multilingual Part-of-Speech Tagging via Adversarial Training
, 2018 Adversarial training (AT) is a powerful regularization method for neural networks, aiming to achieve robustness to input perturbations. Yet, the specific effects of the robustness obtained from AT are still unclear in the context of natural language ...
Kasai, Jungo +2 more
core +1 more source
A POS Tagging Model Adapted to Learner English [PDF]
Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text, 2018 There has been very limited work on the adaptation of Part-Of-Speech (POS) tagging to learner English despite the fact that POS tagging is widely used in related tasks. In this paper, we explore how we can adapt POS tagging to learner English efficiently and effectively.
Ryo Nagata +4 more
openaire +1 more source
Decision Sciences, EarlyView.Abstract E‐commerce practitioners and researchers recognize that quality concerns are the primary drivers of customer dissatisfaction with products or services. While dissatisfaction can arise from various factors, little is known about quality and its components, specifically from the perspective of dissatisfied customers. Grounded in the foundational
Rahul Kumar +4 more
wiley +1 more source
Parts-of-speech tagger for Sindhi language using deep neural network architecture
Mehran University Research Journal of Engineering and TechnologyLanguage is a fundamental medium for human communication, encompassing spoken and written forms, each governed by grammatical rules. Sindhi, one of the oldest languages, is characterized by its rich morphology and grammatical structure.
Adnan Ali Memon +3 more
doaj +1 more source
A CLUSTERING TECHNIQUE FOR THE VIETNAMESE WORD CATEGORIZATION
Tạp chí Khoa học Đại học Đà Lạt, 2016 In natural language processing, part-of-speech (POS) tagging plays an important role, as its output is the input of many other tasks (syntax analysis, semantic analysis. . . ). One of the problems related to POS tagging is to define the POS set.
Nguyễn Minh Hiệp +3 more
doaj +1 more source