Results 41 to 50 of about 221,296 (163)

A CLUSTERING TECHNIQUE FOR THE VIETNAMESE WORD CATEGORIZATION

open access: yesTạp 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

Evaluating POS tagging under sub-optimal conditions : or: does meticulousness pay? [PDF]

open access: yes, 2000
In this paper, we investigate the role of sub-optimality in training data for part-of-speech tagging. In particular, we examine to what extent the size of the training corpus and certain types of errors in it affect the performance of the tagger.
Kübler, Sandra, Wagner, Andreas
core  

From news to comment: Resources and benchmarks for parsing the language of web 2.0 [PDF]

open access: yes, 2011
We investigate the problem of parsing the noisy language of social media. We evaluate four all-Street-Journal-trained statistical parsers (Berkeley, Brown, Malt and MST) on a new dataset containing 1,000 phrase structure trees for sentences from ...
Foster, Jennifer   +6 more
core   +2 more sources

From Ecological Culture to Green Innovation: The Role of Ethnic Minority Corporate Leaders in China

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Do ecological values embedded in ethnic cultures influence the environmental strategies of corporate leaders and their firms' green innovation? We examine this question in China's multiethnic context, where distinct ecological traditions across ethnic groups create sharp cultural contrasts that can be traced into leadership composition and ...
Yuan Du, Yingxin Di, Wei Cui
wiley   +1 more source

POS tagging for German : how important is the right context? [PDF]

open access: yes, 2008
Part-of-Speech tagging is generally performed by Markov models, based on bigram or trigram models. While Markov models have a strong concentration on the left context of a word, many languages require the inclusion of right context for correct ...
Ivanova, Steliana, Kübler, Sandra
core  

From Dictionaries to Deep Learning: A Systematic Mapping Review of the Natural Language Processing Tasks Used to Analyze Sustainability Reports

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study aims at shedding light on the vast landscape of natural language processing (NLP) tasks used when analyzing sustainability reports or sustainability within integrated annual reports. A systematic literature review is carried out, identifying 160 studies of relevance.
Hannes Cordes
wiley   +1 more source

Unsupervised Bilingual POS Tagging with Markov Random Fields [PDF]

open access: yes, 2011
In this paper, we give a treatment to the problem of bilingual part-of-speech induction with parallel data. We demonstrate that naive optimizationof log-likelihood with joint MRFs suffers from a severe problem of local maxima,and suggest an alternative –
Chen, Desai   +3 more
core  

A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records

open access: yesBMC Medical Informatics and Decision Making, 2019
Background The Named Entity Recognition (NER) task as a key step in the extraction of health information, has encountered many challenges in Chinese Electronic Medical Records (EMRs). Firstly, the casual use of Chinese abbreviations and doctors’ personal
Xiaoling Cai, Shoubin Dong, Jinlong Hu
doaj   +1 more source

Use of natural language processing to extract uterine weight from pathology reports

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Introduction For patients requiring hysterectomy, uterine weight is an important factor affecting surgical complexity and surgical outcomes. However, uterine weight is not readily available for analysis in administrative databases. In the present study, we use natural language processing to extract uterine weight from narrative pathology text.
Steven Habbous   +3 more
wiley   +1 more source

Mechanism‐Guided Engineering of Upconversion Nanoparticles for Antibacterial Phototherapy: From Photonic Principles to Translational Nanosystems

open access: yesSmall, EarlyView.
This review provides a systematic overview of the field of antibacterial PhotoDynamic Therapy (aPDT) triggered by upconversion nanoparticles (UCNPs), focusing on the mechanisms and the key factors that define their efficacy for generating bactericidal species upon NIR‐light activation.
Zhe Li   +3 more
wiley   +1 more source

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