Results 41 to 50 of about 221,296 (163)
A CLUSTERING TECHNIQUE FOR THE VIETNAMESE WORD CATEGORIZATION
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]
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]
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
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]
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
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]
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
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
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
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

