Results 11 to 20 of about 2,690,170 (252)
HMM based Korean Named Entity Recognition [PDF]
In this paper, we present a named entity recognition model for Korean Language. Named entity recognition is an essential and important process of Question Answering and Information Extraction system.
Yi-Gyu Hwang +2 more
doaj +2 more sources
Named entity recognition: challenges in document annotation, gazetteer construction and disambiguation [PDF]
The ' information explosion' has generated unprecedented amount of published information that is still growing at an astonishing rate. As the amount of information grows, the problem of managing the information becomes challenging.
Zhang, Ziqi
core +6 more sources
MasakhaNER: Named Entity Recognition for African Languages
We take a step towards addressing the under- representation of the African continent in NLP research by bringing together different stakeholders to create the first large, publicly available, high-quality dataset for named entity recognition (NER) in ten
David Ifeoluwa Adelani +60 more
doaj +1 more source
Named Entity Recognition Using Conditional Random Fields
Named entity recognition (NER) is an important task in natural language processing, as it is widely featured as a key information extraction sub-task with numerous application areas.
Wahab Khan +5 more
doaj +1 more source
Named Entity Recognition in Bengali
This paper reports about a multi-engine approach for the development of a Named Entity Recognition (NER) system in Bengali by combining the classifiers such as Maximum Entropy (ME), Conditional Random Field (CRF) and Support Vector Machine (SVM) with ...
Asif Ekbal, Sivaji Bandyopadhyay
doaj +1 more source
MALAY NAMED ENTITY RECOGNITION USING RULE BASED APPROACH
Named Entity Recognition (NER) research based on rule is widely investigated and is used in various languages mainly English. However, the English NER rules are different with Malay language due to different morphology. Some of challenging issue in Malay
Ulfa Nadia, Nazlia Omar
doaj +1 more source
Adaptive Geoparsing Method for Toponym Recognition and Resolution in Unstructured Text
The automatic extraction of geospatial information is an important aspect of data mining. Computer systems capable of discovering geographic information from natural language involve a complex process called geoparsing, which includes two important tasks:
Edwin Aldana-Bobadilla +5 more
doaj +1 more source
Full-span named entity recognition with boundary regression
Span classification is a popular method for nested named entity recognition. To recognise full-span named entities, span-based models should enumerate and verify all possible entity spans in a sentence, which leads to serious problems regarding ...
Junhui Yu +4 more
doaj +1 more source
DroNER: Dataset for drone named entity recognition
The dataset is constructed from the drone flight log messages extracted from publicly available drone image datasets provided by VTO Labs under the Drone Forensic Program.
Swardiantara Silalahi +2 more
doaj +1 more source
Multi-feature Chinese named entity recognition
The task of named entity recognition is to locate the entities in the text and classify them into predefined categories. The current mainstream Chinese named entity recognition models are characterbased named entity recognition models which word ...
XU Xiao-Bo +4 more
doaj

