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2012
This chapter presents the application of ETL to language independent named entity recognition (NER). The NER task consists of finding all proper nouns in a text and classifying them among several given categories of interest. We apply ETL and ETL Committee to three different corpora in three different languages: Portuguese, Spanish and Dutch.
Cícero Nogueira dos Santos +1 more
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This chapter presents the application of ETL to language independent named entity recognition (NER). The NER task consists of finding all proper nouns in a text and classifying them among several given categories of interest. We apply ETL and ETL Committee to three different corpora in three different languages: Portuguese, Spanish and Dutch.
Cícero Nogueira dos Santos +1 more
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Improved named entity recognition
Proceedings of the 29th Annual ACM Symposium on Applied Computing, 2014The goal of this paper is to improve the Named Entity Recognition for automatic information extraction related to record based data in text documents.
Chun Yong Moon +3 more
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ACM Transactions on Asian and Low-Resource Language Information Processing, 2019
Named Entity Recognition (NER) plays a pivotal role in various natural language processing tasks, such as machine translation and automatic question-answering systems. Recognizing the importance of NER, a plethora of NER techniques for Western and Asian languages have been developed.
Safia Kanwal +4 more
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Named Entity Recognition (NER) plays a pivotal role in various natural language processing tasks, such as machine translation and automatic question-answering systems. Recognizing the importance of NER, a plethora of NER techniques for Western and Asian languages have been developed.
Safia Kanwal +4 more
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ImNER Indonesian medical named entity recognition
2014 2nd International Conference on Technology, Informatics, Management, Engineering & Environment, 2014We propose a medical named entity recognition for medical question answering system with Indonesian language. The aim is to provide a good medical named entity grammar by only using the available language resource. Our strategy here is to build the features most often used for the recognition and classification of medical named entities.
Wiwin Suwarningsih +2 more
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Generalized Named Entity Recognition Framework
2021 Asian Conference on Innovation in Technology (ASIANCON), 2021The process of digitization of data through Optical Character Recognition has been most commonly done through means of Computer Vision. An attempt was made to replace this with a Natural Language Processing method called Named Entity Recognition for extraction of the required data values from the OCR output of the images of documents through means of ...
Darshita Kumar +5 more
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Turkish Named-Entity Recognition
2018Named-entity recognition is an important task for many other natural language processing tasks and applications such as information extraction, question answering, sentiment analysis, machine translation, etc. Over the last decades named-entity recognition for Turkish has attracted significant attention both in terms of systems development and resource
Reyyan Yeniterzi +2 more
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Address Entities Extraction using Named Entity Recognition
2019 7th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), 2019Due to presence of large amounts of digital data, many tools for information extraction were developed in order to provide meaningful information and knowledge that could be used in text analysis and interpretation. Machine learning, artificial intelligence and data mining can help there a lot.
Emine Yaman, Kanita Krdžalic-Koric
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2014
Named entity recognition (NER) is the problem of locating and categorizing important nouns and proper nouns in a text. In this chapter, we review the general state of research on entity recognition, relevant challenges and the current state of the art works on named entity recognition on Semitic languages.
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Named entity recognition (NER) is the problem of locating and categorizing important nouns and proper nouns in a text. In this chapter, we review the general state of research on entity recognition, relevant challenges and the current state of the art works on named entity recognition on Semitic languages.
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Named entity recognition for tweets
ACM Transactions on Intelligent Systems and Technology, 2013Two main challenges of Named Entity Recognition (NER) for tweets are the insufficient information in a tweet and the lack of training data. We propose a novel method consisting of three core elements: (1) normalization of tweets; (2) combination of a K-Nearest Neighbors (KNN) classifier with a linear Conditional Random Fields (CRF) model; and (3 ...
Xiaohua Liu +3 more
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Towards Bangla Named Entity Recognition
2018 21st International Conference of Computer and Information Technology (ICCIT), 2018Named Entity Recognition is one of the fundamental problems for Information Extraction and the task is to find the mentioned entities in text. Over the years there has been significant progress in Named Entity Recognition (NER) research for resource-rich languages such as English, Chinese, and Italian. Although, there are a number of studies for Bangla
Shammur Absar Chowdhury +2 more
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