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Fine-Grained Entity Recognition
Proceedings of the AAAI Conference on Artificial Intelligence, 2021Entity Recognition (ER) is a key component of relation extraction systems and many other natural-language processing applications. Unfortunately, most ER systems are restricted to produce labels from to a small set of entity classes, e.g., person, organization, location or miscellaneous.
Xiao Ling, Daniel Weld
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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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Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11, 2011
Named Entity Recognition (NER) system has two sub-tasks, first is identification and second is classification. In first NER identifies words in texts which represent proper names like location, person-name, organization, date, time etc. and in second it classifies them in to predefined categories.
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Named Entity Recognition (NER) system has two sub-tasks, first is identification and second is classification. In first NER identifies words in texts which represent proper names like location, person-name, organization, date, time etc. and in second it classifies them in to predefined categories.
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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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Constraint-Satisfaction Inference for Entity Recognition
2011Contains fulltext : 333118.pdf (Publisher’s version ) (Closed access)
Canisius, Sander +2 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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IsiXhosa Named Entity Recognition Resources
ACM Transactions on Asian and Low-Resource Language Information Processing, 2022Named entity recognition has been one of the most widely researched natural language processing technologies over the past two decades. For the South African languages, however, relatively little research and development work has been done. This changed with the release of the NCHLT named entity annotated resources, a collection of named entity ...
Roald Eiselen, Andiswa Bukula
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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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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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