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A textual dataset of de-identified health records in Spanish and Catalan for medical entity recognition and anonymization. [PDF]
Sci DataLima-López S +7 more
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Enhancing biomedical named entity recognition with parallel boundary detection and category classification. [PDF]
BMC BioinformaticsWang Y, Tong H, Zhu Z, Hou F, Li Y.
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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 S. Weld
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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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A Survey on Named Entity Recognition
2020Natural language processing is an important research direction and research hotspot in the field of artificial intelligence. Named entity recognition is one of the key tasks, which is to identify entities with specific meanings in the text, such as names of people, places, institutions, proper nouns, etc.
Yan Wen 0002 +4 more
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Entity Recognition for Duplicate Filtering
2014We propose a system for automatic detection of duplicate entries in a repository of semi-structured text documents. The proposed system employs text-entity recognition to extract information regarding time, location, names of persons and organizations, as well as events described within the document content.
Jorge Alberto Cordero Cruz +2 more
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Named-Entity Recognition in Bengali
Post-Proceedings of the 4th and 5th Workshops of the Forum for Information Retrieval Evaluation, 2013This paper describes two systems for Named Entity Recognition (NER) and performance of two systems has been compared. The first system is a rule-based one whereas the second one is statistical (based on CRF) in nature. The systems vary in some other aspects too, for example, the first system works on untagged data (not even POS tag is done) to identify
Apurbalal Senapati +2 more
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Named entity recognition in query
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, 2009This paper addresses the problem of Named Entity Recognition in Query (NERQ), which involves detection of the named entity in a given query and classification of the named entity into predefined classes. NERQ is potentially useful in many applications in web search. The paper proposes taking a probabilistic approach to the task using query log data and
Jiafeng Guo +3 more
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Instance Filtering for entity recognition
ACM SIGKDD Explorations Newsletter, 2005In this paper we propose Instance Filtering as preprocessing step for supervised classification-based learning systems for entity recognition. The goal of Instance Filtering is to reduce both the skewed class distribution and the data set size by eliminating negative instances, while preserving positive ones as much
Alfio Massimiliano Gliozzo +2 more
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