Results 301 to 310 of about 321,295 (333)

Address Entities Extraction using Named Entity Recognition

2019 7th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), 2019
Due 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
openaire   +1 more source

Named Entity Recognition

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 for tweets

ACM Transactions on Intelligent Systems and Technology, 2013
Two 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, Furu Wei, Shaodian Zhang, Ming Zhou   +3 more
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Towards Bangla Named Entity Recognition

2018 21st International Conference of Computer and Information Technology (ICCIT), 2018
Named 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, Firoj Alam, Naira Khan   +2 more
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Named Entity Recognition for Vietnamese

2010
Named Entity Recognition is an important task but is still relatively new for Vietnamese. It is partly due to the lack of a large annotated corpus. In this paper, we present a systematic approach in building a named entity annotated corpus while at the same time building rules to recognize Vietnamese named entities.
Dat Ba Nguyen, Son Huu Hoang, Son Bao Pham, Thai Phuong Nguyen   +3 more
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Recursive Named Entity Recognition

2022
Cédric Lopez, Melissa Mekaoui, Kevin Aubry, Guillaume Tisserant, Hani Guenoune, Mathieu Dodard, Jean Bort, Philippe Garnier   +7 more
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Techniques for Named Entity Recognition

2012
While building and using a fully semantic understanding of Web contents is a distant goal, named entities (NEs) provide a small, tractable set of elements carrying a well-defined semantics. Generic named entities are names of persons, locations, organizations, phone numbers, and dates, while domain-specific named entities includes names of for example,
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Named Entity Recognition and Relation Extraction

ACM Computing Surveys, 2022
Zara Nasar, Syed Waqar Jaffry
exaly  

An Overview of End-to-End Entity Resolution for Big Data

ACM Computing Surveys, 2021
Vasilis Efthymiou, George Papadakis, Kostas Stefanidis   +2 more
exaly  

Blocking and Filtering Techniques for Entity Resolution

ACM Computing Surveys, 2021
George Papadakis, Dimitrios Skoutas, Emmanouil Thanos   +2 more
exaly