Results 301 to 310 of about 318,360 (330)
Some of the next articles are maybe not open access.
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
openaire +1 more source
Techniques for Named Entity Recognition
2012While 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,
openaire +1 more source
Named Entity Recognition and Relation Extraction
ACM Computing Surveys, 2022Zara Nasar, Syed Waqar Jaffry
exaly
An Overview of End-to-End Entity Resolution for Big Data
ACM Computing Surveys, 2021Vasilis Efthymiou +2 more
exaly
Blocking and Filtering Techniques for Entity Resolution
ACM Computing Surveys, 2021George Papadakis +2 more
exaly
Named Entity Recognition in Tweets
2021Named Entity Recognition (NER) is part of Natural Language Processing (NLP) and is a form of information extraction that helps locate and classify named entities in unstructured text into categories such as locations, people, organizations etc. While the performance of conventional NLP tools is rigorous for formal pieces of literature such as articles,
openaire +1 more source
Current approaches to the management of brain metastases
Nature Reviews Clinical Oncology, 2020John H Suh +2 more
exaly
New treatment strategies for advanced-stage gastrointestinal stromal tumours
Nature Reviews Clinical Oncology, 2022Lillian R Klug +2 more
exaly
Moving towards personalized treatments of immune-related adverse events
Nature Reviews Clinical Oncology, 2020Khashayar Esfahani +2 more
exaly