Microsoft Technology Licensing, LLC

Rania Ibrahim

Eslam Kamal Abdel-Aal Abdel-Reheem

Michel Naim Naguib Gerguis

Achraf Abdel Moneim Tawfik Chalabi

Mohamed Farouk Abdel-Hady

Ahmed Said Morsy

Abubakrelsedik Alsebai Karali

Nematallah Ali Mahmoud Saleh

Named entity recognition is described, for example, to detect an instance of a named entity in a web page and classify the named entity as being an organization or other predefined class. In various examples, named entity recognition results are used to augment text from which the named entity was recognized; the augmentation may comprise information retrieval results about the named entity mention. In various embodiments, labeled training sentences in many different languages and for many different classes, are obtained to train machine learning components of a multi-lingual, multi-class, named entity recognition system. In examples, labeled training sentences are obtained from at least two sources, a first source using a multi-lingual or monolingual corpus of inter-linked documents and a second source using machine translation training data. In examples, labeled training sentences from the two sources are selectively sampled for training the named entity recognition system.

Named entity recognition

Growing community of inventors

Cairo, Egypt

Rania Ibrahim