InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs

InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs

We investigate the problem of named entity recognition in the user-generated text such as social media posts. This task is rendered particularly difficult by the restricted length and limited grammatical coherence of this data type. Current state-of-the-art approaches rely on external sources such a...

Full description

Saved in:
Bibliographic Details
Main Authors: Moemmur Shahzad, Ayesha Amin, Diego Esteves, Axel-Cyrille Ngonga Ngomo
Format: Article
Language:English
Published: LibraryPress@UF 2021-04-01
Series:Proceedings of the International Florida Artificial Intelligence Research Society Conference
Subjects:
nlp
named entity recognition
attention models
microblogs
short-text
neural networks
Online Access:https://journals.flvc.org/FLAIRS/article/view/128538
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://journals.flvc.org/FLAIRS/article/view/128538

Similar Items