Context-sensitive gender inference of named entities in text-Reference-Cited by-同舟云学术

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Context-sensitive gender inference of named entities in text

Published:2021-01 Issue:1 Volume:58 Page:102423
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Das Sudeshna,Paik Jiaul H

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference40 articles.

1. Contextual string embeddings for sequence labeling;Akbik,2018

2. Named entity recognition in wikipedia;Balasuriya,2009

3. An annotated dataset of literary entities;Bamman,2019

4. Word representations for gender classification using deep learning;Bhagvati;Procedia computer science,2018

5. Natural Language Processing with Python.;Bird,2009

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4. A novel neural network model fusion approach for improving medical named entity recognition in online health expert question-answering services;Expert Systems with Applications;2023-08

5. Gender tagging of named entities using retrieval‐assisted multi‐context aggregation: An unsupervised approach;Journal of the Association for Information Science and Technology;2023-01-27

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