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sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In
  Neural Word Embeddings

sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings

19 November 2015
Andrew Trask
Phillip Michalak
John Chih Liu
ArXivPDFHTML

Papers citing "sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings"

7 / 7 papers shown
Title
Automated Testing and Improvement of Named Entity Recognition Systems
Automated Testing and Improvement of Named Entity Recognition Systems
Boxi Yu
Yi-Nuo Hu
Qiuyang Mang
Wen-Ying Hu
Pinjia He
25
6
0
14 Aug 2023
Leaf: Multiple-Choice Question Generation
Leaf: Multiple-Choice Question Generation
Kristiyan Vachev
Momchil Hardalov
Georgi Karadzhov
Georgi Georgiev
Ivan Koychev
Preslav Nakov
AI4Ed
30
21
0
22 Jan 2022
A Comparative Study of Transformers on Word Sense Disambiguation
A Comparative Study of Transformers on Word Sense Disambiguation
Avi Chawla
Nidhi Mulay
Vikas Bishnoi
Gaurav Dhama
Dr. Anil Kumar Singh
26
4
0
30 Nov 2021
Adverse Media Mining for KYC and ESG Compliance
Adverse Media Mining for KYC and ESG Compliance
R. Khandpur
A. Nanda
Mathew Davis
Chen Li
Daulet Nurmanbetov
Sankalp Gaur
A. Talukder
32
1
0
22 Oct 2021
Multi-sense embeddings through a word sense disambiguation process
Multi-sense embeddings through a word sense disambiguation process
Terry Ruas
W. Grosky
Akiko Aizawa
11
40
0
21 Jan 2021
Med7: a transferable clinical natural language processing model for
  electronic health records
Med7: a transferable clinical natural language processing model for electronic health records
Andrey Kormilitzin
N. Vaci
Qiang Liu
A. Nevado-Holgado
19
115
0
03 Mar 2020
Context encoders as a simple but powerful extension of word2vec
Context encoders as a simple but powerful extension of word2vec
F. Horn
19
22
0
08 Jun 2017
1