ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.10939
  4. Cited By
Evaluation of Embedding Models for Automatic Extraction and
  Classification of Acknowledged Entities in Scientific Documents

Evaluation of Embedding Models for Automatic Extraction and Classification of Acknowledged Entities in Scientific Documents

22 June 2022
N. Smirnova
Philipp Mayr
ArXiv (abs)PDFHTML

Papers citing "Evaluation of Embedding Models for Automatic Extraction and Classification of Acknowledged Entities in Scientific Documents"

4 / 4 papers shown
Title
FLERT: Document-Level Features for Named Entity Recognition
FLERT: Document-Level Features for Named Entity Recognition
Stefan Schweter
Alan Akbik
74
112
0
13 Nov 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
568
42,677
0
03 Dec 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
700
24,572
0
26 Jul 2019
SciBERT: A Pretrained Language Model for Scientific Text
SciBERT: A Pretrained Language Model for Scientific Text
Iz Beltagy
Kyle Lo
Arman Cohan
180
2,990
0
26 Mar 2019
1