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Linguistically Informed Masking for Representation Learning in the
  Patent Domain

Linguistically Informed Masking for Representation Learning in the Patent Domain

10 June 2021
Sophia Althammer
Mark Buckley
Sebastian Hofstatter
Allan Hanbury
ArXivPDFHTML

Papers citing "Linguistically Informed Masking for Representation Learning in the Patent Domain"

6 / 6 papers shown
Title
Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Models
Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Models
Jiexin Wang
Adam Jatowt
Yi Cai
AI4CE
37
1
0
04 Jun 2024
A Comprehensive Survey on AI-based Methods for Patents
A Comprehensive Survey on AI-based Methods for Patents
Homaira Huda Shomee
Zhu Wang
Sathya Ravi
Sourav Medya
34
1
0
02 Apr 2024
Language Model Adaptation to Specialized Domains through Selective
  Masking based on Genre and Topical Characteristics
Language Model Adaptation to Specialized Domains through Selective Masking based on Genre and Topical Characteristics
Anas Belfathi
Ygor Gallina
Nicolas Hernandez
Richard Dufour
Laura Monceaux
44
1
0
19 Feb 2024
Temporal Blind Spots in Large Language Models
Temporal Blind Spots in Large Language Models
Jonas Wallat
Adam Jatowt
Avishek Anand
41
3
0
22 Jan 2024
Logic Mill -- A Knowledge Navigation System
Logic Mill -- A Knowledge Navigation System
Sebastian Erhardt
Mainak Ghosh
Erik Buunk
Michael E. Rose
Dietmar Harhoff
16
2
0
31 Dec 2022
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
279
13,373
0
25 Aug 2014
1