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Active Learning for Argument Mining: A Practical Approach

Active Learning for Argument Mining: A Practical Approach

28 September 2021
Nikolai Solmsdorf
Dietrich Trautmann
Hinrich Schütze
    HAI
ArXivPDFHTML

Papers citing "Active Learning for Argument Mining: A Practical Approach"

8 / 8 papers shown
Title
Aspect-Based Argument Mining
Aspect-Based Argument Mining
Dietrich Trautmann
29
18
0
01 Nov 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
372
11,979
0
27 Aug 2019
Domain adaptation for part-of-speech tagging of noisy user-generated
  text
Domain adaptation for part-of-speech tagging of noisy user-generated text
Luisa März
Dietrich Trautmann
Benjamin Roth
28
13
0
21 May 2019
Diverse mini-batch Active Learning
Diverse mini-batch Active Learning
Fedor Zhdanov
37
153
0
17 Jan 2019
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
80
9,312
0
09 Feb 2018
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
212
33,445
0
16 Oct 2013
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
485
31,406
0
16 Jan 2013
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
326
7,650
0
03 Jul 2012
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