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LTP: A New Active Learning Strategy for CRF-Based Named Entity
  Recognition
v1v2 (latest)

LTP: A New Active Learning Strategy for CRF-Based Named Entity Recognition

8 January 2020
Mingyi Liu
Zhiying Tu
Tong Zhang
Xiaofei Xu
Zhongjie Wang
ArXiv (abs)PDFHTMLGithub (44★)

Papers citing "LTP: A New Active Learning Strategy for CRF-Based Named Entity Recognition"

9 / 9 papers shown
DUAL: Diversity and Uncertainty Active Learning for Text Summarization
DUAL: Diversity and Uncertainty Active Learning for Text Summarization
Petros Stylianos Giouroukis
Alexios Gidiotis
Grigorios Tsoumakas
345
2
0
02 Mar 2025
In-Context Learning on a Budget: A Case Study in Token Classification
In-Context Learning on a Budget: A Case Study in Token Classification
Uri Berger
Tal Baumel
Gabriel Stanovsky
292
0
0
19 Jun 2024
Perturbation-based Active Learning for Question Answering
Perturbation-based Active Learning for Question Answering
Fan Luo
Mihai Surdeanu
366
0
0
04 Nov 2023
Cross-lingual German Biomedical Information Extraction: from Zero-shot
  to Human-in-the-Loop
Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop
Siting Liang
Mareike Hartmann
Daniel Sonntag
248
3
0
24 Jan 2023
Multilingual Detection of Personal Employment Status on Twitter
Multilingual Detection of Personal Employment Status on TwitterAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Manuel Tonneau
D. Adjodah
João Palotti
Nir Grinberg
Samuel Fraiberger
247
16
0
17 Mar 2022
Bayesian Active Summarization
Bayesian Active SummarizationComputer Speech and Language (CSL), 2021
Alexios Gidiotis
Grigorios Tsoumakas
BDL
265
10
0
09 Oct 2021
Active Learning for Argument Mining: A Practical Approach
Active Learning for Argument Mining: A Practical Approach
Nikolai Solmsdorf
Dietrich Trautmann
Hinrich Schütze
HAI
181
1
0
28 Sep 2021
Improving Question Answering Performance Using Knowledge Distillation
  and Active Learning
Improving Question Answering Performance Using Knowledge Distillation and Active LearningEngineering applications of artificial intelligence (EAAI), 2021
Yasaman Boreshban
Seyed Morteza Mirbostani
Gholamreza Ghassem-Sani
Seyed Abolghasem Mirroshandel
Shahin Amiriparian
227
18
0
26 Sep 2021
Should We Trust This Summary? Bayesian Abstractive Summarization to The
  Rescue
Should We Trust This Summary? Bayesian Abstractive Summarization to The RescueFindings (Findings), 2021
Alexios Gidiotis
Grigorios Tsoumakas
UQCVUDBDL
304
11
0
21 May 2021
1
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