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Active Learning for Coreference Resolution using Discrete Annotation
v1v2v3 (latest)

Active Learning for Coreference Resolution using Discrete Annotation

28 April 2020
Belinda Z. Li
Gabriel Stanovsky
Luke Zettlemoyer
ArXiv (abs)PDFHTMLGithub (12★)

Papers citing "Active Learning for Coreference Resolution using Discrete Annotation"

15 / 15 papers shown
Title
Perturbation-based Active Learning for Question Answering
Perturbation-based Active Learning for Question Answering
Fan Luo
Mihai Surdeanu
83
0
0
04 Nov 2023
Data-efficient Active Learning for Structured Prediction with Partial
  Annotation and Self-Training
Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
95
1
0
22 May 2023
A Survey of Active Learning for Natural Language Processing
A Survey of Active Learning for Natural Language Processing
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
LM&MA
107
68
0
18 Oct 2022
ezCoref: Towards Unifying Annotation Guidelines for Coreference
  Resolution
ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution
Ankita Gupta
Marzena Karpinska
Wenlong Zhao
Kalpesh Krishna
Jack Merullo
Luke Yeh
Mohit Iyyer
Brendan O'Connor
63
5
0
13 Oct 2022
Aggregating Crowdsourced and Automatic Judgments to Scale Up a Corpus of
  Anaphoric Reference for Fiction and Wikipedia Texts
Aggregating Crowdsourced and Automatic Judgments to Scale Up a Corpus of Anaphoric Reference for Fiction and Wikipedia Texts
Juntao Yu
Silviu Paun
Maris Camilleri
Paloma Carretero García
Jon Chamberlain
Udo Kruschwitz
Massimo Poesio
61
8
0
11 Oct 2022
Efficient Methods for Natural Language Processing: A Survey
Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
168
114
0
31 Aug 2022
Multi-task Active Learning for Pre-trained Transformer-based Models
Multi-task Active Learning for Pre-trained Transformer-based Models
Guy Rotman
Roi Reichart
73
23
0
10 Aug 2022
Improving Question Answering Performance Using Knowledge Distillation
  and Active Learning
Improving Question Answering Performance Using Knowledge Distillation and Active Learning
Yasaman Boreshban
Seyed Morteza Mirbostani
Gholamreza Ghassem-Sani
Seyed Abolghasem Mirroshandel
Shahin Amiriparian
83
16
0
26 Sep 2021
Partially Supervised Named Entity Recognition via the Expected Entity
  Ratio Loss
Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss
Thomas Effland
Michael Collins
39
9
0
16 Aug 2021
Adapting Coreference Resolution Models through Active Learning
Adapting Coreference Resolution Models through Active Learning
Michelle Yuan
Patrick Xia
Chandler May
Benjamin Van Durme
Jordan L. Boyd-Graber
56
20
0
15 Apr 2021
CD2CR: Co-reference Resolution Across Documents and Domains
CD2CR: Co-reference Resolution Across Documents and Domains
James Ravenscroft
Arie Cattan
A. Clare
Ido Dagan
Maria Liakata
139
8
0
29 Jan 2021
CoRefi: A Crowd Sourcing Suite for Coreference Annotation
CoRefi: A Crowd Sourcing Suite for Coreference Annotation
A. Bornstein
Arie Cattan
Ido Dagan
150
18
0
06 Oct 2020
Cost-Quality Adaptive Active Learning for Chinese Clinical Named Entity
  Recognition
Cost-Quality Adaptive Active Learning for Chinese Clinical Named Entity Recognition
Tingting Cai
Yangming Zhou
Hong Zheng
45
5
0
28 Aug 2020
DQI: Measuring Data Quality in NLP
DQI: Measuring Data Quality in NLP
Swaroop Mishra
Anjana Arunkumar
Bhavdeep Singh Sachdeva
Chris Bryan
Chitta Baral
138
32
0
02 May 2020
A Neural Entity Coreference Resolution Review
A Neural Entity Coreference Resolution Review
Nikolaos Stylianou
I. Vlahavas
104
40
0
21 Oct 2019
1