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Dissecting Span Identification Tasks with Performance Prediction

Dissecting Span Identification Tasks with Performance Prediction

6 October 2020
Sean Papay
Roman Klinger
Sebastian Padó
ArXivPDFHTML

Papers citing "Dissecting Span Identification Tasks with Performance Prediction"

8 / 8 papers shown
Title
Extensive Evaluation of Transformer-based Architectures for Adverse Drug
  Events Extraction
Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events Extraction
Simone Scaboro
Beatrice Portelli
Emmanuele Chersoni
Enrico Santus
Giuseppe Serra
26
8
0
08 Jun 2023
PeerDA: Data Augmentation via Modeling Peer Relation for Span
  Identification Tasks
PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks
Weiwen Xu
Xin Li
Yang Deng
W. Lam
Lidong Bing
39
9
0
17 Oct 2022
Improving Adverse Drug Event Extraction with SpanBERT on Different Text
  Typologies
Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies
Beatrice Portelli
Daniele Passabi
Edoardo Lenzi
G. Serra
Enrico Santus
Emmanuele Chersoni
MedIm
13
13
0
19 May 2021
UTNLP at SemEval-2021 Task 5: A Comparative Analysis of Toxic Span
  Detection using Attention-based, Named Entity Recognition, and Ensemble
  Models
UTNLP at SemEval-2021 Task 5: A Comparative Analysis of Toxic Span Detection using Attention-based, Named Entity Recognition, and Ensemble Models
Alireza Salemi
Nazanin Sabri
Emad Kebriaei
B. Bahrak
A. Shakery
14
3
0
10 Apr 2021
UPB at SemEval-2021 Task 8: Extracting Semantic Information on
  Measurements as Multi-Turn Question Answering
UPB at SemEval-2021 Task 8: Extracting Semantic Information on Measurements as Multi-Turn Question Answering
Andrei-Marius Avram
George-Eduard Zaharia
Dumitru-Clementin Cercel
M. Dascalu
27
2
0
09 Apr 2021
IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice
  Loss for Toxic Spans Detection
IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection
Archit Bansal
Abhay Kaushik
Ashutosh Modi
21
3
0
04 Apr 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
496
11,727
0
09 Mar 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
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