Daniel Andor
8 papers · 2016–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
👥
Mega-Team · Squad
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Trend Setter
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Research topics
Machine Learning
(6)
Natural Language Processing
(6)
Applications · Natural Language Processing
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Core Methods
(3)
Learning Types
(3)
Application Areas
(2)
Architectures
(2)
Core AI
(2)
Understanding
(2)
Computer Science
(1)
Applications · Computer Science
(1)
Generation
(1)
Learning Paradigms
(1)
Keywords
part-of-speech tagging
(2)
language model
(2)
word sense disambiguation
(1)
question answering
(1)
syntactic parsing
(1)
answer extraction
(1)
dependency parsing
(1)
bert model
(1)
reading comprehension
(1)
question generation
(1)
semantic role labeling
(1)
machine reading comprehension
(1)
distributed computing
(1)
synthetic data generation
(1)
surrogate loss
(1)
recurrent neural network
(1)
synthetic data
(1)
model scaling
(1)
data pipeline
(1)
text-to-speech synthesis
(1)
Papers
Learning to Reject with a Fixed Predictor: Application to Decontextualization
ICLR 2024
Scaling Up Models and Data with t5x and seqio
JMLR 2023
Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension
EMNLP 2019
Synthetic QA Corpora Generation with Roundtrip Consistency
ACL 2019
A Challenge Set and Methods for Noun-Verb Ambiguity
EMNLP 2018
Linguistically-Informed Self-Attention for Semantic Role Labeling
EMNLP 2018
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings
ACL 2018
Globally Normalized Transition-Based Neural Networks
ACL 2016