Daniel Pressel
6 papers · 2018–2022 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(18)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Natural Language Processing
(4)
Deep Learning
(3)
Core Methods
(3)
Artificial Intelligence
(2)
Architectures
(2)
Generation
(2)
Learning Types · Machine Learning
(2)
Understanding
(2)
Application Areas
(1)
Applications
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
text classification
(2)
reproducible research
(1)
multi-task learning
(1)
sequence labeling
(1)
natural language processing
(1)
speech recognition
(1)
conversational ai
(1)
named entity recognition
(1)
intent classification
(1)
natural language understanding
(1)
deep learning
(1)
intent detection
(1)
label noise
(1)
convolutional neural network
(1)
semantic embedding
(1)
language model
(1)
noisy label
(1)
transition constraint
(1)
cross-entropy loss
(1)
constrained decoding
(1)
Papers
Intent Discovery for Enterprise Virtual Assistants: Applications of Utterance Embedding and Clustering to Intent Mining
NAACL 2022
Lightweight Transformers for Conversational AI
NAACL 2022
Seq-2-Seq based Refinement of ASR Output for Spoken Name Capture
Interspeech 2022
Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers
EMNLP 2020
An Effective Label Noise Model for DNN Text Classification
NAACL 2019
Baseline: A Library for Rapid Modeling, Experimentation and Development of Deep Learning Algorithms targeting NLP
ACL 2018