Kay Rottmann
6 papers · 2008–2023 · 2 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (2) π Academic Marathon (15) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (18) π§ Keyword Pioneer
π
Cross-Pollinator
(14)
Conferences
ACL (3)
EMNLP (3)
Top co-authors
Research topics
Keywords
intent classification
(2)
natural language understanding
(2)
cross-lingual transfer
(1)
named entity recognition
(1)
text generation
(1)
adversarial training
(1)
importance weighting
(1)
distribution shift
(1)
training efficiency
(1)
batch processing
(1)
sampling bia
(1)
slot filling
(1)
seq2seq model
(1)
multilingual natural language understanding
(1)
multilingual nlu
(1)
virtual assistant
(1)
adversarial text generation
(1)
data redundancy
(1)
compute reduction
(1)
training data re-weighting
(1)
Papers
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
ACL 2023
Mitigating the Burden of Redundant Datasets via Batch-Wise Unique Samples and Frequency-Aware Losses
ACL 2023
Unsupervised training data re-weighting for natural language understanding with local distribution approximation
EMNLP 2022
Semi-supervised Adversarial Text Generation based on Seq2Seq models
EMNLP 2022
Massively Multilingual Natural Language Understanding 2022 (MMNLU-22) Workshop and Competition
EMNLP 2022
Recent Improvements in the CMU Large Scale Chinese-English SMT System
ACL 2008