David Mortensen
12 papers · 2016–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (4) π Academic Marathon (8) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (31)
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Academic Marathon
(8)
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
π
Century Club
(12)
ποΈ
Keyword Collector
(54)
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The Questioner
Conferences
EMNLP (5)
ACL (3)
NAACL (3)
AAAI (1)
Top co-authors
Keywords
zero-shot learning
(3)
neural network
(2)
low-resource language
(2)
transfer learning
(1)
speech recognition
(1)
computational linguistics
(1)
model calibration
(1)
neural architecture
(1)
historical linguistics
(1)
phylogenetic inference
(1)
beam search
(1)
support vector machine
(1)
language model
(1)
decision tree
(1)
downstream task
(1)
confidence calibration
(1)
multilingual evaluation
(1)
sequence-to-sequence model
(1)
entity typing
(1)
sequence labeling
(1)
Papers
Semisupervised Neural Proto-Language Reconstruction
ACL 2024
XferBench: a Data-Driven Benchmark for Emergent Language
NAACL 2024
Wav2Gloss: Generating Interlinear Glossed Text from Speech
ACL 2024
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models
EMNLP 2023
Counting the Bugs in ChatGPTβs Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model
EMNLP 2023
Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing
EMNLP 2023
Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study
EMNLP 2023
Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinese
NAACL 2022
Zero-shot Learning for Grapheme to Phoneme Conversion with Language Ensemble
ACL 2022
Towards Zero-Shot Learning for Automatic Phonemic Transcription
AAAI 2020
Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings
EMNLP 2016
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning
NAACL 2016