Michael Ginn
14 papers · 2023–2026 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
🐝 Cross-Pollinator (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🌈 Renaissance Researcher (6)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
⚡
Prolific Year
(7)
🗃️
Keyword Collector
(66)
❓
The Questioner
(2)
💎
Century Club
(13)
Conferences
ACL (8)
EMNLP (3)
NAACL (2)
SEMEVAL (1)
Top co-authors
Keywords
low-resource language
(3)
endangered language
(3)
interlinear glossing
(3)
token classification
(2)
in-context learning
(2)
data augmentation
(2)
named entity recognition
(2)
morphological inflection
(2)
multilingual model
(2)
interlinear glossed text
(2)
large language model
(2)
legal document
(2)
language documentation
(2)
abstract meaning representation
(1)
multilingual processing
(1)
machine translation
(1)
document understanding
(1)
dependency parsing
(1)
sampling strategy
(1)
domain generalization
(1)
Papers
Massively Multilingual Joint Segmentation and Glossing
ACL 2026
Is linguistically-motivated data augmentation worth it?
ACL 2025
LLM Dependency Parsing with In-Context Rules
ACL 2025
BELT: Building Endangered Language Technology
ACL 2024
Resisting the Lure of the Skyline: Grounding Practices in Active Learning for Morphological Inflection
ACL 2024
GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text
EMNLP 2024
On the Robustness of Neural Models for Full Sentence Transformation
NAACL 2024
Can we teach language models to gloss endangered languages?
EMNLP 2024
Decomposing Fusional Morphemes with Vector Embeddings
NAACL 2024
PyFoma: a Python finite-state compiler module
ACL 2024
Robust Generalization Strategies for Morpheme Glossing in an Endangered Language Documentation Context
EMNLP 2023
Findings of the SIGMORPHON 2023 Shared Task on Interlinear Glossing
ACL 2023
Ginn-Khamov at SemEval-2023 Task 6, Subtask B: Legal Named Entities Extraction for Heterogenous Documents
ACL 2023
Ginn-Khamov at SemEval-2023 Task 6, Subtask B: Legal Named Entities Extraction for Heterogenous Documents
SEMEVAL 2023