Katharina Kann
64 papers · 2016–2023 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (76) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏠
Conference Loyalist
(31)
🔬
Deep Specialist
(13)
🤝
Dynamic Duo
(10)
🧬
Topic Evolution
🏆
Keyword Champion
(6)
🧭
Keyword Pioneer
📈
Trend Setter
🔥
Unstoppable · Bronze
❓
The Questioner
(4)
🗃️
Keyword Collector
(220)
🚀
Conference Pioneer
💎
Century Club · Silver
⚡
Prolific Year · Prolific
Top co-authors
Research topics
Natural Language Processing
(36)
Machine Learning
(34)
Learning Types · Machine Learning
(25)
Artificial Intelligence
(24)
Deep Learning
(23)
Resources & Methods
(19)
Core AI
(17)
Applications
(15)
Learning Types · Deep Learning
(14)
Interdisciplinary
(13)
Learning Paradigms
(12)
Core Methods
(11)
Linguistics
(11)
Understanding
(11)
Architectures
(9)
Keywords
low-resource language
(16)
cross-lingual transfer
(10)
machine translation
(8)
unsupervised learning
(7)
neural network
(6)
paradigm completion
(6)
morphological inflection
(5)
part-of-speech tagging
(5)
morphological paradigm
(4)
indigenous language
(4)
multi-task learning
(4)
zero-shot learning
(4)
word embedding
(3)
natural language processing
(3)
polysynthetic language
(3)
morphological segmentation
(3)
recurrent neural network
(3)
morphological analysis
(3)
grapheme-to-phoneme conversion
(3)
transductive learning
(2)
Papers
An Investigation of Noise in Morphological Inflection
ACL 2023
A Survey of Challenges and Methods in the Computational Modeling of Multi-Party Dialog
ACL 2023
Emerging Challenges in Personalized Medicine: Assessing Demographic Effects on Biomedical Question Answering Systems
IJCNLP 2023
Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the Speakers
ACL 2023
Findings of the AmericasNLP 2023 Shared Task on Machine Translation into Indigenous Languages
ACL 2023
Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models
EACL 2023
Mind the Gap between the Application Track and the Real World
ACL 2023
Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction
ACL 2023
Who Are All The Stochastic Parrots Imitating? They Should Tell Us!
IJCNLP 2023
A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection
EMNLP 2022
A Major Obstacle for NLP Research: Let’s Talk about Time Allocation!
EMNLP 2022
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages
ACL 2022
BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages
ACL 2022
CHIA: CHoosing Instances to Annotate for Machine Translation
EMNLP 2022
Machine Translation Between High-resource Languages in a Language Documentation Setting
COLING 2022
Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability
ACL 2022
Morphological Processing of Low-Resource Languages: Where We Are and What’s Next
ACL 2022
Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next
ACL 2022
Response Construct Tagging: NLP-Aided Assessment for Engineering Education
NAACL 2022
CLiMP: A Benchmark for Chinese Language Model Evaluation
EACL 2021
Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings
EACL 2021
Don’t Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data
ACL 2021
Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas
NAACL 2021
Findings of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering
ACL 2021
How to Adapt Your Pretrained Multilingual Model to 1600 Languages
ACL 2021
Paradigm Clustering with Weighted Edit Distance
ACL 2021
PROST: Physical Reasoning about Objects through Space and Time
ACL 2021
The World of an Octopus: How Reporting Bias Influences a Language Model’s Perception of Color
EMNLP 2021
What Would a Teacher Do? Predicting Future Talk Moves
ACL 2021
Acrostic Poem Generation
EMNLP 2020
Can Wikipedia Categories Improve Masked Language Model Pretraining?
ACL 2020
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too
AACL 2020
Frustratingly Easy Multilingual Grapheme-to-Phoneme Conversion
ACL 2020
IGT2P: From Interlinear Glossed Texts to Paradigms
EMNLP 2020
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?
ACL 2020
Learning to Learn Morphological Inflection for Resource-Poor Languages
AAAI 2020
Making a Point: Pointer-Generator Transformers for Disjoint Vocabularies
AACL 2020
Self-Training for Unsupervised Parsing with PRPN
ACL 2020
Tackling the Low-resource Challenge for Canonical Segmentation
EMNLP 2020
The IMS–CUBoulder System for the SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion
ACL 2020
The NYU-CUBoulder Systems for SIGMORPHON 2020 Task 0 and Task 2
ACL 2020
The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion
ACL 2020
Unsupervised Morphological Paradigm Completion
ACL 2020
Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages
AAAI 2020
Neural Unsupervised Parsing Beyond English
EMNLP 2019
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings
ACL 2019
Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)
ACL 2019
Subword-Level Language Identification for Intra-Word Code-Switching
NAACL 2019
Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set
EMNLP 2019
Transductive Auxiliary Task Self-Training for Neural Multi-Task Models
EMNLP 2019
Character-level Supervision for Low-resource POS Tagging
ACL 2018
Evaluating Word Embeddings in Multi-label Classification Using Fine-Grained Name Typing
ACL 2018
Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages
NAACL 2018
Lost in Translation: Analysis of Information Loss During Machine Translation Between Polysynthetic and Fusional Languages
COLING 2018
Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting
EMNLP 2018
Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!
CoNLL 2018
The CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection
CoNLL 2018
The NYU System for the CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection
CoNLL 2018
Neural Multi-Source Morphological Reinflection
EACL 2017
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion
ACL 2017
The LMU System for the CoNLL-SIGMORPHON 2017 Shared Task on Universal Morphological Reinflection
CoNLL 2017
Training Data Augmentation for Low-Resource Morphological Inflection
CoNLL 2017
Neural Morphological Analysis: Encoding-Decoding Canonical Segments
EMNLP 2016
Single-Model Encoder-Decoder with Explicit Morphological Representation for Reinflection
ACL 2016