← Authors

Katharina Kann

73 papers · 2016–2023 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (9) 🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🗺️ Taxonomy Completionist (19) 🧭 Keyword Pioneer 🏠 Conference Loyalist (31) 🤝 Dynamic Duo (10) 🔬 Deep Specialist (16) 🧬 Topic Evolution 🏆 Keyword Champion (2) 🔥 Unstoppable (8) ⚡ Prolific Year (16) ❓ The Questioner (6) 🗃️ Keyword Collector (224) 💎 Century Club (73) 📈 Trend Setter 🚀 Conference Pioneer

Conferences

ACL (31) EMNLP (12) IJCNLP (9) CONLL (5) AACL (4) EACL (4) NAACL (4) AAAI (2) COLING (2)

Top co-authors

Hinrich Schütze (10) Manuel Mager (10) Ananya Ganesh (8) Abteen Ebrahimi (8) Adam Wiemerslage (7) Samuel R. Bowman (7) Arya D. McCarthy (6) Garrett Nicolai (6) Miikka Silfverberg (5) Mans Hulden (5)

Research topics

Resources & Methods (1) Linguistics (1) Education (1)

Keywords

low-resource language (17) cross-lingual transfer (11) machine translation (9) unsupervised learning (8) part-of-speech tagging (6) neural network (6) paradigm completion (6) zero-shot learning (5) morphological paradigm (5) morphological inflection (5) multi-task learning (4) indigenous language (4) word embedding (4) morphological segmentation (3) grapheme-to-phoneme conversion (3) natural language processing (3) recurrent neural network (3) morphological analysis (3) named entity recognition (3) multilingual model (3)

Papers

A Survey of Challenges and Methods in the Computational Modeling of Multi-Party Dialog ACL 2023
Findings of the AmericasNLP 2023 Shared Task on Machine Translation into Indigenous Languages ACL 2023
Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction ACL 2023
An Investigation of Noise in Morphological Inflection ACL 2023
Mind the Gap between the Application Track and the Real World ACL 2023
Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the Speakers ACL 2023
Emerging Challenges in Personalized Medicine: Assessing Demographic Effects on Biomedical Question Answering Systems IJCNLP 2023
Emerging Challenges in Personalized Medicine: Assessing Demographic Effects on Biomedical Question Answering Systems AACL 2023
Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models EACL 2023
Who Are All The Stochastic Parrots Imitating? They Should Tell Us! IJCNLP 2023
Who Are All The Stochastic Parrots Imitating? They Should Tell Us! AACL 2023
Response Construct Tagging: NLP-Aided Assessment for Engineering Education NAACL 2022
CHIA: CHoosing Instances to Annotate for Machine Translation EMNLP 2022
Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability ACL 2022
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages ACL 2022
A Major Obstacle for NLP Research: Let’s Talk about Time Allocation! EMNLP 2022
A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection EMNLP 2022
Machine Translation Between High-resource Languages in a Language Documentation Setting COLING 2022
Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next ACL 2022
Morphological Processing of Low-Resource Languages: Where We Are and What’s Next ACL 2022
BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages ACL 2022
PROST: Physical Reasoning about Objects through Space and Time IJCNLP 2021
How to Adapt Your Pretrained Multilingual Model to 1600 Languages ACL 2021
Don’t Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data ACL 2021
PROST: Physical Reasoning about Objects through Space and Time ACL 2021
What Would a Teacher Do? Predicting Future Talk Moves ACL 2021
Findings of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering ACL 2021
Paradigm Clustering with Weighted Edit Distance ACL 2021
Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings EACL 2021
CLiMP: A Benchmark for Chinese Language Model Evaluation EACL 2021
The World of an Octopus: How Reporting Bias Influences a Language Model’s Perception of Color EMNLP 2021
How to Adapt Your Pretrained Multilingual Model to 1600 Languages IJCNLP 2021
Don’t Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data IJCNLP 2021
What Would a Teacher Do? Predicting Future Talk Moves IJCNLP 2021
Findings of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering IJCNLP 2021
Paradigm Clustering with Weighted Edit Distance IJCNLP 2021
Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas NAACL 2021
The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion ACL 2020
Acrostic Poem Generation EMNLP 2020
Tackling the Low-resource Challenge for Canonical Segmentation EMNLP 2020
IGT2P: From Interlinear Glossed Texts to Paradigms EMNLP 2020
Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages AAAI 2020
Making a Point: Pointer-Generator Transformers for Disjoint Vocabularies AACL 2020
The NYU-CUBoulder Systems for SIGMORPHON 2020 Task 0 and Task 2 ACL 2020
The IMS–CUBoulder System for the SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion ACL 2020
Frustratingly Easy Multilingual Grapheme-to-Phoneme Conversion ACL 2020
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work? ACL 2020
Can Wikipedia Categories Improve Masked Language Model Pretraining? ACL 2020
Learning to Learn Morphological Inflection for Resource-Poor Languages AAAI 2020
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too AACL 2020
Unsupervised Morphological Paradigm Completion ACL 2020
Self-Training for Unsupervised Parsing with PRPN ACL 2020
Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019) ACL 2019
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings 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
Neural Unsupervised Parsing Beyond English EMNLP 2019
Transductive Auxiliary Task Self-Training for Neural Multi-Task Models EMNLP 2019
Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set IJCNLP 2019
The NYU System for the CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection CONLL 2018
The CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection CONLL 2018
Character-level Supervision for Low-resource POS Tagging ACL 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
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
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion ACL 2017
Neural Multi-Source Morphological Reinflection EACL 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