Katharina Kann

Orcid: 0000-0002-9342-9927

According to our database1, Katharina Kann authored at least 77 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Prompting as Panacea? A Case Study of In-Context Learning Performance for Qualitative Coding of Classroom Dialog.
Proceedings of the 17th International Conference on Educational Data Mining, 2024

2023
On the Automatic Generation and Simplification of Children's Stories.
CoRR, 2023

Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction.
CoRR, 2023

A Comparative Analysis of Automatic Speech Recognition Errors in Small Group Classroom Discourse.
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

Who Are All The Stochastic Parrots Imitating? They Should Tell Us!
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Emerging Challenges in Personalized Medicine: Assessing Demographic Effects on Biomedical Question Answering Systems.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Hierarchical Reinforcement Learning for Ad Hoc Teaming.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Navigating Wanderland: Highlighting Off-Task Discussions in Classrooms.
Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

An Investigation of Noise in Morphological Inflection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the Speakers.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Mind the Gap between the Application Track and the Real World.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas.
Frontiers Artif. Intell., 2022

Mind the Knowledge Gap: A Survey of Knowledge-enhanced Dialogue Systems.
CoRR, 2022

A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Major Obstacle for NLP Research: Let's Talk about Time Allocation!
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CHIA: CHoosing Instances to Annotate for Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

NLP for Indigenous Languages of the Americas: Transfer Learning Meets Translation (invited talk).
Proceedings of the ALTNLP The International Conference and workshop on Agglutanative Language Technologies as a challenge of Natural Language Processing, 2022

Morphological Processing of Low-Resource Languages: Where We Are and What's Next.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021
Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages.
CoRR, 2021

Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL).
CoRR, 2021

PROST: Physical Reasoning of Objects through Space and Time.
CoRR, 2021

AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages.
CoRR, 2021


The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CLiMP: A Benchmark for Chinese Language Model Evaluation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

What Would a Teacher Do? Predicting Future Talk Moves.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

How to Adapt Your Pretrained Multilingual Model to 1600 Languages.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

PROST: Physical Reasoning about Objects through Space and Time.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?
CoRR, 2020

Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages.
CoRR, 2020

The NYU-CUBoulder Systems for SIGMORPHON 2020 Task 0 and Task 2.
Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, 2020

Frustratingly Easy Multilingual Grapheme-to-Phoneme Conversion.
Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, 2020

The IMS-CUBoulder System for the SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion.
Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, 2020

The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion.
Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, 2020

Self-Training for Unsupervised Parsing with PRPN.
Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, 2020

Making a Point: Pointer-Generator Transformers for Disjoint Vocabularies.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop, 2020

English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

IGT2P: From Interlinear Glossed Texts to Paradigms.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Tackling the Low-resource Challenge for Canonical Segmentation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Acrostic Poem Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Unsupervised Morphological Paradigm Completion.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Weakly Supervised POS Taggers Perform Poorly on <i>Truly</i> Low-Resource Languages.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning to Learn Morphological Inflection for Resource-Poor Languages.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Grammatical Gender, Neo-Whorfianism, and Word Embeddings: A Data-Driven Approach to Linguistic Relativity.
CoRR, 2019

Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge.
CoRR, 2019

Subword-Level Language Identification for Intra-Word Code-Switching.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Neural Unsupervised Parsing Beyond English.
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

Transductive Auxiliary Task Self-Training for Neural Multi-Task Models.
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

2018
Verb Argument Structure Alternations in Word and Sentence Embeddings.
CoRR, 2018

Lost in Translation: Analysis of Information Loss During Machine Translation Between Polysynthetic and Fusional Languages.
CoRR, 2018

Evaluating Word Embeddings in Multi-label Classification Using Fine-Grained Name Typing.
Proceedings of The Third Workshop on Representation Learning for NLP, 2018

Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

The NYU System for the CoNLL-SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection.
Proceedings of the CoNLL SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection, Brussels, October 31, 2018

The CoNLL-SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection.
Proceedings of the CoNLL SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection, Brussels, October 31, 2018

Character-level Supervision for Low-resource POS Tagging.
Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP, 2018

2017
Comparative Study of CNN and RNN for Natural Language Processing.
CoRR, 2017

Unlabeled Data for Morphological Generation With Character-Based Sequence-to-Sequence Models.
Proceedings of the First Workshop on Subword and Character Level Models in NLP, 2017

Exploring Cross-Lingual Transfer of Morphological Knowledge In Sequence-to-Sequence Models.
Proceedings of the First Workshop on Subword and Character Level Models in NLP, 2017

Neural Multi-Source Morphological Reinflection.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

The LMU System for the CoNLL-SIGMORPHON 2017 Shared Task on Universal Morphological Reinflection.
Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, 2017

Training Data Augmentation for Low-Resource Morphological Inflection.
Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, 2017

One-Shot Neural Cross-Lingual Transfer for Paradigm Completion.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
MED: The LMU System for the SIGMORPHON 2016 Shared Task on Morphological Reinflection.
Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, 2016

Neural Morphological Analysis: Encoding-Decoding Canonical Segments.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Single-Model Encoder-Decoder with Explicit Morphological Representation for Reinflection.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016


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