Single-Model Encoder-Decoder with Explicit Morphological Representation for Reinflection. - Katharina Kann; Hinrich Schütze (ACL (2), 2016)

Neural Morphological Analysis: Encoding-Decoding Canonical Segments. - Katharina Kann; Ryan Cotterell; Hinrich Schütze (EMNLP, 2016)

MED: The LMU System for the SIGMORPHON 2016 Shared Task on Morphological Reinflection. - Katharina Kann; Hinrich Schütze (SIGMORPHON, 2016)

One-Shot Neural Cross-Lingual Transfer for Paradigm Completion. - Katharina Kann; Ryan Cotterell; Hinrich Schütze (ACL (1), 2017)

Training Data Augmentation for Low-Resource Morphological Inflection. - Toms Bergmanis; Katharina Kann; Hinrich Schütze; Sharon Goldwater (CoNLL Shared Task (1), 2017)

The LMU System for the CoNLL-SIGMORPHON 2017 Shared Task on Universal Morphological Reinflection. - Katharina Kann; Hinrich Schütze (CoNLL Shared Task (1), 2017)

Neural Multi-Source Morphological Reinflection. - Katharina Kann; Ryan Cotterell; Hinrich Schütze (EACL (1), 2017)

Exploring Cross-Lingual Transfer of Morphological Knowledge In Sequence-to-Sequence Models. - Huiming Jin; Katharina Kann (SWCN@EMNLP, 2017)

Unlabeled Data for Morphological Generation With Character-Based Sequence-to-Sequence Models. - Katharina Kann; Hinrich Schütze (SWCN@EMNLP, 2017)

Comparative Study of CNN and RNN for Natural Language Processing. - Wenpeng Yin 001; Katharina Kann; Mo Yu; Hinrich Schütze (CoRR, 2017)

Character-level Supervision for Low-resource POS Tagging. - Katharina Kann; Johannes Bjerva; Isabelle Augenstein; Barbara Plank; Anders Søgaard (DeepLo@ACL, 2018)

The CoNLL-SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. - Ryan Cotterell; Christo Kirov; John Sylak-Glassman; Géraldine Walther; Ekaterina Vylomova; Arya D. McCarthy; Katharina Kann; S. J. Mielke; Garrett Nicolai; Miikka Silfverberg; David Yarowsky; Jason Eisner; et al. (CoNLL Shared Task (1), 2018)

The NYU System for the CoNLL-SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection. - Katharina Kann; Stanislas Lauly; Kyunghyun Cho (CoNLL Shared Task (1), 2018)

Sentence-Level Fluency Evaluation: References Help, But Can Be Spared! - Katharina Kann; Sascha Rothe; Katja Filippova (CoNLL, 2018)

Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting. - Katharina Kann; Hinrich Schütze (EMNLP, 2018)

Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages. - Katharina Kann; Manuel Mager; Iván Vladimir Meza Ruíz; Hinrich Schütze (NAACL-HLT, 2018)

Evaluating Word Embeddings in Multi-label Classification Using Fine-Grained Name Typing. - Yadollah Yaghoobzadeh; Katharina Kann; Hinrich Schütze (Rep4NLP@ACL, 2018)

Lost in Translation: Analysis of Information Loss During Machine Translation Between Polysynthetic and Fusional Languages. - Manuel Mager; Elisabeth Mager; Alfonso Medina Urrea; Iván Meza; Katharina Kann (CoRR, 2018)

Verb Argument Structure Alternations in Word and Sentence Embeddings. - Katharina Kann; Alex Warstadt; Adina Williams; Samuel R. Bowman (CoRR, 2018)

Transductive Auxiliary Task Self-Training for Neural Multi-Task Models. - Johannes Bjerva; Katharina Kann; Isabelle Augenstein (DeepLo@EMNLP-IJCNLP, 2019)

Neural Unsupervised Parsing Beyond English. - Katharina Kann; Anhad Mohananey; Samuel R. Bowman; Kyunghyun Cho (DeepLo@EMNLP-IJCNLP, 2019)

Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings. - Yadollah Yaghoobzadeh; Katharina Kann; Timothy J. Hazen; Eneko Agirre; Hinrich Schütze (ACL (1), 2019)

Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set. - Katharina Kann; Kyunghyun Cho; Samuel R. Bowman (EMNLP/IJCNLP (1), 2019)

Subword-Level Language Identification for Intra-Word Code-Switching. - Manuel Mager; Özlem Çetinoglu; Katharina Kann (NAACL-HLT (1), 2019)

Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge. - Katharina Kann (CoRR, 2019)

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

Learning to Learn Morphological Inflection for Resource-Poor Languages. - Katharina Kann; Samuel R. Bowman; Kyunghyun Cho (AAAI, 2020)

Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages. - Katharina Kann; Ophélie Lacroix; Anders Søgaard (AAAI, 2020)

Unsupervised Morphological Paradigm Completion. - Huiming Jin; Liwei Cai; Yihui Peng; Chen Xia; Arya McCarthy; Katharina Kann (ACL, 2020)

Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work? - Yada Pruksachatkun; Jason Phang; Haokun Liu; Phu Mon Htut; Xiaoyi Zhang; Richard Yuanzhe Pang; Clara Vania; Katharina Kann; Samuel R. Bowman (ACL, 2020)

Acrostic Poem Generation. - Rajat Agarwal; Katharina Kann (EMNLP (1), 2020)

Tackling the Low-resource Challenge for Canonical Segmentation. - Manuel Mager; Özlem Çetinoglu; Katharina Kann (EMNLP (1), 2020)

IGT2P: From Interlinear Glossed Texts to Paradigms. - Sarah R. Moeller; Ling Liu; Changbing Yang; Katharina Kann; Mans Hulden (EMNLP (1), 2020)

English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too. - Jason Phang; Iacer Calixto; Phu Mon Htut; Yada Pruksachatkun; Haokun Liu; Clara Vania; Katharina Kann; Samuel R. Bowman (AACL/IJCNLP, 2020)

Making a Point: Pointer-Generator Transformers for Disjoint Vocabularies. - Nikhil Prabhu; Katharina Kann (AACL/IJCNLP (Student Research Workshop), 2020)

Self-Training for Unsupervised Parsing with PRPN. - Anhad Mohananey; Katharina Kann; Samuel R. Bowman (IWPT 2020, 2020)

The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion. - Katharina Kann; Arya D. McCarthy; Garrett Nicolai; Mans Hulden (SIGMORPHON, 2020)

The IMS-CUBoulder System for the SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion. - Manuel Mager; Katharina Kann (SIGMORPHON, 2020)

Frustratingly Easy Multilingual Grapheme-to-Phoneme Conversion. - Nikhil Prabhu; Katharina Kann (SIGMORPHON, 2020)

The NYU-CUBoulder Systems for SIGMORPHON 2020 Task 0 and Task 2. - Assaf Singer; Katharina Kann (SIGMORPHON, 2020)

Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages. - Katharina Kann; Ophélie Lacroix; Anders Søgaard (CoRR, 2020)

Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work? - Yada Pruksachatkun; Jason Phang; Haokun Liu; Phu Mon Htut; Xiaoyi Zhang; Richard Yuanzhe Pang; Clara Vania; Katharina Kann; Samuel R. Bowman (CoRR, 2020)

PROST: Physical Reasoning about Objects through Space and Time. - Stephane Aroca-Ouellette; Cory Paik; Alessandro Roncone; Katharina Kann (ACL/IJCNLP (Findings), 2021)

Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data. - Rajat Bhatnagar; Ananya Ganesh; Katharina Kann (ACL/IJCNLP (2), 2021)

How to Adapt Your Pretrained Multilingual Model to 1600 Languages. - Abteen Ebrahimi; Katharina Kann (ACL/IJCNLP (1), 2021)

What Would a Teacher Do? Predicting Future Talk Moves. - Ananya Ganesh; Martha Palmer; Katharina Kann (ACL/IJCNLP (Findings), 2021)

Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings. - Katharina Kann; Mauro M. Monsalve-Mercado (EACL, 2021)

CLiMP: A Benchmark for Chinese Language Model Evaluation. - Beilei Xiang; Changbing Yang; Yu Li; Alex Warstadt; Katharina Kann (EACL, 2021)

The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color. - Cory Paik; Stéphane Aroca-Ouellette; Alessandro Roncone; Katharina Kann (EMNLP (1), 2021)

Findings of the Second AmericasNLP Competition on Speech-to-Text Translation. - Abteen Ebrahimi; Manuel Mager; Adam Wiemerslage; Pavel Denisov; Arturo Oncevay; Danni Liu; Sai Koneru; Enes Yavuz Ugan; Zhaolin Li; Jan Niehues; Monica Romero; Iván G. Torre; et al. (NeurIPS (Competition and Demos), 2021)

AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages. - Abteen Ebrahimi; Manuel Mager; Arturo Oncevay; Vishrav Chaudhary; Luis Chiruzzo; Angela Fan; John E. Ortega; Ricardo Ramos; Annette Rios; Ivan Vladimir; Gustavo Alberto Giménez Lugo; Elisabeth Mager; et al. (CoRR, 2021)

PROST: Physical Reasoning of Objects through Space and Time. - Stephane Aroca-Ouellette; Cory Paik; Alessandro Roncone; Katharina Kann (CoRR, 2021)

Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL). - Michael A. Hedderich; Benjamin Roth 001; Katharina Kann; Barbara Plank; Alex Ratner; Dietrich Klakow (CoRR, 2021)

Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages. - Atul Kr. Ojha; Chao-Hong Liu; Katharina Kann; John E. Ortega; Sheetal Shatam; Theodorus Fransen (CoRR, 2021)

Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next. - Katharina Kann; Abteen Ebrahimi; Joewie J. Koh; Shiran Dudy; Alessandro Roncone (ConvAI@ACL, 2022)

AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages. - Abteen Ebrahimi; Manuel Mager; Arturo Oncevay; Vishrav Chaudhary; Luis Chiruzzo; Angela Fan; John E. Ortega; Ricardo Ramos; Annette Rios; Iván Vladimir Meza Ruíz; Gustavo Giménez Lugo; Elisabeth Mager; et al. (ACL (1), 2022)

Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability. - Yoshinari Fujinuma; Jordan L. Boyd-Graber; Katharina Kann (ACL (1), 2022)

BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages. - Manuel Mager; Arturo Oncevay; Elisabeth Mager; Katharina Kann; Ngoc Thang Vu (ACL (Findings), 2022)

Morphological Processing of Low-Resource Languages: Where We Are and What's Next. - Adam Wiemerslage; Miikka Silfverberg; Changbing Yang; Arya McCarthy; Garrett Nicolai; Eliana Colunga; Katharina Kann (ACL (Findings), 2022)

NLP for Indigenous Languages of the Americas: Transfer Learning Meets Translation (invited talk). - Katharina Kann (ALTNLP, 2022)

CHIA: CHoosing Instances to Annotate for Machine Translation. - Rajat Bhatnagar; Ananya Ganesh; Katharina Kann (EMNLP (Findings), 2022)

A Major Obstacle for NLP Research: Let's Talk about Time Allocation! - Katharina Kann; Shiran Dudy; Arya D. McCarthy (EMNLP, 2022)

A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection. - Adam Wiemerslage; Shiran Dudy; Katharina Kann (EMNLP, 2022)

Mind the Knowledge Gap: A Survey of Knowledge-enhanced Dialogue Systems. - Sagi Shaier; Lawrence Hunter; Katharina Kann (CoRR, 2022)

AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas. - Katharina Kann; Abteen Ebrahimi; Manuel Mager; Arturo Oncevay; John E. Ortega; Annette Rios; Angela Fan; Ximena Gutierrez-Vasques; Luis Chiruzzo; Gustavo Alberto Giménez Lugo; Ricardo Ramos; Iván Vladimir Meza Ruíz; et al. (Frontiers Artif. Intell., 2022)

Mind the Gap between the Application Track and the Real World. - Ananya Ganesh; Jie Cao 010; E. Margaret Perkoff; Rosy Southwell; Martha Palmer; Katharina Kann (ACL (2), 2023)

Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the Speakers. - Manuel Mager; Elisabeth Mager; Katharina Kann; Ngoc Thang Vu (ACL (1), 2023)

An Investigation of Noise in Morphological Inflection. - Adam Wiemerslage; Changbing Yang; Garrett Nicolai; Miikka Silfverberg; Katharina Kann (ACL (Findings), 2023)

Navigating Wanderland: Highlighting Off-Task Discussions in Classrooms. - Ananya Ganesh; Michael Alan Chang; Rachel Dickler; Michael Regan; Jon Z. Cai; Kristin Wright-Bettner; James Pustejovsky; James H. Martin; Jeffrey Flanigan; Martha Palmer; Katharina Kann (AIED, 2023)

Hierarchical Reinforcement Learning for Ad Hoc Teaming. - Stéphane Aroca-Ouellette; Miguel Aroca-Ouellette; Upasana Biswas; Katharina Kann; Alessandro Roncone (AAMAS, 2023)

Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models. - Abteen Ebrahimi; Arya D. McCarthy; Arturo Oncevay; John E. Ortega; Luis Chiruzzo; Gustavo Giménez Lugo; Rolando Coto-Solano; Katharina Kann (EACL, 2023)

Emerging Challenges in Personalized Medicine: Assessing Demographic Effects on Biomedical Question Answering Systems. - Sagi Shaier; Kevin Bennett; Lawrence Hunter; Katharina Kann (IJCNLP (1), 2023)

Who Are All The Stochastic Parrots Imitating? They Should Tell Us! - Sagi Shaier; Lawrence Hunter; Katharina Kann (IJCNLP (2), 2023)

A Comparative Analysis of Automatic Speech Recognition Errors in Small Group Classroom Discourse. - Jie Cao 010; Ananya Ganesh; Jon Z. Cai; Rosy Southwell; E. Margaret Perkoff; Michael Regan; Katharina Kann; James H. Martin; Martha Palmer; Sidney D'Mello (UMAP, 2023)

Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction. - Manuel Mager; Rajat Bhatnagar; Graham Neubig; Ngoc Thang Vu; Katharina Kann (CoRR, 2023)

On the Automatic Generation and Simplification of Children's Stories. - Maria R. Valentini; Jennifer Weber; Jesus Salcido; Téa Wright; Eliana Colunga; Katharina Kann (CoRR, 2023)

Prompting as Panacea? A Case Study of In-Context Learning Performance for Qualitative Coding of Classroom Dialog. - Ananya Ganesh; Chelsea Chandler; Sidney D'Mello; Martha Palmer; Katharina Kann (EDM, 2024)