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2020 – today
- 2024
[c62]Ananya Ganesh, Chelsea Chandler, Sidney D'Mello, Martha Palmer, Katharina Kann:
Prompting as Panacea? A Case Study of In-Context Learning Performance for Qualitative Coding of Classroom Dialog. EDM 2024- 2023
- [c61]Ananya Ganesh, Jie Cao, E. Margaret Perkoff, Rosy Southwell, Martha Palmer, Katharina Kann:
Mind the Gap between the Application Track and the Real World. ACL (2) 2023: 1833-1842 - [c60]Adam Wiemerslage, Changbing Yang, Garrett Nicolai, Miikka Silfverberg, Katharina Kann:
An Investigation of Noise in Morphological Inflection. ACL (Findings) 2023: 3351-3365 - [c59]Manuel Mager, Elisabeth Mager, Katharina Kann, Ngoc Thang Vu:
Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the Speakers. ACL (1) 2023: 4871-4897 - [c58]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:
Navigating Wanderland: Highlighting Off-Task Discussions in Classrooms. AIED 2023: 727-732 - [c57]Stéphane Aroca-Ouellette, Miguel Aroca-Ouellette, Upasana Biswas, Katharina Kann, Alessandro Roncone:
Hierarchical Reinforcement Learning for Ad Hoc Teaming. AAMAS 2023: 2337-2339 - [c56]Abteen Ebrahimi, Arya D. McCarthy, Arturo Oncevay, John E. Ortega, Luis Chiruzzo, Gustavo Giménez Lugo, Rolando Coto-Solano, Katharina Kann:
Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models. EACL 2023: 3894-3908 - [c55]Sagi Shaier, Lawrence Hunter, Katharina Kann:
Who Are All The Stochastic Parrots Imitating? They Should Tell Us! IJCNLP (2) 2023: 113-120 - [c54]Sagi Shaier, Kevin Bennett, Lawrence Hunter, Katharina Kann:
Emerging Challenges in Personalized Medicine: Assessing Demographic Effects on Biomedical Question Answering Systems. IJCNLP (1) 2023: 540-550 - [c53]Jie Cao, Ananya Ganesh, Jon Z. Cai, Rosy Southwell, E. Margaret Perkoff, Michael Regan, Katharina Kann, James H. Martin, Martha Palmer, Sidney D'Mello:
A Comparative Analysis of Automatic Speech Recognition Errors in Small Group Classroom Discourse. UMAP 2023: 250-262 - [i50]Abteen Ebrahimi, Arya D. McCarthy, Arturo Oncevay, Luis Chiruzzo, John E. Ortega, Gustavo Alberto Giménez Lugo, Rolando Coto-Solano, Katharina Kann:
Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models. CoRR abs/2302.07912 (2023) - [i49]Adam Wiemerslage, Changbing Yang, Garrett Nicolai, Miikka Silfverberg, Katharina Kann:
An Investigation of Noise in Morphological Inflection. CoRR abs/2305.16581 (2023) - [i48]Manuel Mager, Elisabeth Mager, Katharina Kann, Ngoc Thang Vu:
Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the Speakers. CoRR abs/2305.19474 (2023) - [i47]Manuel Mager, Rajat Bhatnagar, Graham Neubig, Ngoc Thang Vu, Katharina Kann:
Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction. CoRR abs/2306.06804 (2023) - [i46]Maria Valentini, Jennifer Weber, Jesus Salcido, Téa Wright, Eliana Colunga, Katharina Kann:
On the Automatic Generation and Simplification of Children's Stories. CoRR abs/2310.18502 (2023) - 2022
- [j1]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, Elisabeth Mager, Vishrav Chaudhary, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Ngoc Thang Vu:
AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas. Frontiers Artif. Intell. 5 (2022) - [c52]Manuel Mager, Arturo Oncevay, Elisabeth Mager, Katharina Kann, Ngoc Thang Vu:
BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages. ACL (Findings) 2022: 961-971 - [c51]Adam Wiemerslage, Miikka Silfverberg, Changbing Yang, Arya McCarthy, Garrett Nicolai, Eliana Colunga, Katharina Kann:
Morphological Processing of Low-Resource Languages: Where We Are and What's Next. ACL (Findings) 2022: 988-1007 - [c50]Yoshinari Fujinuma, Jordan L. Boyd-Graber, Katharina Kann:
Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability. ACL (1) 2022: 1500-1512 - [c49]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, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Ngoc Thang Vu, Katharina Kann:
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages. ACL (1) 2022: 6279-6299 - [c48]Katharina Kann, Abteen Ebrahimi, Joewie J. Koh, Shiran Dudy, Alessandro Roncone:
Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next. ConvAI@ACL 2022: 148-165 - [c47]Katharina Kann:
NLP for Indigenous Languages of the Americas: Transfer Learning Meets Translation (invited talk). ALTNLP 2022: 1 - [c46]Adam Wiemerslage, Shiran Dudy, Katharina Kann:
A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection. EMNLP 2022: 1933-1945 - [c45]Rajat Bhatnagar, Ananya Ganesh, Katharina Kann:
CHIA: CHoosing Instances to Annotate for Machine Translation. EMNLP (Findings) 2022: 7299-7315 - [c44]Katharina Kann, Shiran Dudy, Arya D. McCarthy:
A Major Obstacle for NLP Research: Let's Talk about Time Allocation! EMNLP 2022: 8959-8969 - [i45]Adam Wiemerslage, Miikka Silfverberg, Changbing Yang, Arya D. McCarthy, Garrett Nicolai, Eliana Colunga, Katharina Kann:
Morphological Processing of Low-Resource Languages: Where We Are and What's Next. CoRR abs/2203.08909 (2022) - [i44]Manuel Mager, Arturo Oncevay, Elisabeth Mager, Katharina Kann, Ngoc Thang Vu:
BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages. CoRR abs/2203.08954 (2022) - [i43]Yoshinari Fujinuma, Jordan L. Boyd-Graber, Katharina Kann:
Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability. CoRR abs/2203.10753 (2022) - [i42]Adam Wiemerslage, Shiran Dudy, Katharina Kann:
A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection. CoRR abs/2210.12321 (2022) - [i41]Katharina Kann, Shiran Dudy, Arya D. McCarthy:
A Major Obstacle for NLP Research: Let's Talk about Time Allocation! CoRR abs/2211.16858 (2022) - [i40]Sagi Shaier, Lawrence Hunter, Katharina Kann:
Mind the Knowledge Gap: A Survey of Knowledge-enhanced Dialogue Systems. CoRR abs/2212.09252 (2022) - 2021
- [c43]Rajat Bhatnagar, Ananya Ganesh, Katharina Kann:
Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data. ACL/IJCNLP (2) 2021: 1099-1106 - [c42]Abteen Ebrahimi, Katharina Kann:
How to Adapt Your Pretrained Multilingual Model to 1600 Languages. ACL/IJCNLP (1) 2021: 4555-4567 - [c41]Stephane Aroca-Ouellette, Cory Paik, Alessandro Roncone, Katharina Kann:
PROST: Physical Reasoning about Objects through Space and Time. ACL/IJCNLP (Findings) 2021: 4597-4608 - [c40]Ananya Ganesh, Martha Palmer, Katharina Kann:
What Would a Teacher Do? Predicting Future Talk Moves. ACL/IJCNLP (Findings) 2021: 4739-4751 - [c39]Katharina Kann, Mauro M. Monsalve-Mercado:
Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings. EACL 2021: 2673-2685 - [c38]Beilei Xiang, Changbing Yang, Yu Li, Alex Warstadt, Katharina Kann:
CLiMP: A Benchmark for Chinese Language Model Evaluation. EACL 2021: 2784-2790 - [c37]Cory Paik, Stéphane Aroca-Ouellette, Alessandro Roncone, Katharina Kann:
The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color. EMNLP (1) 2021: 823-835 - [c36]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, Tanel Alumäe, Jiaming Kong, Sergey Polezhaev, Yury Belousov, Wei-Rui Chen, Peter Sullivan, Ife Adebara, Bashar Talafha, Alcides Alcoba Inciarte, Muhammad Abdul-Mageed, Luis Chiruzzo, Rolando Coto-Solano, Hilaria Cruz, Sofía Flores-Solórzano, Aldo Andrés Alvarez López, Iván V. Meza-Ruíz, John E. Ortega, Alexis Palmer, Rodolfo Zevallos, Kristine Stenzel, Thang Vu, Katharina Kann:
Findings of the Second AmericasNLP Competition on Speech-to-Text Translation. NeurIPS (Competition and Demos) 2021: 217-232 - [i39]Katharina Kann, Mauro M. Monsalve-Mercado:
Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings. CoRR abs/2101.10565 (2021) - [i38]Beilei Xiang, Changbing Yang, Yu Li, Alex Warstadt, Katharina Kann:
CLiMP: A Benchmark for Chinese Language Model Evaluation. CoRR abs/2101.11131 (2021) - [i37]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, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Ngoc Thang Vu, Katharina Kann:
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages. CoRR abs/2104.08726 (2021) - [i36]Abteen Ebrahimi, Katharina Kann:
How to Adapt Your Pretrained Multilingual Model to 1600 Languages. CoRR abs/2106.02124 (2021) - [i35]Stephane Aroca-Ouellette, Cory Paik, Alessandro Roncone, Katharina Kann:
PROST: Physical Reasoning of Objects through Space and Time. CoRR abs/2106.03634 (2021) - [i34]Ananya Ganesh, Martha Palmer, Katharina Kann:
What Would a Teacher Do? Predicting Future Talk Moves. CoRR abs/2106.05249 (2021) - [i33]Rajat Bhatnagar, Ananya Ganesh, Katharina Kann:
Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data. CoRR abs/2106.06875 (2021) - [i32]Michael A. Hedderich, Benjamin Roth, Katharina Kann, Barbara Plank, Alex Ratner, Dietrich Klakow:
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL). CoRR abs/2107.03690 (2021) - [i31]Atul Kr. Ojha, Chao-Hong Liu, Katharina Kann, John E. Ortega, Sheetal Shatam, Theodorus Fransen:
Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages. CoRR abs/2108.06598 (2021) - [i30]Cory Paik, Stéphane Aroca-Ouellette, Alessandro Roncone, Katharina Kann:
The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color. CoRR abs/2110.08182 (2021) - 2020
- [c35]Katharina Kann, Samuel R. Bowman, Kyunghyun Cho:
Learning to Learn Morphological Inflection for Resource-Poor Languages. AAAI 2020: 8058-8065 - [c34]Katharina Kann, Ophélie Lacroix, Anders Søgaard:
Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages. AAAI 2020: 8066-8073 - [c33]Yada Pruksachatkun, Jason Phang, Haokun Liu, Phu Mon Htut, Xiaoyi Zhang, Richard Yuanzhe Pang, Clara Vania, Katharina Kann, Samuel R. Bowman:
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work? ACL 2020: 5231-5247 - [c32]Huiming Jin, Liwei Cai, Yihui Peng, Chen Xia, Arya McCarthy, Katharina Kann:
Unsupervised Morphological Paradigm Completion. ACL 2020: 6696-6707 - [c31]Rajat Agarwal, Katharina Kann:
Acrostic Poem Generation. EMNLP (1) 2020: 1230-1240 - [c30]Manuel Mager, Özlem Çetinoglu, Katharina Kann:
Tackling the Low-resource Challenge for Canonical Segmentation. EMNLP (1) 2020: 5237-5250 - [c29]Sarah R. Moeller, Ling Liu, Changbing Yang, Katharina Kann, Mans Hulden:
IGT2P: From Interlinear Glossed Texts to Paradigms. EMNLP (1) 2020: 5251-5262 - [c28]Nikhil Prabhu, Katharina Kann:
Making a Point: Pointer-Generator Transformers for Disjoint Vocabularies. AACL/IJCNLP (Student Research Workshop) 2020: 85-92 - [c27]Jason Phang, Iacer Calixto, Phu Mon Htut, Yada Pruksachatkun, Haokun Liu, Clara Vania, Katharina Kann, Samuel R. Bowman:
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too. AACL/IJCNLP 2020: 557-575 - [c26]Anhad Mohananey, Katharina Kann, Samuel R. Bowman:
Self-Training for Unsupervised Parsing with PRPN. IWPT 2020 2020: 105-110 - [c25]Katharina Kann, Arya D. McCarthy, Garrett Nicolai, Mans Hulden:
The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion. SIGMORPHON 2020: 51-62 - [c24]Assaf Singer, Katharina Kann:
The NYU-CUBoulder Systems for SIGMORPHON 2020 Task 0 and Task 2. SIGMORPHON 2020: 90-98 - [c23]Manuel Mager, Katharina Kann:
The IMS-CUBoulder System for the SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion. SIGMORPHON 2020: 99-105 - [c22]Nikhil Prabhu, Katharina Kann:
Frustratingly Easy Multilingual Grapheme-to-Phoneme Conversion. SIGMORPHON 2020: 123-127 - [i29]Katharina Kann, Samuel R. Bowman, Kyunghyun Cho:
Learning to Learn Morphological Inflection for Resource-Poor Languages. CoRR abs/2004.13304 (2020) - [i28]Katharina Kann, Ophélie Lacroix, Anders Søgaard:
Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages. CoRR abs/2004.13305 (2020) - [i27]Yada Pruksachatkun, Jason Phang, Haokun Liu, Phu Mon Htut, Xiaoyi Zhang, Richard Yuanzhe Pang, Clara Vania, Katharina Kann, Samuel R. Bowman:
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work? CoRR abs/2005.00628 (2020) - [i26]Huiming Jin, Liwei Cai, Yihui Peng, Chen Xia, Arya D. McCarthy, Katharina Kann:
Unsupervised Morphological Paradigm Completion. CoRR abs/2005.00970 (2020) - [i25]Manuel Mager, Katharina Kann:
The IMS-CUBoulder System for the SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion. CoRR abs/2005.12411 (2020) - [i24]Jason Phang, Phu Mon Htut, Yada Pruksachatkun, Haokun Liu, Clara Vania, Katharina Kann, Iacer Calixto, Samuel R. Bowman:
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too. CoRR abs/2005.13013 (2020) - [i23]Anhad Mohananey, Katharina Kann, Samuel R. Bowman:
Self-Training for Unsupervised Parsing with PRPN. CoRR abs/2005.13455 (2020) - [i22]Katharina Kann, Arya McCarthy, Garrett Nicolai, Mans Hulden:
The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion. CoRR abs/2005.13756 (2020) - [i21]Assaf Singer, Katharina Kann:
The NYU-CUBoulder Systems for SIGMORPHON 2020 Task 0 and Task 2. CoRR abs/2006.11830 (2020) - [i20]Rajat Agarwal, Katharina Kann:
Acrostic Poem Generation. CoRR abs/2010.02239 (2020) - [i19]Manuel Mager, Özlem Çetinoglu, Katharina Kann:
Tackling the Low-resource Challenge for Canonical Segmentation. CoRR abs/2010.02804 (2020)
2010 – 2019
- 2019
- [c21]Yadollah Yaghoobzadeh, Katharina Kann, Timothy J. Hazen, Eneko Agirre, Hinrich Schütze:
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings. ACL (1) 2019: 5740-5753 - [c20]Katharina Kann, Anhad Mohananey, Samuel R. Bowman, Kyunghyun Cho:
Neural Unsupervised Parsing Beyond English. DeepLo@EMNLP-IJCNLP 2019: 209-218 - [c19]Johannes Bjerva, Katharina Kann, Isabelle Augenstein:
Transductive Auxiliary Task Self-Training for Neural Multi-Task Models. DeepLo@EMNLP-IJCNLP 2019: 253-258 - [c18]Katharina Kann, Kyunghyun Cho, Samuel R. Bowman:
Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set. EMNLP/IJCNLP (1) 2019: 3340-3347 - [c17]Manuel Mager, Özlem Çetinoglu, Katharina Kann:
Subword-Level Language Identification for Intra-Word Code-Switching. NAACL-HLT (1) 2019: 2005-2011 - [e1]Isabelle Augenstein, Spandana Gella, Sebastian Ruder, Katharina Kann, Burcu Can, Johannes Welbl, Alexis Conneau, Xiang Ren, Marek Rei:
Proceedings of the 4th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2019, Florence, Italy, August 2, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-35-2 [contents] - [i18]Manuel Mager, Özlem Çetinoglu, Katharina Kann:
Subword-Level Language Identification for Intra-Word Code-Switching. CoRR abs/1904.01989 (2019) - [i17]Yadollah Yaghoobzadeh, Katharina Kann, Timothy J. Hazen, Eneko Agirre, Hinrich Schütze:
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings. CoRR abs/1906.03608 (2019) - [i16]Johannes Bjerva, Katharina Kann, Isabelle Augenstein:
Transductive Auxiliary Task Self-Training for Neural Multi-Task Models. CoRR abs/1908.06136 (2019) - [i15]Katharina Kann, Kyunghyun Cho, Samuel R. Bowman:
Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set. CoRR abs/1909.01522 (2019) - [i14]Katharina Kann:
Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge. CoRR abs/1910.05456 (2019) - [i13]Katharina Kann:
Grammatical Gender, Neo-Whorfianism, and Word Embeddings: A Data-Driven Approach to Linguistic Relativity. CoRR abs/1910.09729 (2019) - 2018
- [c16]Katharina Kann, Johannes Bjerva, Isabelle Augenstein, Barbara Plank, Anders Søgaard:
Character-level Supervision for Low-resource POS Tagging. DeepLo@ACL 2018: 1-11 - [c15]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, Mans Hulden:
The CoNLL-SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. CoNLL Shared Task (1) 2018: 1-27 - [c14]Katharina Kann, Stanislas Lauly, Kyunghyun Cho:
The NYU System for the CoNLL-SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection. CoNLL Shared Task (1) 2018: 58-63 - [c13]Katharina Kann, Sascha Rothe, Katja Filippova:
Sentence-Level Fluency Evaluation: References Help, But Can Be Spared! CoNLL 2018: 313-323 - [c12]Katharina Kann, Hinrich Schütze:
Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting. EMNLP 2018: 3254-3264 - [c11]Katharina Kann, Manuel Mager, Iván Vladimir Meza Ruíz, Hinrich Schütze:
Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages. NAACL-HLT 2018: 47-57 - [c10]Yadollah Yaghoobzadeh, Katharina Kann, Hinrich Schütze:
Evaluating Word Embeddings in Multi-label Classification Using Fine-Grained Name Typing. Rep4NLP@ACL 2018: 101-106 - [i12]Katharina Kann, Manuel Mager, Iván V. Meza-Ruíz, Hinrich Schütze:
Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages. CoRR abs/1804.06024 (2018) - [i11]Manuel Mager, Elisabeth Mager, Alfonso Medina Urrea, Iván Meza, Katharina Kann:
Lost in Translation: Analysis of Information Loss During Machine Translation Between Polysynthetic and Fusional Languages. CoRR abs/1807.00286 (2018) - [i10]Yadollah Yaghoobzadeh, Katharina Kann, Hinrich Schütze:
Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name Typing. CoRR abs/1807.07186 (2018) - [i9]Katharina Kann, Sascha Rothe, Katja Filippova:
Sentence-Level Fluency Evaluation: References Help, But Can Be Spared! CoRR abs/1809.08731 (2018) - [i8]Katharina Kann, Hinrich Schütze:
Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting. CoRR abs/1809.08733 (2018) - [i7]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, Mans Hulden:
The CoNLL-SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. CoRR abs/1810.07125 (2018) - [i6]Katharina Kann, Alex Warstadt, Adina Williams, Samuel R. Bowman:
Verb Argument Structure Alternations in Word and Sentence Embeddings. CoRR abs/1811.10773 (2018) - 2017
- [c9]Katharina Kann, Ryan Cotterell, Hinrich Schütze:
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion. ACL (1) 2017: 1993-2003 - [c8]Toms Bergmanis, Katharina Kann, Hinrich Schütze, Sharon Goldwater:
Training Data Augmentation for Low-Resource Morphological Inflection. CoNLL Shared Task (1) 2017: 31-39 - [c7]Katharina Kann, Hinrich Schütze:
The LMU System for the CoNLL-SIGMORPHON 2017 Shared Task on Universal Morphological Reinflection. CoNLL Shared Task (1) 2017: 40-48 - [c6]Katharina Kann, Ryan Cotterell, Hinrich Schütze:
Neural Multi-Source Morphological Reinflection. EACL (1) 2017: 514-524 - [c5]Huiming Jin, Katharina Kann:
Exploring Cross-Lingual Transfer of Morphological Knowledge In Sequence-to-Sequence Models. SWCN@EMNLP 2017: 70-75 - [c4]Katharina Kann, Hinrich Schütze:
Unlabeled Data for Morphological Generation With Character-Based Sequence-to-Sequence Models. SWCN@EMNLP 2017: 76-81 - [i5]Wenpeng Yin, Katharina Kann, Mo Yu, Hinrich Schütze:
Comparative Study of CNN and RNN for Natural Language Processing. CoRR abs/1702.01923 (2017) - [i4]Katharina Kann, Ryan Cotterell, Hinrich Schütze:
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion. CoRR abs/1704.00052 (2017) - [i3]Katharina Kann, Hinrich Schütze:
Unlabeled Data for Morphological Generation With Character-Based Sequence-to-Sequence Models. CoRR abs/1705.06106 (2017) - 2016
- [c3]Katharina Kann, Hinrich Schütze:
Single-Model Encoder-Decoder with Explicit Morphological Representation for Reinflection. ACL (2) 2016 - [c2]Katharina Kann, Ryan Cotterell, Hinrich Schütze:
Neural Morphological Analysis: Encoding-Decoding Canonical Segments. EMNLP 2016: 961-967 - [c1]Katharina Kann, Hinrich Schütze:
MED: The LMU System for the SIGMORPHON 2016 Shared Task on Morphological Reinflection. SIGMORPHON 2016: 62-70 - [i2]Katharina Kann, Hinrich Schütze:
Single-Model Encoder-Decoder with Explicit Morphological Representation for Reinflection. CoRR abs/1606.00589 (2016) - [i1]Katharina Kann, Ryan Cotterell, Hinrich Schütze:
Neural Multi-Source Morphological Reinflection. CoRR abs/1612.06027 (2016)
Coauthor Index
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last updated on 2024-10-31 20:11 CET by the dblp team
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