![[höher]](/style/images/multi_up.png)
Eine Ebene höher- EU-Projekte (714)
- Horizon 2020 (624)
- ERC Grants (482)
- ERC Advanced Grant (197)
- ERC Grant 740516: NonSequeToR - Non-sequence models for tokenization replacement (77)
- ERC Advanced Grant (197)
- ERC Grants (482)
- Horizon 2020 (624)
Anzahl der Publikationen auf dieser Ebene: 77
A
Adel, Heike und Schütze, Hinrich
(September 2019):
Type-aware Convolutional Neural Networks for Slot Filling.
In: Journal of Artificial Intelligence Research, Bd. 66: S. 297-339
[PDF, 496kB]
B
Blaschke, Verena; Schütze, Hinrich und Plank, Barbara
(Mai 2023):
A Survey of Corpora for Germanic Low-Resource Languages and Dialects.
24th Nordic Conference on Computational Linguistics (NoDaLiDa 2023), Tórshavn, Faroe Islands, May 22-24, 2023.
Alumäe, Tanel und Fishel, Mark (Hrsg.):
In: Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa),
S. 392-414
[PDF, 462kB]
Blaschke, Verena; Schütze, Hinrich und Plank, Barbara
(Mai 2023):
Does Manipulating Tokenization Aid Cross-Lingual Transfer? A Study on POS Tagging for Non-Standardized Languages.
Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023), Dubrovnik, Croatia, May 2023.
Scherrer, Yves; Jauhiainen, Tommi; Ljubešić, Nikola; Nakov, Preslav; Tiedemann, Jörg und Zampieri, Marcos (Hrsg.):
In: Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023),
Association for Computational Linguistics. S. 40-54
[PDF, 285kB]
C
Cornolti, Marco; Ferragina, Paolo; Ciaramita, Massimiliano; Rüd, Stefan und Schütze, Hinrich
(Dezember 2018):
SMAPH: A Piggyback Approach for Entity-Linking in Web Queries.
In: ACM Transactions on Information Systems, Bd. 37, Nr. 1, 13
[PDF, 1MB]
D
Dufter, Philipp; Schmitt, Martin und Schütze, Hinrich
(September 2022):
Position Information in Transformers: An Overview.
In: Computational Linguistics, Bd. 48, Nr. 3: S. 733-763
[PDF, 1MB]
Dufter, Philipp; Kassner, Nora und Schütze, Hinrich
(Juni 2021):
Static Embeddings as Efficient Knowledge Bases?
2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Online, June 6-11, 2021.
Toutanova, Kristina (Hrsg.):
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies,
Stroudsburg, PA: Association for Computational Linguistics. S. 2353-2363
[PDF, 340kB]
Dufter, Philipp; Schmitt, Martin und Schütze, Hinrich
(Dezember 2020):
Increasing Learning Efficiency of Self-Attention Networks through Direct Position Interactions, Learnable Temperature, and Convoluted Attention.
The 28th International Conference on Computational Linguistics, Online, 8. - 13. Dezember 2020.
[PDF, 395kB]
Dufter, Philipp und Schütze, Hinrich
(November 2018):
A Stronger Baseline for Multilingual Word Embeddings.
[PDF, 173kB]
Dufter, Philipp und Schütze, Hinrich
(3. November 2019):
Analytical Methods for Interpretable Ultradense Word Embeddings.
, November 3–7, 2019, Hong Kong, China
[PDF, 423kB]
Dufter, Philipp und Schütze, Hinrich
(November 2020):
Identifying Elements Essential for BERT’s Multilinguality.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Online, 16th – 20th November 2020.
[PDF, 863kB]
Dufter, Philipp und Schütze, Hinrich
(1. Mai 2020):
Identifying Necessary Elements for BERT’s Multilinguality.
[PDF, 631kB]
Dufter, Philipp; Zhao, Mengjie; Schmitt, Martin; Fraser, Alexander und Schütze, Hinrich
(Juli 2018):
Embedding Learning Through Multilingual Concept Induction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Melbourne, Australia, July 15-20, 2018.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics
Bd. 1
Association for Computational Linguistics. S. 1520-1530
[PDF, 453kB]
H
Hofmann, Valentin; Dong, Xiaowen; Pierrehumbert, Janet und Schütze, Hinrich
(Juli 2022):
Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity.
NAACL 2022, Seattle, United States, July 2022.
Carpuat, Marine; de Marneffe, Marie-Catherine und Meza Ruiz, Ivan Vladimir (Hrsg.):
In: Findings of the Association for Computational Linguistics: NAACL 2022,
Stroudsburg, PA: Association for Computational Linguistics. S. 536-550
[PDF, 3MB]
Hofmann, Valentin; Pierrehumbert, Janet und Schütze, Hinrich
(Juli 2022):
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology.
39 th International Conference on Machine Learning, Baltimore, Maryland, USA, July 2022.
Chaudhuri, Kamalika; Jegelka, Stefanie; Song, Le; Szepesvari, Csaba; Niu, Gang und Sabato, Sivan (Hrsg.):
In: Proceedings of the 39 th International Conference on Machine Learning, Baltimore, Maryland, USA, PMLR 162, 202,
Bd. 162
S. 8796-8810
[PDF, 32MB]
Hofmann, Valentin; Schütze, Hinrich und Pierrehumbert, Janet
(Juni 2022):
The Reddit Politosphere: A Large-Scale Text and NetworkResource of Online Political Discourse.
ICWSM 2022, Atlanta, Georgia, USA and online, June 6–9, 2022.
Proceedings of the International AAAI Conference on Web and Social Media.
Bd. 16
S. 1259-1267
[PDF, 6MB]
Hofmann, Valentin; Pierrehumbert, Janet und Schütze, Hinrich
(November 2020):
DagoBERT: Generating Derivational Morphology with a Pretrained Language Model.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Online, 16. – 20. November 2020.
[PDF, 2MB]
Hofmann, Valentin; Pierrehumbert, Janet und Schütze, Hinrich
(6. Juli 2020):
Predicting the Growth of Morphological Families from Social and Linguistic Factors.
, July 6 – 8, 2020, Seattle, USA
[PDF, 2MB]
Hofmann, Valentin; Pierrehumbert, Janet B. und Schütze, Hinrich
(August 2021):
Superbizarre Is Not Superb: Derivational Morphology Improves BERT’s Interpretation of Complex Words.
59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Online, August 2021.
Zong, Chengqing; Xia, Fei; Li, Wenjie und Navigli, Roberto (Hrsg.):
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers),
S. 3594-3608
[PDF, 1MB]
Hofmann, Valentin; Pierrehumbert, Janet B. und Schütze, Hinrich
(August 2021):
Dynamic Contextualized Word Embeddings.
59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Online, August 2021.
Zong, Chengqing; Xia, Fei; Li, Wenjie und Navigli, Roberto (Hrsg.):
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers),
Association for Computational Linguistics. S. 6970-6984
[PDF, 4MB]
Hofmann, Valentin; Schütze, Hinrich und Pierrehumbert, Janet
(6. Juli 2020):
A Graph Auto-encoder Model of Derivational Morphology.
, July 6 – 8, 2020, Seattle, USA
[PDF, 1MB]
Hofmann, Valentin; Schütze, Hinrich und Pierrehumbert, Janet B.
(Mai 2022):
An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers.
60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland, May 22-27, 2022.
Muresan, Smarandakov; Nakov, Preslav und Villavicencio, Aline (Hrsg.):
In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers),
Stroudsburg, PA: Association for Computational Linguistics. S. 385-393
[PDF, 480kB]
I
Imani, Ayyoob; Lin, Peiqin; Kargaran, Amir Hossein; Severini, Silvia; Sabet, Masoud Jalili; Kassner, Nora; Ma, Chunlan; Schmid, Helmut; Martins, André; Yvon, François und Schütze, Hinrich
(Juli 2023):
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages.
ACL 2023, Toronto, Canada, July 2023.
Rogers, Anna; Boyd-Graber, Jordan und Okazaki, Naoaki (Hrsg.):
In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers),
Stroudsburg, PA: Association for Computational Linguistics (ACL). S. 1082-1117
[PDF, 624kB]
Imani, Ayyoob; Severini, Silvia; Sabet, Masoud Jalili; Yvon, François und Schütze, Hinrich
(Dezember 2022):
Graph-Based Multilingual Label Propagation for Low-Resource Part-of-Speech Tagging.
EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022.
In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing,
S. 157-1589
[PDF, 425kB]
Imani, Ayyoob; Sabet, Masoud Jalili; Senel, Lütfi Kerem; Dufter, Philipp; Yvon, François und Schütze, Hinrich
(November 2021):
Graph Algorithms for Multiparallel Word Alignment.
2021 Conference on Empirical Methods in Natural Language Processing, Online and Punta Cana, Dominican Republic, November 7-11, 2021.
Moens, Marie-Francine; Huang, Xuanjing; Specia, Lucia und Yih, Scott Wen-tau (Hrsg.):
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing,
Stroudsburg, PA: Association for Computational Linguistics. S. 8457-8469
[PDF, 618kB]
Imani, Ayyoob; Senel, Lütfi Kerem; Sabet, Masoud Jalili; Yvon, François und Schütze, Hinrich
(Mai 2022):
Graph Neural Networks for Multiparallel Word Alignment.
ACL 2022, Dublin, Ireland, May 2022.
Muresan, Smaranda; Nakov, Preslav und Villavicencio, Aline (Hrsg.):
In: Findings of the Association for Computational Linguistics: ACL 2022,
Stroudsburg, PA: Association for Computational Linguistics.
1384 -1396
[PDF, 749kB]
K
Kann, Katharina und Schütze, Hinrich
(Oktober 2018):
Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting.
2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, 31. October - 04. November 2018.
Riloff, Ellen; Chiang, David; Hockenmaier, Julia und Tsujii, Jun’ichi (Hrsg.):
In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing,
Stroudsburg, PA: Association for Computational Linguistics (ACL). S. 3060-3066
[PDF, 879kB]
Kassner, Nora; Dufter, Philipp und Schütze, Hinrich
(April 2021):
Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models.
16th Conference of the European Chapter of the Association for Computational Linguistics, Online, April 2021.
Merlo, Paola; Tiedemann, Jörg und Tsarfaty, Reut (Hrsg.):
In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume,
Stroudsburg, PA: Association for Computational Linguistics. S. 3250-3258
[PDF, 2MB]
Kassner, Nora und Schütze, Hinrich
(6. Juli 2020):
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly.
The 58th Annual Meeting of the Association for Computational Linguistic, Seattle, USA, July 6 – 8, 2020.
Stroudsburg, USA: Association for Computational Linguistics.
[PDF, 251kB]
Kassner, Nora; Tafjord, Oyvind; Schütze, Hinrich und Clark, Peter
(November 2021):
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief.
2021 Conference on Empirical Methods in Natural Language Processing, Online and Punta Cana, Dominican Republic, November 7-11, 2021.
Moens, Marie-Francine; Huang, Xuanjing; Specia, Lucia und Yih, Scott Wen-tau (Hrsg.):
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing,
Stroudsburg, PA: Association for Computational Linguistics. S. 8849-8861
[PDF, 466kB]
Kemos, Apostolos; Adel, Heike und Schütze, Hinrich
(Juni 2019):
Neural Semi-Markov Conditional Random Fields for
Robust Character-Based Part-of-Speech Tagging.
, Minneapolis, USA, 2. - 7. June 2019.
[PDF, 369kB]
L
Li, Junze; Zhao, Mengjie; Xie, Yubo; Maronikolakis, Antonis; Pu, Pearl und Schütze, Hinrich
(2023):
This joke is [MASK]: Recognizing Humor and Offense with Prompting.
1st Transfer Learning for Natural Language Processing Workshop, New Orleans, Louisiana, USA, 03 December 2022.
Proceedings of Machine Learning Research.
Bd. 203
S. 1-9
[PDF, 610kB]
Liang, Sheng; Dufter, Philipp und Schütze, Hinrich
(Dezember 2020):
Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations.
The 28th International Conference on Computational Linguistics, Online, 8. - 13. Dezember 2020.
[PDF, 850kB]
Liang, Sheng; Zhao, Mengjie und Schütze, Hinrich
(Mai 2022):
Modular and Parameter-Efficient Multimodal Fusion with Prompting.
ACL 2022, Dublin, Ireland, May 2022.
Muresan, Smaranda; N, Preslav und Villavicencio, Aline (Hrsg.):
In: Findings of the Association for Computational Linguistics: ACL 2022,
Stroudsburg, PA: Association for Computational Linguistics.
2976 -2985
[PDF, 858kB]
Liu, Yihong; Chronopoulou, Alexandra; Schütze, Hinrich und Fraser, Alexander
(Juli 2023):
On the Copying Problem of Unsupervised NMT:
A Training Schedule with a Language Discriminator Loss.
20th International Conference on Spoken Language Translation (IWSLT 2023), Toronto, Canada, July 13 - 14, 2023.
Salesky, Elizabeth; Federico, Marcello und Carpuat, Marine (Hrsg.):
In: Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023),
Stroudsburg, PA: Association for Computational Linguistics (ACL). S. 491-502
[PDF, 704kB]
Liu, Yihong; Ye, Haotian; Weissweiler, Leonie; Wicke, Philipp; Pei, Renhao; Zangenfeind, Robert und Schütze, Hinrich
(Juli 2023):
A Crosslingual Investigation of Conceptualization in 1335 Languages.
61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, July 2023.
Rogers, Anna; Boyd-Graber, Jordan und Okazaki, Naoaki (Hrsg.):
In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers),
S. 12969-13000
[PDF, 6MB]
Liu, Yongkang; Feng, Shi; Wang, Daling; Zhang, Yifei und Schütze, Hinrich
(Juli 2023):
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism.
61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, July 2023.
Rogers, Anna; Boyd-Graber, Jordan und Okazaki, Naoaki (Hrsg.):
In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers),
Stroudsburg, PA: Association for Computational Linguistics (ACL). S. 3295-3310
[PDF, 885kB]
Liu, Yihong; Jabbar, Haris und Schütze, Hinrich
(Mai 2022):
Flow-Adapter Architecture for Unsupervised Machine Translation.
60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland, May 2022.
Muresan, Smaranda; Nakov, Preslav und Villavicencio, Aline (Hrsg.):
In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers),
Stroudsburg, PA: Association for Computational Linguistics. S. 1253-1266
[PDF, 618kB]
M
Maronikolakis, Antonis; Dufter, Philipp und Schütze, Hinrich
(November 2021):
Wine is Not v i n. On the Compatibility of Tokenizations Across Languages.
EMNLP 2021, Punta Cana, Dominican Republic, November 7–11, 2021.
Moens, Marie-Francine; Huang, Xuanjing; Specia, Lucia und Yih, Scott Wen-tau (Hrsg.):
In: Findings of the Association for Computational Linguistics: EMNLP 2021,
Stroudsburg, PA: Association for Computational Linguistics. S. 2382-2399
[PDF, 3MB]
Marz, Luisa; Schweter, Stefan; Poerner, Nina; Roth, Benjamin und Schütze, Hinrich
(2. September 2021):
Data Centric Domain Adaptation for Historical
Text with OCR Errors.
International Conference on Document Analysis and Recognition, Lausanne, Switzerland, September 2021.
Lladós, J.; Lopresti, D. und Uchida, S. (Hrsg.):
In: Document Analysis and Recognition – ICDAR 2021. 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part II,
Cham: Springer. S. 748-761
[PDF, 364kB]
McClelland, James; Hill, Felix; Rudolph, Maja; Baldridge, Jason und Schütze, Hinrich
(12. Dezember 2019):
Extending Machine Language Models toward Human-Level Language Understanding.
[PDF, 897kB]
McClelland, James; Hill, Felix; Rudolph, Maja; Baldridge, Jason und Schütze, Hinrich
(28. September 2020):
Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models.
In: Proceedings of the National Academy of Sciences, Nr. 42: S. 25966-25974
[PDF, 818kB]
N
Nie, Ercong; Liang, Sheng; Schmid, Helmut und Schütze, Hinrich
(Juli 2023):
Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages.
61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, July 2023.
In: Findings of the Association for Computational Linguistics: ACL 2023,
Stroudsburg, PA: Association for Computational Linguistics. S. 8320-8340
[PDF, 1MB]
P
Poerner, Nina; Roth, Benjamin und Schütze, Hinrich
(Juli 2018):
Evaluating neural network explanation methods using
hybrid documents and morphosyntactic agreement.
The 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, 15. - 20. July 2018.
Gurevych, Iryna und Miyao, Yusuke (Hrsg.):
In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers),
Stroudsburg, PA: Association for Computational Linguistics (ACL). S. 340-350
[PDF, 669kB]
Poerner, Nina; Sabet, Masoud Jalili; Roth, Benjamin und Schütze, Hinrich
(Oktober 2018):
Aligning Very Small Parallel Corpora Using Cross-Lingual Word Embeddings and a Monogamy Objective.
[PDF, 409kB]
Poerner, Nina; Waltinger, Ulli und Schütze, Hinrich
(6. Juli 2020):
Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity.
, July 6 – 8, 2020, Seattle, USA
[PDF, 386kB]
S
Sabet, Masoud Jalili; Dufter, Philipp und Schütze, Hinrich
(27. April 2020):
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings.
In: Findings of ACL: EMNLP 2020
[PDF, 1MB]
Schick, Timo und Schütze, Hinrich
(2022):
True Few-Shot Learning with Prompts—A Real-World Perspective.
In: Transactions of the Association for Computational Linguistics, Bd. 10: S. 716-731
[PDF, 547kB]
Schick, Timo; Schmid, Helmut und Schütze, Hinrich
(Dezember 2020):
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification.
The 28th International Conference on Computational Linguistics, Online, 8. - 11. Dezember 2020.
[PDF, 275kB]
Schick, Timo und Schütze, Hinrich
(Juni 2019):
Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts.
2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, 2. - 7. June 2019.
Association for Computational Linguistics.
[PDF, 304kB]
Schick, Timo und Schütze, Hinrich
(6. Juli 2020):
BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance.
The 58th Annual Meeting of the Association for Computational Linguistics, Seattle, USA, July 6 – 8, 2020.
[PDF, 399kB]
Schick, Timo und Schütze, Hinrich
(Januar 2019):
Learning Semantic Representations for Novel Words:
Leveraging Both Form and Context.
Thirty-Third AAAI Conference on Artificial Intelligence; AAAI-2019, Honolulu, Hawaii, USA, 27. January – 01. February 2019.
[PDF, 165kB]
Schick, Timo und Schütze, Hinrich
(April 2019):
Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking.
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, USA, February 7-12, 2020.
[PDF, 372kB]
Schick, Timo und Schütze, Hinrich
(April 2021):
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference.
16th Conference of the European Chapter of the Association for Computational Linguistics, Online, April 19-23, 2021.
Merlo, Paola; Tiedemann, Jörg und Tsarfaty, Reut (Hrsg.):
In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume,
Stroudsburg, PA: Association for Computational Linguistics. S. 255-269
[PDF, 493kB]
Schick, Timo und Schütze, Hinrich
(November 2021):
Few-Shot Text Generation with Natural Language Instructions.
2021 Conference on Empirical Methods in Natural Language Processing, Online and Punta Cana, Dominican Republic, November 7–11, 2021.
Moens, Marie-Francine; Huang, Xuanjing; Specia, Lucia und Yih, Scott Wen-tau (Hrsg.):
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing,
Stroudsburg, PA: Association for Computational Linguistics. S. 390-402
[PDF, 504kB]
Schick, Timo und Schütze, Hinrich
(November 2021):
Generating Datasets with Pretrained Language Models.
2021 Conference on Empirical Methods in Natural Language Processing, Online and Punta Cana, Dominican Republic, November 7-11, 2021.
Moens, Marie-Francine; Specia, Lucia; Huang, Xuanjing und Yih, Scott Wen-tau (Hrsg.):
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing,
Stroudsburg, PA: Association for Computational Linguistics. S. 6943-6951
[PDF, 431kB]
Schick, Timo und Schütze, Hinrich
(Juni 2021):
It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Online, June 2021.
Toutanova, Kristina (Hrsg.):
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies,
Stroudsburg, PA: Association for Computational Linguistics. S. 2339-2352
[PDF, 475kB]
Schick, Timo; Udupa, Sahana 
ORCID: https://orcid.org/0000-0003-3647-9570 und Schütze, Hinrich
(17. Dezember 2021):
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP.
In: Transactions of the Association for Computational Linguistics, Bd. 9: S. 1408-1424
[PDF, 411kB]
ORCID: https://orcid.org/0000-0003-3647-9570 und Schütze, Hinrich
(17. Dezember 2021):
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP.
In: Transactions of the Association for Computational Linguistics, Bd. 9: S. 1408-1424
[PDF, 411kB]
Schmitt, Martin; Steinheber, Simon und Schreiber, Konrad
(Oktober 2018):
Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks.
2018 Conference on Empirical Methods in Natural Language Processing; EMNLP 2018, Brussels, Belgium, 31. October - 02. November 2018.
In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing,
Stroudsburg PA: Association for Computational Linguistics. S. 1109-1114
[PDF, 193kB]
Sedinkina, Marina; Breitkopf, Nikolas und Schütze, Hinrich
(28. Juli 2019):
Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes.
, July 28 - August 2, 2019, Florence, Italy
[PDF, 301kB]
Senel, Lutfi Kerem und Schütze, Hinrich
(April 2021):
Does He Wink or Does He Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models.
16th Conference of the European Chapter of the Association for Computational Linguistics, Online, April 19-23, 2021.
Merlo, Paola; Tiedemann, Jörg und Tsarfaty, Reut (Hrsg.):
In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume,
Stroudsburg, PA: Association for Computational Linguistics. S. 532-538
[PDF, 239kB]
Senel, Lütfi Kerem; Schick, Timo und Schütze, Hinrich
(Mai 2022):
CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment.
60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland, May 2022.
Muresan, Smaranda; Nakov, Preslav und Villavicencio, Aline (Hrsg.):
In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers),
Stroudsburg, PA: Association for Computational Linguistics. S. 815-824
[PDF, 290kB]
Severini, Silvia; Imani, Ayyoob; Dufter, Philipp und Schütze, Hinrich
(Juni 2022):
Towards a Broad Coverage Named Entity Resource: A Data-Efficient Approach for Many Diverse Languages.
EACL 2022, Marseille, France, June 2022.
[PDF, 590kB]
Severini, Silvia; Hangya, Viktor; Fraser, Alexander und Schütze, Hinrich
(Dezember 2020):
Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction.
The 28th International Conference on Computational Linguistics, Online, 8. - 13. Dezember 2020.
[PDF, 235kB]
Steinborn, Victor; Dufter, Philipp; Jabbar, Haris und Schütze, Hinrich
(Juli 2022):
An Information-Theoretic Approach and Dataset for Probing Gender Stereotypes in Multilingual Masked Language Models.
NAACL 2022, Seattle, United States, July 2022.
Carpuat, Marine; de Marneffe, Marie-Catherine und Meza Ruiz, Ivan Vladimir (Hrsg.):
In: Findings of the Association for Computational Linguistics: NAACL 2022 - Findings : July 10-15, 2022 : NAACL 2022,
Stroudsburg, PA: Association for Computational Linguistics (ACL). S. 921-932
[PDF, 2MB]
W
Weissweiler, Leonie; Hofmann, Valentin; Köksal, Abdullatif und Schütze, Hinrich
(Dezember 2022):
The Better Your Syntax, the Better Your Semantics? Probing Pretrained Language Models for the English Comparative Correlative.
EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022.
Che, Wanxiang und Shutova, Ekaterina (Hrsg.):
In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations,
Stroudsburg, PA: Association for Computational Linguistics (ACL). S. 10859-10882
[PDF, 635kB]
Weissweiler, Leonie; Hofmann, Valentin; Sabet, Masoud Jalili und Schütze, Hinrich
(Mai 2022):
CaMEL: Case Marker Extraction without Labels.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Dublin, Ireland, May 2022.
Muresan, Smaranda; Nakov, Preslav und Villavicencio, Aline (Hrsg.):
In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers),
Stroudsburg, PA: Association for Computational Linguistics. S. 5506-5516
[PDF, 380kB]
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Yaghoobzadeh, Yadollah; Adel, Heike und Schütze, Hinrich
(April 2018):
Corpus-Level Fine-Grained Entity Typing.
In: Journal of Artificial intelligence Research, Bd. 61: S. 835-862
[PDF, 1MB]
Yaghoobzadeh, Yadollah; Kann, Katharina; Hazen, Timothy; Agirre, Eneko und Schütze, Hinrich
(28. Juli 2019):
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings.
, July 28 - August 2, 2019, Florence, Italy
[PDF, 690kB]
Yaghoobzadeh, Yadollah und Schütze, Hinrich
(Oktober 2018):
Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing.
2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, 31. October - 04. November 2018.
Riloff, Ellen; Chiang, David; Hockenmaier, Julia und Tsujii, Jun’ichi (Hrsg.):
In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Stroudsburg PA: Association for Computational Linguistics. S. 3060-3066
[PDF, 292kB]
Yin, Wenpeng und Schütze, Hinrich
(2018):
Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms.
In: Transactions of the Association for Computational Linguistics, Bd. 6: S. 687-702
[PDF, 1MB]
Yin, Wenpeng; Yaghoobzadeh, Yadollah und Schütze, Hinrich
(August 2018):
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs.
The 27th International Conference on Computational Linguistics; COLING2018, Santa Fe, New Mexico, USA, 20. - 26. August 2018.
Bender, Emily M.; Derczynski, Leon und Isabelle, Pierre (Hrsg.):
In: Proceedings of the 27th International Conference on Computational Linguistics,
Stroudsburg, PA: Association for Computational Linguistics. S. 2369-2378
[PDF, 424kB]
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Zhao, Mengjie; Mi, Fei; Wang, Yasheng; Li, Minglei; Jiang, Xin; Liu, Qun und Schütze, Hinrich
(Juli 2022):
LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework.
NAACL 2022, Seattle, United States, July 2022.
Carpuat,, Marine; de Marneffe, Marie-Catherine und Meza Ruiz, Ivan Vladimir (Hrsg.):
In: Findings of the Association for Computational Linguistics: NAACL 2022,
Stroudsburg, PA: Association for Computational Linguistics (ACL). S. 675-692
[PDF, 2MB]
Zhao, Mengjie; Dufter, Philipp; Yaghoobzadeh, Yadollah und Schütze, Hinrich
(2020):
Quantifying the Contextualization of Word Representations with Semantic Class Probing.
In: Findings of ACL: EMNLP 2020
[PDF, 495kB]
Zhao, Mengjie; Lin, Tao; Mi, Fei; Jaggi, Martin und Schütze, Hinrich
(November 2020):
Masking as an Efficient Alternative to Finetuning
for Pretrained Language Models.
The 2020 Conference on Empirical Methods in Natural Language Processing, Online, 6. – 20. November 2020.
[PDF, 807kB]
Zhao, Mengjie und Schütze, Hinrich
(28. Juli 2019):
A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction.
, July 28 - August 2, 2019, Florence, Italy
[PDF, 544kB]
Zhao, Mengjie und Schütze, Hinrich
(November 2021):
Discrete and Soft Prompting for Multilingual Models.
2021 Conference on Empirical Methods in Natural Language Processing, Online and Punta Cana, Dominican Republic, November 2021.
Moens, Marie-Francine; Huang, Xuanjing; Specia, Lucia und Yih, Scott Wen-tau (Hrsg.):
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing,
Stroudsburg PA: Association for Computational Linguistics.
[PDF, 383kB]
Zhao, Mengjie; Zhu, Yi; Shareghi, Ehsan; Vulic, Ivan; Reichart, Roi; Korhonen, Anna und Schütze, Hinrich
(August 2021):
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters.
59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Online, August 2021.
Zong, Chengqing; Xia, Fei; Li, Wenjie und Navigli, Roberto (Hrsg.):
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers),
Association for Computational Linguistics. S. 5751-5767
[PDF, 737kB]