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ORCIDHinrich Schütze
Person information
- affiliation: Ludwig Maximilian University of Munich, Center for Information and Language Processing, Germany
- affiliation (former): University of Stuttgart, Institute for Natural Language Processing, Germany
- affiliation (former): Stanford University, CA, USA
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2020 – today
- 2022
[j32]Philipp Dufter, Martin Schmitt, Hinrich Schütze:
Position Information in Transformers: An Overview. Comput. Linguistics 48(3): 733-763 (2022)- [j31]Lütfi Kerem Senel
, Furkan Sahinuç, Veysel Yücesoy, Hinrich Schütze, Tolga Çukur, Aykut Koç:
Learning interpretable word embeddings via bidirectional alignment of dimensions with semantic concepts. Inf. Process. Manag. 59(3): 102925 (2022) - [j30]Timo Schick, Hinrich Schütze:
True Few-Shot Learning With Prompts - A Real-World Perspective. Trans. Assoc. Comput. Linguistics 10: 716-731 (2022) - [c238]Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp:
Improving Scene Graph Classification by Exploiting Knowledge from Texts. AAAI 2022: 2189-2197 - [c237]Valentin Hofmann, Hinrich Schütze, Janet B. Pierrehumbert:
An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers. ACL (2) 2022: 385-393 - [c236]Lütfi Kerem Senel, Timo Schick, Hinrich Schütze:
CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment. ACL (2) 2022: 815-824 - [c235]Antonis Maronikolakis, Axel Wisiorek, Leah Nann, Haris Jabbar, Sahana Udupa, Hinrich Schütze:
Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments. ACL (Findings) 2022: 1089-1104 - [c234]Yihong Liu, Haris Jabbar, Hinrich Schütze:
Flow-Adapter Architecture for Unsupervised Machine Translation. ACL (1) 2022: 1253-1266 - [c233]Ayyoob Imani, Lütfi Kerem Senel, Masoud Jalili Sabet, François Yvon, Hinrich Schütze:
Graph Neural Networks for Multiparallel Word Alignment. ACL (Findings) 2022: 1384-1396 - [c232]Sanjeev Kumar Karn, Ning Liu, Hinrich Schütze, Oladimeji Farri:
Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization. ACL (1) 2022: 1542-1553 - [c231]Sheng Liang, Mengjie Zhao, Hinrich Schütze:
Modular and Parameter-Efficient Multimodal Fusion with Prompting. ACL (Findings) 2022: 2976-2985 - [c230]Leonie Weissweiler, Valentin Hofmann, Masoud Jalili Sabet, Hinrich Schütze:
CaMEL: Case Marker Extraction without Labels. ACL (1) 2022: 5506-5516 - [c229]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology. ICML 2022: 8796-8810 - [c228]Valentin Hofmann, Hinrich Schütze, Janet B. Pierrehumbert:
The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse. ICWSM 2022: 1259-1267 - [c227]Sajad Mirzababaei, Amir Hossein Kargaran, Hinrich Schütze, Ehsaneddin Asgari:
Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging. AACL/IJCNLP (1) 2022: 1013-1024 - [c226]Silvia Severini, Ayyoob ImaniGooghari, Philipp Dufter, Hinrich Schütze:
Towards a Broad Coverage Named Entity Resource: A Data-Efficient Approach for Many Diverse Languages. LREC 2022: 3923-3933 - [c225]Valentin Hofmann, Xiaowen Dong, Janet B. Pierrehumbert, Hinrich Schütze:
Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity. NAACL-HLT (Findings) 2022: 536-550 - [c224]Mengjie Zhao, Fei Mi, Yasheng Wang, Minglei Li, Xin Jiang, Qun Liu, Hinrich Schütze:
LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework. NAACL-HLT (Findings) 2022: 675-692 - [c223]Victor Steinborn, Philipp Dufter, Haris Jabbar, Hinrich Schütze:
An Information-Theoretic Approach and Dataset for Probing Gender Stereotypes in Multilingual Masked Language Models. NAACL-HLT (Findings) 2022: 921-932 - [i157]Silvia Severini, Ayyoob Imani, Philipp Dufter, Hinrich Schütze:
Towards a Broad Coverage Named Entity Resource: A Data-Efficient Approach for Many Diverse Languages. CoRR abs/2201.12219 (2022) - [i156]Yanchen Liu, Timo Schick, Hinrich Schütze:
Semantic-Oriented Unlabeled Priming for Large-Scale Language Models. CoRR abs/2202.06133 (2022) - [i155]Lütfi Kerem Senel, Timo Schick, Hinrich Schütze:
CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment. CoRR abs/2203.06228 (2022) - [i154]Sheng Liang, Mengjie Zhao, Hinrich Schütze:
Modular and Parameter-Efficient Multimodal Fusion with Prompting. CoRR abs/2203.08055 (2022) - [i153]Sanjeev Kumar Karn, Ning Liu, Hinrich Schütze, Oladimeji Farri:
Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization. CoRR abs/2203.08257 (2022) - [i152]Valentin Hofmann, Goran Glavas, Nikola Ljubesic, Janet B. Pierrehumbert, Hinrich Schütze:
Geographic Adaptation of Pretrained Language Models. CoRR abs/2203.08565 (2022) - [i151]Ayyoob Imani, Lütfi Kerem Senel, Masoud Jalili Sabet, François Yvon, Hinrich Schütze:
Graph Neural Networks for Multiparallel Word Alignment. CoRR abs/2203.08654 (2022) - [i150]Zhen Han, Ruotong Liao, Beiyan Liu, Yao Zhang, Zifeng Ding, Heinz Köppl, Hinrich Schütze, Volker Tresp:
Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations. CoRR abs/2203.09590 (2022) - [i149]Leonie Weissweiler, Valentin Hofmann, Masoud Jalili Sabet, Hinrich Schütze:
CaMEL: Case Marker Extraction without Labels. CoRR abs/2203.10010 (2022) - [i148]Antonis Maronikolakis, Axel Wisiorek, Leah Nann, Haris Jabbar, Sahana Udupa, Hinrich Schütze:
Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments. CoRR abs/2203.11764 (2022) - [i147]Marina Sedinkina, Martin Schmitt, Hinrich Schütze:
Domain Adaptation for Sparse-Data Settings: What Do We Gain by Not Using Bert? CoRR abs/2203.16926 (2022) - [i146]Yihong Liu, Haris Jabbar, Hinrich Schütze:
Flow-Adapter Architecture for Unsupervised Machine Translation. CoRR abs/2204.12225 (2022) - [i145]Antonis Maronikolakis, Philip Baader, Hinrich Schütze:
Analyzing Hate Speech Data along Racial, Gender and Intersectional Axes. CoRR abs/2205.06621 (2022) - [i144]Silvia Severini, Viktor Hangya, Masoud Jalili Sabet, Alexander Fraser, Hinrich Schütze:
Don't Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings. CoRR abs/2205.15713 (2022) - [i143]Yanai Elazar, Nora Kassner, Shauli Ravfogel, Amir Feder, Abhilasha Ravichander, Marius Mosbach, Yonatan Belinkov, Hinrich Schütze, Yoav Goldberg:
Measuring Causal Effects of Data Statistics on Language Model's 'Factual' Predictions. CoRR abs/2207.14251 (2022) - [i142]Peiqin Lin, Jiashuo Wang, Hinrich Schütze, Wenjie Li:
Modeling Content-Emotion Duality via Disentanglement for Empathetic Conversation. CoRR abs/2209.12495 (2022) - [i141]Yatin Chaudhary, Pranav Rai, Matthias Schubert, Hinrich Schütze, Pankaj Gupta:
Federated Continual Learning for Text Classification via Selective Inter-client Transfer. CoRR abs/2210.06101 (2022) - [i140]Abdullatif Köksal, Silvia Severini, Hinrich Schütze:
SilverAlign: MT-Based Silver Data Algorithm For Evaluating Word Alignment. CoRR abs/2210.06207 (2022) - [i139]Ayyoob Imani, Silvia Severini, Masoud Jalili Sabet, François Yvon, Hinrich Schütze:
Graph-Based Multilingual Label Propagation for Low-Resource Part-of-Speech Tagging. CoRR abs/2210.09840 (2022) - [i138]Leonie Weissweiler, Valentin Hofmann, Abdullatif Köksal, Hinrich Schütze:
The Better Your Syntax, the Better Your Semantics? Probing Pretrained Language Models for the English Comparative Correlative. CoRR abs/2210.13181 (2022) - [i137]Junze Li, Mengjie Zhao, Yubo Xie, Antonis Maronikolakis, Pearl Pu, Hinrich Schütze:
This joke is [MASK]: Recognizing Humor and Offense with Prompting. CoRR abs/2210.13985 (2022) - [i136]Abdullatif Köksal, Timo Schick, Hinrich Schütze:
MEAL: Stable and Active Learning for Few-Shot Prompting. CoRR abs/2211.08358 (2022) - [i135]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology. CoRR abs/2212.07547 (2022) - [i134]Yongkang Liu, Shi Feng, Daling Wang, Hinrich Schütze, Yifei Zhang:
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism. CoRR abs/2212.09086 (2022) - [i133]Ercong Nie, Sheng Liang, Helmut Schmid, Hinrich Schütze:
Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages. CoRR abs/2212.09651 (2022) - 2021
- [j29]Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy, Hinrich Schütze, Yoav Goldberg:
Measuring and Improving Consistency in Pretrained Language Models. Trans. Assoc. Comput. Linguistics 9: 1012-1031 (2021) - [j28]Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy, Hinrich Schütze, Yoav Goldberg:
Erratum: Measuring and Improving Consistency in Pretrained Language Models. Trans. Assoc. Comput. Linguistics 9: 1407 (2021) - [j27]Timo Schick, Sahana Udupa, Hinrich Schütze:
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP. Trans. Assoc. Comput. Linguistics 9: 1408-1424 (2021) - [c222]Ayyoob ImaniGooghari, Masoud Jalili Sabet, Philipp Dufter, Michael Cysouw, Hinrich Schütze:
ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus. ACL (demo) 2021: 63-72 - [c221]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words. ACL/IJCNLP (1) 2021: 3594-3608 - [c220]Mengjie Zhao, Yi Zhu, Ehsan Shareghi, Ivan Vulic, Roi Reichart, Anna Korhonen, Hinrich Schütze:
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters. ACL/IJCNLP (1) 2021: 5751-5767 - [c219]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Dynamic Contextualized Word Embeddings. ACL/IJCNLP (1) 2021: 6970-6984 - [c218]Jeremias Bohn, Jannik Fischbach, Martin Schmitt, Hinrich Schütze, Andreas Vogelsang:
Semi-Automated Labeling of Requirement Datasets for Relation Extraction. BUCC@RANLP 2021: 40-45 - [c217]Timo Schick, Hinrich Schütze:
Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference. EACL 2021: 255-269 - [c216]Lutfi Kerem Senel, Hinrich Schütze:
Does She Wink or Does She Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models. EACL 2021: 532-538 - [c215]Martin Schmitt, Hinrich Schütze:
Language Models for Lexical Inference in Context. EACL 2021: 1267-1280 - [c214]Nora Kassner, Philipp Dufter, Hinrich Schütze:
Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models. EACL 2021: 3250-3258 - [c213]Timo Schick, Hinrich Schütze:
Few-Shot Text Generation with Natural Language Instructions. EMNLP (1) 2021: 390-402 - [c212]Antonis Maronikolakis, Philipp Dufter, Hinrich Schütze:
Wine is not v i n. On the Compatibility of Tokenizations across Languages. EMNLP (Findings) 2021: 2382-2399 - [c211]Timo Schick, Hinrich Schütze:
Generating Datasets with Pretrained Language Models. EMNLP (1) 2021: 6943-6951 - [c210]Martin Schmitt, Hinrich Schütze:
Continuous Entailment Patterns for Lexical Inference in Context. EMNLP (1) 2021: 6952-6959 - [c209]Ayyoob Imani, Masoud Jalili Sabet, Lutfi Kerem Senel, Philipp Dufter, François Yvon, Hinrich Schütze:
Graph Algorithms for Multiparallel Word Alignment. EMNLP (1) 2021: 8457-8469 - [c208]Mengjie Zhao, Hinrich Schütze:
Discrete and Soft Prompting for Multilingual Models. EMNLP (1) 2021: 8547-8555 - [c207]Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark:
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief. EMNLP (1) 2021: 8849-8861 - [c206]Luisa März, Stefan Schweter, Nina Pörner, Benjamin Roth, Hinrich Schütze:
Data Centric Domain Adaptation for Historical Text with OCR Errors. ICDAR (2) 2021: 748-761 - [c205]Timo Schick, Hinrich Schütze:
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners. NAACL-HLT 2021: 2339-2352 - [c204]Philipp Dufter, Nora Kassner, Hinrich Schütze:
Static Embeddings as Efficient Knowledge Bases? NAACL-HLT 2021: 2353-2363 - [c203]Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze:
Multi-source Neural Topic Modeling in Multi-view Embedding Spaces. NAACL-HLT 2021: 4205-4217 - [c202]Julian Höllig, Philipp Dufter, Michaela Geierhos, Wolfgang Ziegler, Hinrich Schütze:
Semantic Text Segment Classification of Structured Technical Content. NLDB 2021: 165-177 - [i132]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Superbizarre Is Not Superb: Improving BERT's Interpretations of Complex Words with Derivational Morphology. CoRR abs/2101.00403 (2021) - [i131]Nora Kassner, Philipp Dufter, Hinrich Schütze:
Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models. CoRR abs/2102.00894 (2021) - [i130]Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy, Hinrich Schütze, Yoav Goldberg:
Measuring and Improving Consistency in Pretrained Language Models. CoRR abs/2102.01017 (2021) - [i129]Lutfi Kerem Senel, Hinrich Schütze:
Does He Wink or Does He Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models. CoRR abs/2102.03596 (2021) - [i128]Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp:
Improving Visual Reasoning by Exploiting The Knowledge in Texts. CoRR abs/2102.04760 (2021) - [i127]Martin Schmitt, Hinrich Schütze:
Language Models for Lexical Inference in Context. CoRR abs/2102.05331 (2021) - [i126]Philipp Dufter, Martin Schmitt, Hinrich Schütze:
Position Information in Transformers: An Overview. CoRR abs/2102.11090 (2021) - [i125]Timo Schick, Sahana Udupa, Hinrich Schütze:
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP. CoRR abs/2103.00453 (2021) - [i124]Sanjeev Kumar Karn, Francine Chen, Yan-Ying Chen, Ulli Waltinger, Hinrich Schütze:
Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data. CoRR abs/2103.05131 (2021) - [i123]Philipp Dufter, Nora Kassner, Hinrich Schütze:
Static Embeddings as Efficient Knowledge Bases? CoRR abs/2104.07094 (2021) - [i122]Timo Schick, Hinrich Schütze:
Generating Datasets with Pretrained Language Models. CoRR abs/2104.07540 (2021) - [i121]Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark:
Enriching a Model's Notion of Belief using a Persistent Memory. CoRR abs/2104.08401 (2021) - [i120]Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze:
Multi-source Neural Topic Modeling in Multi-view Embedding Spaces. CoRR abs/2104.08551 (2021) - [i119]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Modeling Ideological Agenda Setting and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity. CoRR abs/2104.08829 (2021) - [i118]Luisa März, Stefan Schweter, Nina Pörner, Benjamin Roth, Hinrich Schütze:
Data Centric Domain Adaptation for Historical Text with OCR Errors. CoRR abs/2107.00927 (2021) - [i117]Ayyoob Imani, Masoud Jalili Sabet, Philipp Dufter, Michael Cysouw, Hinrich Schütze:
ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus. CoRR abs/2107.06632 (2021) - [i116]Jeremias Bohn, Jannik Fischbach, Martin Schmitt, Hinrich Schütze, Andreas Vogelsang:
Semi-Automated Labeling of Requirement Datasets for Relation Extraction. CoRR abs/2109.02050 (2021) - [i115]Mengjie Zhao, Hinrich Schütze:
Discrete and Soft Prompting for Multilingual Models. CoRR abs/2109.03630 (2021) - [i114]Martin Schmitt, Hinrich Schütze:
Continuous Entailment Patterns for Lexical Inference in Context. CoRR abs/2109.03695 (2021) - [i113]Antonis Maronikolakis, Philipp Dufter, Hinrich Schütze:
Wine is Not v i n. - On the Compatibility of Tokenizations Across Languages. CoRR abs/2109.05772 (2021) - [i112]Ayyoob Imani, Masoud Jalili Sabet, Lütfi Kerem Senel, Philipp Dufter, François Yvon, Hinrich Schütze:
Graph Algorithms for Multiparallel Word Alignment. CoRR abs/2109.06283 (2021) - [i111]Sheng Liang, Philipp Dufter, Hinrich Schütze:
Locating Language-Specific Information in Contextualized Embeddings. CoRR abs/2109.08040 (2021) - [i110]Antonis Maronikolakis, Philipp Dufter, Hinrich Schütze:
BERT Cannot Align Characters. CoRR abs/2109.09700 (2021) - [i109]Maximilian Mozes, Martin Schmitt, Vladimir Golkov, Hinrich Schütze, Daniel Cremers:
Scene Graph Generation for Better Image Captioning? CoRR abs/2109.11398 (2021) - [i108]Nikolai Solmsdorf, Dietrich Trautmann, Hinrich Schütze:
Active Learning for Argument Mining: A Practical Approach. CoRR abs/2109.13611 (2021) - [i107]Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark:
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief. CoRR abs/2109.14723 (2021) - [i106]Timo Schick, Hinrich Schütze:
True Few-Shot Learning with Prompts - A Real-World Perspective. CoRR abs/2111.13440 (2021) - [i105]Mengjie Zhao, Fei Mi, Yasheng Wang, Minglei Li, Xin Jiang, Qun Liu, Hinrich Schütze:
LMTurk: Few-Shot Learners as Crowdsourcing Workers. CoRR abs/2112.07522 (2021) - 2020
- [j26]Dietrich Trautmann, Michael Fromm, Volker Tresp, Thomas Seidl, Hinrich Schütze:
Relational and Fine-Grained Argument Mining. Datenbank-Spektrum 20(2): 99-105 (2020) - [c201]Alena Moiseeva, Hinrich Schütze:
TRENDNERT: A Benchmark for Trend and Downtrend Detection in a Scientific Domain. AAAI 2020: 8512-8519 - [c200]Timo Schick, Hinrich Schütze:
Rare Words: A Major Problem for Contextualized Embeddings and How to Fix it by Attentive Mimicking. AAAI 2020: 8766-8774 - [c199]Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schütze, Iryna Gurevych:
Fine-Grained Argument Unit Recognition and Classification. AAAI 2020: 9048-9056 - [c198]Valentin Hofmann, Hinrich Schütze, Janet B. Pierrehumbert:
A Graph Auto-encoder Model of Derivational Morphology. ACL 2020: 1127-1138 - [c197]Timo Schick, Hinrich Schütze:
BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance. ACL 2020: 3996-4007 - [c196]Nina Pörner, Ulli Waltinger, Hinrich Schütze:
Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity. ACL 2020: 7027-7034 - [c195]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Predicting the Growth of Morphological Families from Social and Linguistic Factors. ACL 2020: 7273-7283 - [c194]Nora Kassner, Hinrich Schütze:
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly. ACL 2020: 7811-7818 - [c193]Silvia Severini, Viktor Hangya, Alexander M. Fraser, Hinrich Schütze:
LMU Bilingual Dictionary Induction System with Word Surface Similarity Scores for BUCC 2020. BUCC@LREC 2020: 49-55 - [c192]Philipp Dufter, Martin Schmitt, Hinrich Schütze:
Increasing Learning Efficiency of Self-Attention Networks through Direct Position Interactions, Learnable Temperature, and Convoluted Attention. COLING 2020: 3630-3636 - [c191]Sheng Liang, Philipp Dufter, Hinrich Schütze:
Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations. COLING 2020: 5082-5093 - [c190]Timo Schick, Helmut Schmid, Hinrich Schütze:
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification. COLING 2020: 5569-5578 - [c189]Silvia Severini, Viktor Hangya, Alexander M. Fraser, Hinrich Schütze:
Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction. COLING 2020: 6044-6055 - [c188]Nora Kassner, Benno Krojer, Hinrich Schütze:
Are Pretrained Language Models Symbolic Reasoners over Knowledge? CoNLL 2020: 552-564 - [c187]Nina Pörner, Ulli Waltinger, Hinrich Schütze:
E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT. EMNLP (Findings) 2020: 803-818 - [c186]Mengjie Zhao, Philipp Dufter, Yadollah Yaghoobzadeh, Hinrich Schütze:
Quantifying the Contextualization of Word Representations with Semantic Class Probing. EMNLP (Findings) 2020: 1219-1234 - [c185]Nina Pörner, Ulli Waltinger, Hinrich Schütze:
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA. EMNLP (Findings) 2020: 1482-1490 - [c184]Masoud Jalili Sabet, Philipp Dufter, François Yvon, Hinrich Schütze:
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings. EMNLP (Findings) 2020: 1627-1643 - [c183]Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas A. Runkler, Hinrich Schütze:
TopicBERT for Energy Efficient Document Classification. EMNLP (Findings) 2020: 1682-1690 - [c182]Mengjie Zhao, Tao Lin, Fei Mi, Martin Jaggi, Hinrich Schütze:
Masking as an Efficient Alternative to Finetuning for Pretrained Language Models. EMNLP (1) 2020: 2226-2241 - [c181]Nora Kassner, Hinrich Schütze:
BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA. EMNLP (Findings) 2020: 3424-3430 - [c180]