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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
[j27]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)- [c231]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 - [c230]Lütfi Kerem Senel, Timo Schick, Hinrich Schütze:
CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment. ACL (2) 2022: 815-824 - [c229]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 - [c228]Yihong Liu, Haris Jabbar, Hinrich Schütze:
Flow-Adapter Architecture for Unsupervised Machine Translation. ACL (1) 2022: 1253-1266 - [c227]Ayyoob Imani, Lütfi Kerem Senel, Masoud Jalili Sabet, François Yvon, Hinrich Schütze:
Graph Neural Networks for Multiparallel Word Alignment. ACL (Findings) 2022: 1384-1396 - [c226]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 - [c225]Sheng Liang, Mengjie Zhao, Hinrich Schütze:
Modular and Parameter-Efficient Multimodal Fusion with Prompting. ACL (Findings) 2022: 2976-2985 - [c224]Leonie Weissweiler, Valentin Hofmann, Masoud Jalili Sabet, Hinrich Schütze:
CaMEL: Case Marker Extraction without Labels. ACL (1) 2022: 5506-5516 - [c223]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 - [i146]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) - [i145]Yanchen Liu, Timo Schick, Hinrich Schütze:
Semantic-Oriented Unlabeled Priming for Large-Scale Language Models. CoRR abs/2202.06133 (2022) - [i144]Lütfi Kerem Senel, Timo Schick, Hinrich Schütze:
CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment. CoRR abs/2203.06228 (2022) - [i143]Sheng Liang, Mengjie Zhao, Hinrich Schütze:
Modular and Parameter-Efficient Multimodal Fusion with Prompting. CoRR abs/2203.08055 (2022) - [i142]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) - [i141]Valentin Hofmann, Goran Glavas, Nikola Ljubesic, Janet B. Pierrehumbert, Hinrich Schütze:
Geographic Adaptation of Pretrained Language Models. CoRR abs/2203.08565 (2022) - [i140]Ayyoob Imani, Lütfi Kerem Senel, Masoud Jalili Sabet, François Yvon, Hinrich Schütze:
Graph Neural Networks for Multiparallel Word Alignment. CoRR abs/2203.08654 (2022) - [i139]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) - [i138]Leonie Weissweiler, Valentin Hofmann, Masoud Jalili Sabet, Hinrich Schütze:
CaMEL: Case Marker Extraction without Labels. CoRR abs/2203.10010 (2022) - [i137]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) - [i136]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) - [i135]Yihong Liu, Haris Jabbar, Hinrich Schütze:
Flow-Adapter Architecture for Unsupervised Machine Translation. CoRR abs/2204.12225 (2022) - [i134]Antonis Maronikolakis, Philip Baader, Hinrich Schütze:
Analyzing Hate Speech Data along Racial, Gender and Intersectional Axes. CoRR abs/2205.06621 (2022) - [i133]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) - 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]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
DagoBERT: Generating Derivational Morphology with a Pretrained Language Model. EMNLP (1) 2020: 3848-3861 - [c179]Philipp Dufter, Hinrich Schütze:
Identifying Elements Essential for BERT's Multilinguality. EMNLP (1) 2020: 4423-4437 - [c178]Martin Schmitt, Sahand Sharifzadeh, Volker Tresp, Hinrich Schütze:
An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing. EMNLP (1) 2020: 7117-7130 - [c177]Yatin Chaudhary, Hinrich Schütze, Pankaj Gupta:
Explainable and Discourse Topic-aware Neural Language Understanding. ICML 2020: 1479-1488 - [c176]Pankaj Gupta, Yatin Chaudhary, Thomas A. Runkler, Hinrich Schütze:
Neural Topic Modeling with Continual Lifelong Learning. ICML 2020: 3907-3917 - [c175]Anne Beyer, Göran Kauermann, Hinrich Schütze:
Embedding Space Correlation as a Measure of Domain Similarity. LREC 2020: 2431-2439 - [c174]Suteera Seeha, Ivan Bilan, Liliana Mamani Sánchez, Johannes Huber, Michael Matuschek, Hinrich Schütze:
ThaiLMCut: Unsupervised Pretraining for Thai Word Segmentation. LREC 2020: 6947-6957 - [c173]Ehsaneddin Asgari, Christoph Ringlstetter, Hinrich Schütze:
EmbLexChange at SemEval-2020 Task 1: Unsupervised Embedding-based Detection of Lexical Semantic Changes. SemEval@COLING 2020: 201-207 - [i104]Alena Moiseeva, Dietrich Trautmann, Hinrich Schütze:
Multipurpose Intelligent Process Automation via Conversational Assistant. CoRR abs/2001.02284 (2020) - [i103]Timo Schick, Hinrich Schütze:
Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference. CoRR abs/2001.07676 (2020) - [i102]Nina Pörner, Ulli Waltinger, Hinrich Schütze:
Inexpensive Domain Adaptation of Pretrained Language Models: A Case Study on Biomedical Named Entity Recognition. CoRR abs/2004.03354 (2020) - [i101]Masoud Jalili Sabet, Philipp Dufter, Hinrich Schütze:
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings. CoRR abs/2004.08728 (2020) - [i100]Mengjie Zhao, Philipp Dufter, Yadollah Yaghoobzadeh, Hinrich Schütze:
Quantifying the Contextualization of Word Representations with Semantic Class Probing. CoRR abs/2004.12198 (2020) - [i99]Mengjie Zhao, Tao Lin, Martin Jaggi, Hinrich Schütze:
Masking as an Efficient Alternative to Finetuning for Pretrained Language Models. CoRR abs/2004.12406 (2020) - [i98]Philipp Dufter, Hinrich Schütze:
Identifying Necessary Elements for BERT's Multilinguality. CoRR abs/2005.00396 (2020) - [i97]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Generating Derivational Morphology with BERT. CoRR abs/2005.00672 (2020) - [i96]Nora Kassner, Hinrich Schütze:
BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA. CoRR abs/2005.00766 (2020) - [i95]Ehsaneddin Asgari, Christoph Ringlstetter, Hinrich Schütze:
Unsupervised Embedding-based Detection of Lexical Semantic Changes. CoRR abs/2005.07979 (2020) - [i94]Martin Schmitt, Leonardo F. R. Ribeiro, Philipp Dufter, Iryna Gurevych, Hinrich Schütze:
Modeling Graph Structure via Relative Position for Better Text Generation from Knowledge Graphs. CoRR abs/2006.09242 (2020) - [i93]Nora Kassner, Benno Krojer, Hinrich Schütze:
Pre-trained Language Models as Symbolic Reasoners over Knowledge? CoRR abs/2006.10413 (2020) - [i92]Yatin Chaudhary, Hinrich Schütze, Pankaj Gupta:
Explainable and Discourse Topic-aware Neural Language Understanding. CoRR abs/2006.10632 (2020) - [i91]Pankaj Gupta, Yatin Chaudhary, Thomas A. Runkler, Hinrich Schütze:
Neural Topic Modeling with Continual Lifelong Learning. CoRR abs/2006.10909 (2020) - [i90]Marina Sedinkina, Nikolas Breitkopf, Hinrich Schütze:
Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes. CoRR abs/2006.14209 (2020) - [i89]Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, Iryna Gurevych:
Investigating Pretrained Language Models for Graph-to-Text Generation. CoRR abs/2007.08426 (2020) - [i88]Timo Schick, Hinrich Schütze:
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners. CoRR abs/2009.07118 (2020) - [i87]Antonis Maronikolakis, Mark Stevenson, Hinrich Schütze:
Transformers Are Better Than Humans at Identifying Generated Text. CoRR abs/2009.13375 (2020) - [i86]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Dynamic Contextualized Word Embeddings. CoRR abs/2010.12684 (2020) - [i85]Timo Schick, Helmut Schmid, Hinrich Schütze:
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification. CoRR abs/2010.13641 (2020) - [i84]Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas A. Runkler, Hinrich Schütze:
TopicBERT for Energy Efficient Document Classification. CoRR abs/2010.16407 (2020) - [i83]