Non-sequence models for tokenization replacement

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Data Management Plan

Publish datasets and software produced in the project.

Publikacje

The better your Syntax, the better your Semantics? Probing Pretrained Language Models for the English Comparative Correlative

Autorzy: Leonie Weissweiler, Valentin Hofmann, Abdullatif Köksal, Hinrich Schütze
Opublikowane w: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, Numer December 2022, 2022
Wydawca: Association for Computational Linguistics

Modular and Parameter-Efficient Multimodal Fusion with Prompting

Autorzy: Sheng Liang, Mengjie Zhao, Hinrich Schuetze
Opublikowane w: Findings of the Association for Computational Linguistics: ACL 2022, Numer May 2022, 2022
Wydawca: Association for Computational Linguistics

An Information-Theoretic Approach and Dataset for Probing GenderStereotypes in Multilingual Masked Language Models

Autorzy: Victor Steinborn, Philipp Dufter, Haris Jabbar, Hinrich Schütze
Opublikowane w: Findings of the Association for Computational Linguistics: NAACL 2022, Numer July 2022, 2022
Wydawca: Association for Computational Linguistics

LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework

Autorzy: Mengjie Zhao, Fei Mi, Yasheng Wang, Minglei Li, Xin Jiang, Qun Liu, Hinrich Schuetze
Opublikowane w: Findings of the Association for Computational Linguistics: NAACL 2022, Numer July 2022, 2022
Wydawca: Association for Computational Linguistics

A Crosslingual Investigation of Conceptualization in 1335 Languages

Autorzy: Yihong Liu, Haotian Ye, Leonie Weissweiler, Philipp Wicke, Renhao Pei, Robert Zangenfeind, Hinrich Schütze
Opublikowane w: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, Numer July 2023, 2023
Wydawca: Association for Computational Linguistics

Increasing Learning Efficiency of Self-Attention Networks throughDirect Position Interactions, Learnable Temperature,and Convoluted Attention

Autorzy: Philipp Dufter, Martin Schmitt, Hinrich Schütze
Opublikowane w: Proceedings of the 28th International Conference on Computational Linguistics, Numer December 2020, 2020
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.74088

Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages

Autorzy: Ayyoob ImaniGooghari, Peiqin Lin, Amir Hossein Kargaran, Silvia Severini, Masoud Jalili Sabet, Nora Kassner, Chunlan Ma, Helmut Schmid, André Martins, François Yvon, Hinrich Schütze
Opublikowane w: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, Numer July 2023, 2023
Wydawca: Association for Computational Linguistics

Graph Algorithms for Multiparallel Word Alignment

Autorzy: Ayyoob Imani, Masoud Jalili Sabet, Lutfi Kerem Senel, Philipp Dufter, François Yvon, Hinrich Schütze
Opublikowane w: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Numer November 2021, 2021
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/2021.emnlp-main.665

A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters

Autorzy: Mengjie Zhao, Yi Zhu, Ehsan Shareghi, Ivan Vulić, Roi Reichart, Anna Korhonen, Hinrich Schütze
Opublikowane w: 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), Numer August 2021, 2021
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/2021.acl-long.447

Does Manipulating Tokenization Aid Cross-Lingual Transfer? A Study on POS Tagging for Non-Standardized Languages

Autorzy: Verena Blaschke, Hinrich Schütze, Barbara Plank
Opublikowane w: Tenth Workshop on NLP for Similar Languages, Varieties and Dialects, Numer May 2023, 2023
Wydawca: Association for Computational Linguistics

Graph-Based Multilingual Label Propagation for Low-Resource Part-of-Speech Tagging

Autorzy: Ayyoob ImaniGooghari, Silvia Severini, Masoud Jalili Sabet, François Yvon, Hinrich Schütze
Opublikowane w: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, Numer December 2022, 2022
Wydawca: Association for Computational Linguistics

Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations

Autorzy: Sheng Liang, Philipp Dufter, Hinrich Schütze
Opublikowane w: Proceedings of the 28th International Conference on Computational Linguistics, Numer December 2020, 2020
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.74040

Automatically Identifying Words That Can Serve as Labels for Few-ShotText Classification

Autorzy: Timo Schick, Helmut Schmid, Hinrich Schütze
Opublikowane w: Proceedings of the 28th International Conference on Computational Linguistics, Numer 8. - 11. December 2020, 2020
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.74034

Flow-Adapter Architecture for Unsupervised Machine Translation

Autorzy: Yihong Liu, Haris Jabbar, Hinrich Schuetze
Opublikowane w: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Numer May 2022, 2022
Wydawca: Association for Computational Linguistics

Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference

Autorzy: Timo Schick, Hinrich Schütze
Opublikowane w: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Numer April 2021, 2021
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/2021.eacl-main.20

CaMEL: Case Marker Extraction without Labels

Autorzy: Leonie Weissweiler, Valentin Hofmann, Masoud Jalili Sabet, Hinrich Schuetze
Opublikowane w: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Numer May 2022, 2022
Wydawca: Association for Computational Linguistics

Superbizarre Is Not Superb: Derivational Morphology Improves BERT’s Interpretation of Complex Words

Autorzy: Valentin Hofmann, Janet Pierrehumbert, Hinrich Schütze
Opublikowane w: 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), Numer August 2021, 2021
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/2021.acl-long.279

On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator Loss

Autorzy: Yihong Liu, Alexandra Chronopoulou, Hinrich Schütze, Alexander Fraser
Opublikowane w: Proceedings of the 20th International Conference on Spoken Language Translation, Numer July 2023, 2023
Wydawca: Association for Computational Linguistics

Generating Datasets with Pretrained Language Models

Autorzy: Timo Schick, Hinrich Schütze
Opublikowane w: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Numer November 2021, 2021
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/2021.emnlp-main.555

This joke is [MASK]: Recognizing Humor and Offense with Prompting

Autorzy: Junze Li, Mengjie Zhao, Yubo Xie, Antonis Maronikolakis, Pearl Pu, Hinrich Schuetze
Opublikowane w: Proceedings of The 1st Transfer Learning for Natural Language Processing Workshop, Numer December 2022, 2022
Wydawca: Proceedings of Machine Learning Research

It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

Autorzy: Timo Schick, Hinrich Schütze
Opublikowane w: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Numer June 2021, 2021
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/2021.naacl-main.185

The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse

Autorzy: Valentin Hofmann, Hinrich Schütze, Janet B. Pierrehumbert
Opublikowane w: Proceedings of the International AAAI Conference on Web and Social Media, Numer May 2022, 2022
Wydawca: AAAI

Towards a Broad Coverage Named Entity Resource: A Data-Efficient Approach for Many Diverse Languages

Autorzy: Silvia Severini, Ayyoob ImaniGooghari, Philipp Dufter, Hinrich Schütze
Opublikowane w: Proceedings of the Thirteenth Language Resources and Evaluation Conference, Numer June 2022, 2022
Wydawca: European Language Resources Association

An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers

Autorzy: Valentin Hofmann, Hinrich Schuetze, Janet Pierrehumbert
Opublikowane w: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Numer May 2022, 2022
Wydawca: Association for Computational Linguistics

Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity

Autorzy: Valentin Hofmann, Xiaowen Dong, Janet Pierrehumbert, Hinrich Schuetze
Opublikowane w: Findings of the Association for Computational Linguistics: NAACL 2022, Numer July 2022, 2022
Wydawca: Association for Computational Linguistics

Wine is not v i n. On the Compatibility of Tokenizations across Languages

Autorzy: Antonis Maronikolakis, Philipp Dufter, Hinrich Schütze
Opublikowane w: Findings of the Association for Computational Linguistics: EMNLP 2021, Numer November 2021, 2021
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/2021.findings-emnlp.205

CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment

Autorzy: Lütfi Kerem Senel, Timo Schick, Hinrich Schuetze
Opublikowane w: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Numer May 2022, 2022
Wydawca: Association for Computational Linguistics

Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology

Autorzy: Valentin Hofmann, Janet Pierrehumbert, Hinrich Schütze
Opublikowane w: Proceedings of the 39th International Conference on Machine Learning, Numer July 2022, 2022
Wydawca: Proceedings of Machine Learning Research

Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing

Autorzy: Yadollah Yaghoobzadeh, Hinrich Schütze
Opublikowane w: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Numer 31. October - 04. November 2018, 2018, Strona(/y) 3060-3066, ISBN 978-1-948087-84-1
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.61855

Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks

Autorzy: Martin Schmitt, Simon Steinheber, Konrad Schreiber, Benjamin Roth
Opublikowane w: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Numer 31. October - 02. November 2018, 2018, Strona(/y) pp. 1109-1114, ISBN 978-1-948087-84-1
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.61858

Embedding Learning Through Multilingual Concept Induction

Autorzy: Philipp Dufter, Mengjie Zhao, Martin Schmitt, Alexander Fraser, Hinrich Schütze
Opublikowane w: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Numer July 15-20, 2018, 2018, Strona(/y) 1520–1530, ISBN 978-1-948087-32-2
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.61841

Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs

Autorzy: Wenpeng Yin, Yadollah Yaghoobzadeh, Hinrich Schütze
Opublikowane w: Proceedings of the 27th International Conference on Computational Linguistics, Numer August 20-26, 2018, Strona(/y) 2369–2378, ISBN 978-1-948087-50-6
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.61860

Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting

Autorzy: Katharina Kann, Hinrich Schütze
Opublikowane w: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Numer October 31 - November 4, 2018, 2018, Strona(/y) 3254–3264, ISBN 978-1-948087-84-1
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.61867

Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement

Autorzy: Nina Poerner, Benjamin Roth, Hinrich Schütze
Opublikowane w: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Numer July 15 - 20, 2018, 2018, Strona(/y) pages 340–350, ISBN 978-1-948087-32-2
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.61866

Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings

Autorzy: Yadollah Yaghoobzadeh, Katharina Kann, T. J. Hazen, Eneko Agirre, Hinrich Schütze
Opublikowane w: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019, Strona(/y) 5740-5753
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/p19-1574

SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings.

Autorzy: Masoud Jalili Sabet,Philipp Dufter,Hinrich Schütze
Opublikowane w: In: Findings of ACL: EMNLP 2020, 2020
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.72200

Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes

Autorzy: Marina Sedinkina, Nikolas Breitkopf, Hinrich Schütze
Opublikowane w: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019, Strona(/y) 346-359
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/p19-1034

BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance

Autorzy: Timo Schick,Hinrich Schütze
Opublikowane w: Proceedings of the 58th Conference of the Association for Computational Linguistics, ACL 2020, Seattle, USA, July 5 - July 10, 2020, 2020
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.72196

A Graph Auto-encoder Model of Derivational Morphology

Autorzy: Valentin Hofmann, Hinrich Schütze, Janet B. Pierrehumbert
Opublikowane w: Proceedings of the 58th Conference of the Association for Computational Linguistics, ACL 2020, Seattle, USA, July 5 - July 10, 2020, 2020
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.72197

Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly

Autorzy: Nora Kassner, Hinrich Schütze
Opublikowane w: Proceedings of the 58th Conference of the Association for Computational Linguistics, ACL 2020, Seattle, USA, July 5 - July 10, 2020, 2020
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.72195

Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity

Autorzy: Nina Poerner, Ulli Waltinger, Hinrich Schütze
Opublikowane w: Proceedings of the 58th Conference of the Association for Computational Linguistics, ACL 2020, Seattle, USA, July 5 - July 10, 2020, 2020
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.72194

Analytical Methods for Interpretable Ultradense Word Embeddings

Autorzy: Philipp Dufter, Hinrich Schütze
Opublikowane w: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019, Strona(/y) 1185-1191
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/d19-1111

Predicting the Growth of Morphological Families from Social and Linguistic Factors

Autorzy: Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze
Opublikowane w: Proceedings of the 58th Conference of the Association for Computational Linguistics, ACL 2020, Seattle, USA, July 5 - July 10, 2020, 2020
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.72198

A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction

Autorzy: Mengjie Zhao, Hinrich Schütze
Opublikowane w: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019, Strona(/y) 3506-3517
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/p19-1341

Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging

Autorzy: Apostolos Kemos, Heike Adel, Hinrich Schütze
Opublikowane w: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, 2019
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.61846

Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts

Autorzy: Timo Schick, Hinrich Schütze
Opublikowane w: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, 2019
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.61844

Learning Semantic Representations for Novel Words: Leveraging Both Form and Context

Autorzy: Timo Schick, Hinrich Schütze
Opublikowane w: The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, 2019
Wydawca: Association for the Advancement of Artificial Intelligence
DOI: 10.5282/ubm/epub.61859

Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking

Autorzy: Timo Schick, Hinrich Schütze
Opublikowane w: The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference,, 2020, ISBN 978-1-57735-809-1
Wydawca: Association for the Advancement of Artificial Intelligence
DOI: 10.5282/ubm/epub.61863

Few-Shot Text Generation with Natural Language Instructions

PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism

Autorzy: Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schütze
Opublikowane w: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, Numer July 2023, 2023
Wydawca: Association for Computational Linguistics

BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief

Autorzy: Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark
Opublikowane w: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Numer November 2021, 2021
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/2021.emnlp-main.697

Does She Wink or Does She Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models

Autorzy: Lutfi Kerem Senel, Hinrich Schütze
Opublikowane w: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Numer April 2021, 2021
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/2021.eacl-main.42

Dynamic Contextualized Word Embeddings

Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models

Autorzy: Nora Kassner, Philipp Dufter, Hinrich Schütze
Opublikowane w: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Numer April 2021, 2021
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/2021.eacl-main.284

Static Embeddings as Efficient Knowledge Bases?

Autorzy: Philipp Dufter, Nora Kassner, Hinrich Schütze
Opublikowane w: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Numer June 2021, 2021
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/2021.naacl-main.186

Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages

Autorzy: Ercong Nie, Sheng Liang, Helmut Schmid, Hinrich Schütze
Opublikowane w: Findings of the Association for Computational Linguistics: ACL 2023, Numer July 2023, 2023
Wydawca: Association for Computational Linguistics

Discrete and Soft Prompting for Multilingual Models

Autorzy: Mengjie Zhao, Hinrich Schütze
Opublikowane w: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/2021.emnlp-main.672

A Survey of Corpora for Germanic Low-Resource Languages and Dialects

Autorzy: Verena Blaschke, Hinrich Schuetze, Barbara Plank
Opublikowane w: Proceedings of the 24th Nordic Conference on Computational Linguistics, Numer May 2023, 2023
Wydawca: University of Tartu Library

Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction

Autorzy: Silvia Severini, Viktor Hangya, Alexander Fraser, Hinrich Schütze
Opublikowane w: Proceedings of the 28th International Conference on Computational Linguistics, Numer December 2020, 2020
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.74087

DagoBERT: Generating Derivational Morphology with a Pretrained Language Model

Autorzy: Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze
Opublikowane w: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Numer 16. – 20. November, 2020
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.74031

Quantifying the Contextualization of Word Representations with Semantic Class Probing

Autorzy: Mengjie Zhao, Philipp Dufter, Yadollah Yaghoobzadeh, Hinrich Schütze
Opublikowane w: In: Findings of ACL: EMNLP 2020, 2020
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.74039

Graph Neural Networks for Multiparallel Word Alignment

Autorzy: Ayyoob Imani, Lütfi Kerem Senel, Masoud Jalili Sabet, François Yvon, Hinrich Schuetze
Opublikowane w: Findings of the Association for Computational Linguistics: ACL 2022, Numer May 2022, 2022
Wydawca: Association for Computational Linguistics

Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments

Autorzy: Antonis Maronikolakis, Axel Wisiorek, Leah Nann, Haris Jabbar, Sahana Udupa, Hinrich Schuetze
Opublikowane w: Findings of the Association for Computational Linguistics: ACL 2022, Numer May 2022, 2022
Wydawca: Association for Computational Linguistics

Masking as an Efficient Alternative to Finetuning for Pretrained Language Models

Autorzy: Mengjie Zhao, Tao Lin, Fei Mi, Martin Jaggi, Hinrich Schütze
Opublikowane w: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Numer 16. – 20. November 2020, 2020
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.74038

Identifying Elements Essential for BERT’s Multilinguality

Autorzy: Philipp Dufter, Hinrich Schutze
Opublikowane w: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Numer 16th – 20th November 2020, 2020
Wydawca: Association for Computational Linguistics
DOI: 10.5282/ubm/epub.74030

Position Information in Transformers: An Overview

Autorzy: Philipp Dufter, Martin Schmitt, Hinrich Schütze
Opublikowane w: Computational Linguistics, Numer Volume 48, Numer 3 - September 2022, 2022, ISSN 0891-2017
Wydawca: MIT Press

Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms

Autorzy: Wenpeng Yin, Hinrich Schütze
Opublikowane w: Transactions of the Association for Computational Linguistics, Numer 6, 2018, Strona(/y) 687-702, ISSN 2307-387X
Wydawca: MIT Press
DOI: 10.1162/tacl_a_00249

Corpus-Level Fine-Grained Entity Typing

Autorzy: Yadollah Yaghoobzadeh, Heike Adel, Hinrich Schuetze
Opublikowane w: Journal of Artificial Intelligence Research, Numer 61, 2018, Strona(/y) 835-862, ISSN 1076-9757
Wydawca: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.5601

SMAPH

Autorzy: Marco Cornolti, Paolo Ferragina, Massimiliano Ciaramita, Stefan Rüd, Hinrich Schütze
Opublikowane w: ACM Transactions on Information Systems, Numer 37/1, 2019, Strona(/y) 1-42, ISSN 1046-8188
Wydawca: Association for Computing Machinary, Inc.
DOI: 10.1145/3284102

Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models

Autorzy: James L. McClelland, Felix Hill, Maja Rudolph, Jason Baldridge, Hinrich Schütze
Opublikowane w: Proceedings of the National Academy of Sciences, Numer 117/42, 2020, Strona(/y) 25966-25974, ISSN 0027-8424
Wydawca: National Academy of Sciences
DOI: 10.1073/pnas.1910416117

Type-aware Convolutional Neural Networks for Slot Filling

Autorzy: Heike Adel, Hinrich Schuetze
Opublikowane w: Journal of Artificial Intelligence Research, Numer 66, 2019, Strona(/y) 297-339, ISSN 1076-9757
Wydawca: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.11725

Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP

Autorzy: Timo Schick, Sahana Udupa, Hinrich Schütze
Opublikowane w: Transactions of the Association for Computational Linguistics, 2021, ISSN 2307-387X
Wydawca: Association for Computational Linguistics
DOI: 10.1162/tacl_a_00434

True Few-Shot Learning with Prompts—A Real-World Perspective

Autorzy: Timo Schick, Hinrich Schütze
Opublikowane w: Transactions of the Association for Computational Linguistics, Numer Volume 10, 2022, ISSN 2307-387X
Wydawca: MIT Press

A Stronger Baseline for Multilingual Word Embeddings

Autorzy: Philipp Dufter, Hinrich Schütze
Opublikowane w: 2018
Wydawca: arXiv
DOI: 10.5282/ubm/epub.61864

Aligning Very Small Parallel Corpora Using Cross-Lingual Word Embeddings and a Monogamy Objective

Autorzy: Nina Poerner, Masoud Jalili Sabet, Benjamin Roth and Hinrich Schütze
Opublikowane w: 2018
Wydawca: arXiv
DOI: 10.5282/ubm/epub.61865

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