default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID7th RepL4NLP@ACL 2022: Dublin, Ireland
- Spandana Gella, He He, Bodhisattwa Prasad Majumder, Burcu Can, Eleonora Giunchiglia, Samuel Cahyawijaya, Sewon Min, Maximilian Mozes, Xiang Lorraine Li, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Laura Rimell, Chris Dyer:
Proceedings of the 7th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-48-3 - Antonio Valerio Miceli Barone
, Alexandra Birch, Rico Sennrich:
Distributionally Robust Recurrent Decoders with Random Network Distillation. 1-8 - Kourosh Meshgi, Maryam Sadat Mirzaei, Satoshi Sekine:
Q-Learning Scheduler for Multi Task Learning Through the use of Histogram of Task Uncertainty. 9-19 - Machel Reid, Mikel Artetxe:
PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining. 20-28 - Romain Bielawski, Benjamin Devillers, Tim Van de Cruys, Rufin VanRullen:
When does CLIP generalize better than unimodal models? When judging human-centric concepts. 29-38 - Zhenisbek Assylbekov, Sultan Nurmukhamedov, Arsen Sheverdin, Thomas Mach:
From Hyperbolic Geometry Back to Word Embeddings. 39-45 - Yuxuan Chen, Jonas Mikkelsen, Arne Binder, Christoph Alt, Leonhard Hennig:
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition. 46-59 - Holy Lovenia, Bryan Wilie, Willy Chung, Min Zeng, Samuel Cahyawijaya, Su Dan, Pascale Fung:
Clozer": " Adaptable Data Augmentation for Cloze-style Reading Comprehension. 60-66 - Hila Gonen, Shauli Ravfogel, Yoav Goldberg:
Analyzing Gender Representation in Multilingual Models. 67-77 - Na Liu, Mark Dras, Wei Emma Zhang:
Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations. 78-90 - Md Mofijul Islam, Gustavo Aguilar, Pragaash Ponnusamy, Clint Solomon Mathialagan, Chengyuan Ma, Chenlei Guo:
A Vocabulary-Free Multilingual Neural Tokenizer for End-to-End Task Learning. 91-99 - Zhengxuan Wu, Nelson F. Liu, Christopher Potts:
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models. 100-110 - Ioannis Dikeoulias, Saadullah Amin, Günter Neumann:
Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic Representations. 111-120 - Changwook Jun, Hansol Jang, Myoseop Sim, Hyun Kim, Jooyoung Choi, Kyungkoo Min, Kyunghoon Bae:
ANNA": " Enhanced Language Representation for Question Answering. 121-132 - Sonal Sannigrahi, Jesse Read:
Isomorphic Cross-lingual Embeddings for Low-Resource Languages. 133-142 - Adnen Abdessaied, Ekta Sood, Andreas Bulling:
Video Language Co-Attention with Multimodal Fast-Learning Feature Fusion for VideoQA. 143-155 - Edoardo Mosca, Lukas Huber, Marc Alexander Kühn, Georg Groh:
Detecting Word-Level Adversarial Text Attacks via SHapley Additive exPlanations. 156-166 - Christian Johnson:
Binary Encoded Word Mover's Distance. 167-172 - Shaked Haim Meirom, Omer Bobrowski:
Unsupervised Geometric and Topological Approaches for Cross-Lingual Sentence Representation and Comparison. 173-183 - Hassan Soliman, Heike Adel, Mohamed H. Gad-Elrab, Dragan Milchevski, Jannik Strötgen:
A Study on Entity Linking Across Domains": " Which Data is Best for Fine-Tuning? 184-190 - Junshuai Song, Jiangshan Zhang, Jifeng Zhu, Mengyun Tang, Yong Yang:
TRAttack": " Text Rewriting Attack Against Text Retrieval. 191-203 - Christian Wartena:
On the Geometry of Concreteness. 204-212 - Daniil Gavrilov, Nikita Balagansky:
PALBERT: Teaching ALBERT to Ponder. 213-220 - Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Towards Improving Selective Prediction Ability of NLP Systems. 221-226 - Evgeniia Tokarchuk, Vlad Niculae:
On Target Representation in Continuous-output Neural Machine Translation. 227-235 - Shijie Wu, Benjamin Van Durme, Mark Dredze:
Zero-shot Cross-lingual Transfer is Under-specified Optimization. 236-248 - Anna Wegmann, Marijn Schraagen, Dong Nguyen:
Same Author or Just Same Topic? Towards Content-Independent Style Representations. 249-268 - Andreas Stephan, Benjamin Roth:
WeaNF: Weak Supervision with Normalizing Flows. 269-279
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-01-06 23:28 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
