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Retrieve Fast, Rerank Smart: Cooperative and Joint Approaches for Improved Cross-Modal Retrieval
Current state-of-the-art approaches to cross-modal retrieval process tex...
03/22/2021 ∙ by Gregor Geigle, et al. ∙
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How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models
In this work we provide a systematic empirical comparison of pretrained ...
12/31/2020 ∙ by Phillip Rust, et al. ∙
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UNKs Everywhere: Adapting Multilingual Language Models to New Scripts
Massively multilingual language models such as multilingual BERT (mBERT)...
12/31/2020 ∙ by Jonas Pfeiffer, et al. ∙
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AdapterDrop: On the Efficiency of Adapters in Transformers
Massively pre-trained transformer models are computationally expensive t...
10/22/2020 ∙ by Andreas Rücklé, et al. ∙
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MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale
We study the zero-shot transfer capabilities of text matching models on ...
10/02/2020 ∙ by Andreas Rücklé, et al. ∙
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AdapterHub: A Framework for Adapting Transformers
The current modus operandi in NLP involves downloading and fine-tuning p...
07/15/2020 ∙ by Jonas Pfeiffer, et al. ∙
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Low Resource Multi-Task Sequence Tagging – Revisiting Dynamic Conditional Random Fields
We compare different models for low resource multi-task sequence tagging...
05/01/2020 ∙ by Jonas Pfeiffer, et al. ∙
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AdapterFusion: Non-Destructive Task Composition for Transfer Learning
Current approaches to solving classification tasks in NLP involve fine-t...
05/01/2020 ∙ by Jonas Pfeiffer, et al. ∙
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MAD-X: An Adapter-based Framework for Multi-task Cross-lingual Transfer
The main goal behind state-of-the-art pretrained multilingual models suc...
04/30/2020 ∙ by Jonas Pfeiffer, et al. ∙
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Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels
This paper presents the CUNLP submission for the NLP4IF 2019 shared-task...
10/22/2019 ∙ by Tariq Alhindi, et al. ∙
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What do Deep Networks Like to Read?
Recent research towards understanding neural networks probes models in a...
09/10/2019 ∙ by Jonas Pfeiffer, et al. ∙
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FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning
Our proposed system FAMULUS helps students learn to diagnose based on au...
08/29/2019 ∙ by Jonas Pfeiffer, et al. ∙
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