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06/09/2023
Towards a Robust Detection of Language Model Generated Text: Is ChatGPT that Easy to Detect?
Recent advances in natural language processing (NLP) have led to the dev...
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06/02/2023
Data-Efficient French Language Modeling with CamemBERTa
Recent advances in NLP have significantly improved the performance of la...
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10/24/2022
Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models
Zero-shot cross-lingual transfer learning has been shown to be highly ch...
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06/22/2022
Towards Unsupervised Content Disentanglement in Sentence Representations via Syntactic Roles
Linking neural representations to linguistic factors is crucial in order...
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05/12/2022
Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs
We propose a generative model for text generation, which exhibits disent...
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12/28/2021
Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora
The problem of comparing two bodies of text and searching for words that...
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10/26/2021
Can Character-based Language Models Improve Downstream Task Performance in Low-Resource and Noisy Language Scenarios?
Recent impressive improvements in NLP, largely based on the success of c...
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10/24/2021
Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based Models
This work explores the capacities of character-based Neural Machine Tran...
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10/24/2021
Understanding the Impact of UGC Specificities on Translation Quality
This work takes a critical look at the evaluation of user-generated cont...
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10/16/2021
PAGnol: An Extra-Large French Generative Model
Access to large pre-trained models of varied architectures, in many diff...
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09/27/2021
Challenging the Semi-Supervised VAE Framework for Text Classification
Semi-Supervised Variational Autoencoders (SSVAEs) are widely used models...
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01/26/2021
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT
Multilingual pretrained language models have demonstrated remarkable zer...
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12/24/2020
QUACKIE: A NLP Classification Task With Ground Truth Explanations
NLP Interpretability aims to increase trust in model predictions. This m...
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12/24/2020
Sentence-Based Model Agnostic NLP Interpretability
Today, interpretability of Black-Box Natural Language Processing (NLP) m...
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12/24/2020
Disentangling semantics in language through VAEs and a certain architectural choice
We present an unsupervised method to obtain disentangled representations...
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11/03/2020
Treebanking User-Generated Content: a UD Based Overview of Guidelines, Corpora and Unified Recommendations
This article presents a discussion on the main linguistic phenomena whic...
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10/24/2020
When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models
Transfer learning based on pretraining language models on a large amount...
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10/23/2020
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering
Coupled with the availability of large scale datasets, deep learning arc...
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10/13/2020
Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting
Even though Variational Autoencoders (VAEs) are widely used for semi-sup...
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05/01/2020
Can Multilingual Language Models Transfer to an Unseen Dialect? A Case Study on North African Arabizi
Building natural language processing systems for non standardized and lo...
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11/10/2019
