173 citations · 496 across the 22 of their papers we have counts for
28 papers
Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation
Federico Betti, Jacopo Staiano, Lorenzo Baraldi +2
Research in Image Generation has recently made significant progress, particularly boosted by the introduction of Vision-Language models which are able to produce high-quality visua…
LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization
Laura Nguyen, Thomas Scialom, Benjamin Piwowarski +1
Text Summarization is a popular task and an active area of research for the Natural Language Processing community. By definition, it requires to account for long input texts, a cha…
Which Discriminator for Cooperative Text Generation?
Antoine Chaffin, Thomas Scialom, Sylvain Lamprier +4
Language models generate texts by successively predicting probability distributions for next tokens given past ones. A growing field of interest tries to leverage external informat…
Generative Cooperative Networks for Natural Language Generation
Sylvain Lamprier, Thomas Scialom, Antoine Chaffin +4
Generative Adversarial Networks (GANs) have known a tremendous success for many continuous generation tasks, especially in the field of image generation. However, for discrete outp…
Skim-Attention: Learning to Focus via Document Layout
Laura Nguyen, Thomas Scialom, Jacopo Staiano +1
Transformer-based pre-training techniques of text and layout have proven effective in a number of document understanding tasks. Despite this success, multimodal pre-training models…
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier +2
Due to the discrete nature of words, language GANs require to be optimized from rewards provided by discriminator networks, via reinforcement learning methods. This is a much harde…
Rethinking Automatic Evaluation in Sentence Simplification
Thomas Scialom, Louis Martin, Jacopo Staiano +2
Automatic evaluation remains an open research question in Natural Language Generation. In the context of Sentence Simplification, this is particularly challenging: the task require…
QuestEval: Summarization Asks for Fact-based Evaluation
Thomas Scialom, Paul-Alexis Dray, Patrick Gallinari +4
Summarization evaluation remains an open research problem: current metrics such as ROUGE are known to be limited and to correlate poorly with human judgments. To alleviate this iss…
Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation
Clément Rebuffel, Thomas Scialom, Laure Soulier +5
QuestEval is a reference-less metric used in text-to-text tasks, that compares the generated summaries directly to the source text, by automatically asking and answering questions.…
Toward Stance-based Personas for Opinionated Dialogues
Thomas Scialom, Serra Sinem Tekiroglu, Jacopo Staiano +1
In the context of chit-chat dialogues it has been shown that endowing systems with a persona profile is important to produce more coherent and meaningful conversations. Still, the…
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering
Arij Riabi, Thomas Scialom, Rachel Keraron +3
Coupled with the availability of large scale datasets, deep learning architectures have enabled rapid progress on the Question Answering task. However, most of those datasets are i…
Project PIAF: Building a Native French Question-Answering Dataset
Rachel Keraron, Guillaume Lancrenon, Mathilde Bras +5
Motivated by the lack of data for non-English languages, in particular for the evaluation of downstream tasks such as Question Answering, we present a participatory effort to colle…
ColdGANs: Taming Language GANs with Cautious Sampling Strategies
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier +2
Training regimes based on Maximum Likelihood Estimation (MLE) suffer from known limitations, often leading to poorly generated text sequences. At the root of these limitations is t…
MLSUM: The Multilingual Summarization Corpus
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier +2
We present MLSUM, the first large-scale MultiLingual SUMmarization dataset. Obtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages --…
What BERT Sees: Cross-Modal Transfer for Visual Question Generation
Thomas Scialom, Patrick Bordes, Paul-Alexis Dray +2
Pre-trained language models have recently contributed to significant advances in NLP tasks. Recently, multi-modal versions of BERT have been developed, using heavy pre-training rel…
Discriminative Adversarial Search for Abstractive Summarization
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier +2
We introduce a novel approach for sequence decoding, Discriminative Adversarial Search (DAS), which has the desirable properties of alleviating the effects of exposure bias without…
Ask to Learn: A Study on Curiosity-driven Question Generation
Thomas Scialom, Jacopo Staiano
We propose a novel text generation task, namely Curiosity-driven Question Generation. We start from the observation that the Question Generation task has traditionally been conside…
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski +1
Abstractive summarization approaches based on Reinforcement Learning (RL) have recently been proposed to overcome classical likelihood maximization. RL enables to consider complex,…
DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques
Oscar Araque, Lorenzo Gatti, Jacopo Staiano +1
Several lexica for sentiment analysis have been developed and made available in the NLP community. While most of these come with word polarity annotations (e.g. positive/negative),…
Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines
Youness Mansar, Lorenzo Gatti, Sira Ferradans +2
In this paper, we describe a methodology to infer Bullish or Bearish sentiment towards companies/brands. More specifically, our approach leverages affective lexica and word embeddi…
The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good
Bruno Lepri, Jacopo Staiano, David Sangokoya +2
The unprecedented availability of large-scale human behavioral data is profoundly changing the world we live in. Researchers, companies, governments, financial institutions, non-go…
The Death and Life of Great Italian Cities: A Mobile Phone Data Perspective
Marco De Nadai, Jacopo Staiano, Roberto Larcher +3
The Death and Life of Great American Cities was written in 1961 and is now one of the most influential book in city planning. In it, Jane Jacobs proposed four conditions that promo…
SALSA: A Novel Dataset for Multimodal Group Behavior Analysis
Xavier Alameda-Pineda, Jacopo Staiano, Ramanathan Subramanian +5
Studying free-standing conversational groups (FCGs) in unstructured social settings (e.g., cocktail party ) is gratifying due to the wealth of information available at the group (m…
Deep Feelings: A Massive Cross-Lingual Study on the Relation between Emotions and Virality
Marco Guerini, Jacopo Staiano
This article provides a comprehensive investigation on the relations between virality of news articles and the emotions they are found to evoke. Virality, in our view, is a phenome…