Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding

Abstractive community detection is an important spoken language understanding task, whose goal is to group utterances in a conversation according to whether they can be jointly summarized by a common abstractive sentence. This paper provides a novel approach to this task. We first introduce a neural contextual utterance encoder featuring three types of self-attention mechanisms. We then train it using the siamese and triplet energy-based meta-architectures. Experiments on the AMI corpus show that our system outperforms multiple energy-based and non-energy based baselines from the state-of-the-art. Code and data are publicly available.Comment: Update baseline

Kernel Graph Convolutional Neural Networks

Graph kernels have been successfully applied to many graph classification problems. Typically, a kernel is first designed, and then an SVM classifier is trained based on the features defined implicitly by this kernel. This two-stage approach decouples data representation from learning, which is suboptimal. On the other hand, Convolutional Neural Networks (CNNs) have the capability to learn their own features directly from the raw data during training. Unfortunately, they cannot handle irregular data such as graphs. We address this challenge by using graph kernels to embed meaningful local neighborhoods of the graphs in a continuous vector space. A set of filters is then convolved with these patches, pooled, and the output is then passed to a feedforward network. With limited parameter tuning, our approach outperforms strong baselines on 7 out of 10 benchmark datasets.Comment: Accepted at ICANN '1

Speaker-change Aware CRF for Dialogue Act Classification

Recent work in Dialogue Act (DA) classification approaches the task as a sequence labeling problem, using neural network models coupled with a Conditional Random Field (CRF) as the last layer. CRF models the conditional probability of the target DA label sequence given the input utterance sequence. However, the task involves another important input sequence, that of speakers, which is ignored by previous work. To address this limitation, this paper proposes a simple modification of the CRF layer that takes speaker-change into account. Experiments on the SwDA corpus show that our modified CRF layer outperforms the original one, with very wide margins for some DA labels. Further, visualizations demonstrate that our CRF layer can learn meaningful, sophisticated transition patterns between DA label pairs conditioned on speaker-change in an end-to-end way. Code is publicly available

Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization

International audienc

Cinémas libertaires

"Puisque s'avérait photogénique ce qui bouge, ce qui mue, ce qui vient pour remplacer ce qui va avoir été, la photogénie, en qualité de règle fondamentale, vouait d'office le nouvel art au service des forces de transgression et de révolte." Jean Epstein, Le Cinéma du Diable (1947). Les contributeurs de cet ouvrage, parmi lesquels de nombreux cinéastes et plasticiens, explorent le corpus méconnu des films issus des idéaux libertaires, depuis la lutte armée jusqu'aux pensées de la non-violence. Il décrit la diversité des pratiques inventées par les réalisateurs engagés ; les formes spécifiques nées de films revendiquant une action concrète, que celle-ci soit d'ordre révolutionnaire, pédagogique ou simplement émancipatrice ; les puissances de déplacement, de destruction et de proposition théorique dynamisées par l'esprit anarchiste. Il met en circulation des documents rares ou inédits concernant l'histoire des cinémas libertaires et la parole de certaines de ses figures parmi les plus créatrices, enthousiasmantes, libératrices.Libertarian Cinema: In The Service of the Forces of Transgression and Revolt explores the history of films, most of them unknown or underevaluated, inspired by anarchist ideals, from armed struggle to non-violent direct action

[2021 update of the GEFPICS’ recommendations for HER2 status assessment in invasive breast cancer in France]

International audienceThe last international guidelines on HER2 determination in breast cancer have been updated in 2018 by the American Society of Clinical Oncology and College of American Pathologists, on the basis of a twenty-year practice and results of numerous clinical trials. Moreover, the emerging HER2-low concept for 1+ and 2+ non amplified breast cancers lead to refine French practices for HER2 status assessment. The GEFPICS group, composed of expert pathologists, herein presents the latest French recommendations for HER2 status evaluation in breast cancer, taking into account the ASCO/CAP guidelines and introducing the HER2-low concept. In the era of personalized medicine, HER2 status assessment remains one of the most important biomarkers in breast cancer and its quality guaranties the optimal patients' care. French pathologists' commitment in theranostic biomarker quality is more than ever required to provide the most efficient cares in oncology.Les dernières recommandations internationales pour l’évaluation du statut HER2 dans les cancers du sein, basées sur vingt ans d’expérience et sur les résultats de nombreuses études cliniques, ont vu le jour en 2018. D’autre part, la notion émergente de catégorie HER2 faible pour les cancers du sein de score 1+ en immunohistochimie ou de score 2+ sans amplification du gène HER2 en hybridation in situ invite à adapter les pratiques des pathologistes français. Ces modifications importantes et les bouleversements à venir sont l’occasion, pour le GEFPICS, de proposer une mise à jour des recommandations françaises pour l’évaluation du statut HER2 dans les cancers du sein. À l’ère de la médecine personnalisée, la détermination du statut HER2 reste un élément phare dans le panel des biomarqueurs théranostiques des cancers du sein, et sa bonne évaluation est garante d’une prise en charge optimale des patientes atteintes de cancer du sein. L’implication des pathologistes français dans la qualité des tests théranostiques témoigne de leur rôle essentiel dans la prise en charge des patients en cancérologie

Protection agroécologique des cultures pour une production agricole durable

International audienceCrop losses from pests threaten global food security and safety. In the last six decades, pest control using chemical pesticides has resulted in important yield gains per unit area, worldwide. However, the long-term sustainability of chemical pest control has been increasingly thrown into doubt due to the negative impact on human health, biodiversity, and the environment. Consequently, there is an urgent need to improve the science of crop protection in order to tackle the five key challenges of 21st century agriculture holistically: (i) maintaining or improving agricultural productivity, (ii) producing healthy food, (iii) reducing the negative impacts of agriculture on ecosystem and human health, (iv) ensuring the economic viability of farms, and (v) adapting agriculture to climate change. Agroecological Crop Protection (ACP) can be a powerful approach to address these challenges, as we demonstrate in this paper. ACP is the application of the principles of agroecology to crop protection in order to promote virtuous and sustainable changes in agriculture and food systems. ACP combines multiple approaches and disciplines including ecology, agroecology, and Integrated Pest Management. It promotes a crop protection system compatible with healthy agricultural and food systems, agroecological principles and the “one health” approach. We predict that ACP will meet the challenge of pesticide-free agriculture in the future. In this paper, we will first present the scientific, agricultural and social components of ACP. We will then analyze the research approaches, questions, methods and tools needed to adopt ACP. Finally, we suggest key mechanisms to facilitate the transition to ACP, which will ultimately provide sustainable food, feed, and fuel in a context of major global change