Search Results for author:
Found 22 papers, 3 papers with code
Semantic Context Path Labeling for Semantic Exploration of User Reviews
In this paper we present a prototype demonstrator showcasing a novel method to perform semantic exploration of user reviews.
SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages
In recent years, multilingual machine translation models have achieved promising performance on low-resource language pairs by sharing information between similar languages, thus enabling zero-shot translation.
What Do Compressed Multilingual Machine Translation Models Forget?
In this work, we assess the impact of compression methods on Multilingual Neural Machine Translation models (MNMT) for various language groups, gender, and semantic biases by extensive analysis of compressed models on different machine translation benchmarks, i. e. FLORES-101, MT-Gender, and DiBiMT.
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained on.
Aspect Based Sentiment Analysis into the Wild
In this paper, we test state-of-the-art Aspect Based Sentiment Analysis (ABSA) systems trained on a widely used dataset on actual data.
Transfert de ressources s\'emantiques pour l'analyse de sentiments au niveau des aspects (In this paper, we address the problem of automatic polarity detection in the context of Aspect Based)
Les informations s{\'e}mantiques riches sont alors extraites de la langue cible par le syst{\`e}me de d{\'e}tection de polarit{\'e}, et ces informations sont ensuite align{\'e}es vers la langue source.
Toward Automatic Understanding of the Function of Affective Language in Support Groups
Understanding expressions of emotions in support forums has considerable value and NLP methods are key to automating this.
Un syst\`eme hybride pour l'analyse de sentiments associ\'es aux aspects
Nous pr{\'e}sentons la t{\^a}che et d{\'e}crivons pr{\'e}cis{\'e}ment notre syst{\`e}me qui consiste en une combinaison de composants linguistiques et de modules de classification.
Etude de l'image de marque d'entit\'es dans le cadre d'une plateforme de veille sur le Web social
Ce travail concerne l{'}int{\'e}gration {\`a} une plateforme de veille sur internet d{'}outils permettant l{'}analyse des opinions {\'e}mises par les internautes {\`a} propos d{'}une entit{\'e}, ainsi que la mani{\`e}re dont elles {\'e}voluent dans le temps.
Investigating the Image of Entities in Social Media: Dataset Design and First Results
The objective of this paper is to describe the design of a dataset that deals with the image (i. e., representation, web reputation) of various entities populating the Internet: politicians, celebrities, companies, brands etc.
