Concept
Sac de mots
Publications associées (23)
Natural Language Processing (NLP) driven categorisation and detection of discourse in historical US patents
Jérôme Baudry, Nicolas Christophe Chachereau, Bhargav Srinivasa Desikan, Prakhar Gupta
Patents have traditionally been used in the history of technology as an indication of the thinking process of the inventors, of the challenges or “reverse salients” they faced, or of the social groups influencing the construction of technology. More recent ...
2022Ten seconds of my nights: Exploring methods to measure brightness, loudness and attendance and their associations with alcohol use from video clips
Daniel Gatica-Perez, Skanda Muralidhar, Lakmal Buddika Meegahapola
Introduction Most evidence on associations between alcohol use behaviors and the characteristics of its social and physical context is based on self-reports from study participants and, thus, only account for their subjective impressions of the situation. ...
PUBLIC LIBRARY SCIENCE2021War of Words: The Competitive Dynamics of Legislative Processes
Patrick Thiran, Matthias Grossglauser, Victor Kristof
A body of law is an example of a dynamic corpus of text documents that are jointly maintained by a group of editors who compete and collaborate in complex constellations. Our goal is to develop predictive models for this process, thereby shedding light on ...
ACM / IW3C2 (International World Wide Web Conference Committee)2020Social babbling: The emergence of symbolic gestures and words
Aude Billard, Laura Bénédicte Marine Cohen
Language acquisition theories classically distinguish passive language understanding from active language production. However, recent findings show that brain areas such as Broca's region are shared in language understanding and production. Furthermore, th ...
PERGAMON-ELSEVIER SCIENCE LTD2018Cross-lingual Transfer for News Article Labeling: Benchmarking Statistical and Neural Models
Andrei Popescu-Belis, Nikolaos Pappas, Khalil Mrini
Cross-lingual transfer has been shown to increase the performance of a text classification model thanks to the use of Multilingual Hierarchical Attention Networks (MHAN), on which this work is based. Firstly, we compared the performance of monolingual and ...
Idiap2017N-gram-Based Low-Dimensional Representation for Document Classification
Rémi Philippe Lebret, Ronan Collobert
The bag-of-words (BOW) model is the common approach for classifying documents, where words are used as feature for training a classifier. This generally involves a huge number of features. Some techniques, such as Latent Semantic Analysis (LSA) or Latent D ...
2015"The Sum of Its Parts": Joint Learning of Word and Phrase Representations with Autoencoders
Rémi Philippe Lebret, Ronan Collobert
Recently, there has been a lot of effort to represent words in continuous vector spaces. Those representations have been shown to capture both semantic and syntactic information about words. However, distributed representations of phrases remain a challeng ...
Idiap2015Rehabilitation of Count-based Models for Word Vector Representations
Rémi Philippe Lebret, Ronan Collobert
Recent works on word representations mostly rely on predictive models. Distributed word representations (aka word embeddings) are trained to optimally predict the contexts in which the corresponding words tend to appear. Such models have succeeded in captu ...
Springer International Publishing2015