Publications related to Bag-of-words model

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 ...

2022

Ten 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 SCIENCE2021

War 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)2020

Crosslingual Document Embedding as Reduced-Rank Ridge Regression

Martin Jaggi, Robert West, Martin Josifoski, Ivan Paskov

There has recently been much interest in extending vector-based word representations to multiple languages, such that words can be compared across languages. In this paper, we shift the focus from words to documents and introduce a method for embedding doc ...

2019

Social 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 LTD2018

Cross-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 ...

Idiap2017

N-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 ...

Idiap2015

Rehabilitation 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

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Bag-of-words model

Natural Language Processing (NLP) driven categorisation and detection of discourse in historical US patents

Ten seconds of my nights: Exploring methods to measure brightness, loudness and attendance and their associations with alcohol use from video clips

War of Words: The Competitive Dynamics of Legislative Processes

Crosslingual Document Embedding as Reduced-Rank Ridge Regression

Social babbling: The emergence of symbolic gestures and words

Cross-lingual Transfer for News Article Labeling: Benchmarking Statistical and Neural Models

N-gram-Based Low-Dimensional Representation for Document Classification

"The Sum of Its Parts": Joint Learning of Word and Phrase Representations with Autoencoders

Rehabilitation of Count-based Models for Word Vector Representations

Discourse-level features for statistical machine translation

Graph Chatbot

Chat with Graph Search

Natural Language Processing (NLP) driven categorisation and detection of discourse in historical US patents

Crosslingual Document Embedding as Reduced-Rank Ridge Regression

Discourse-level features for statistical machine translation

N-gram-Based Low-Dimensional Representation for Document Classification

"The Sum of Its Parts": Joint Learning of Word and Phrase Representations with Autoencoders

Rehabilitation of Count-based Models for Word Vector Representations

Ten seconds of my nights: Exploring methods to measure brightness, loudness and attendance and their associations with alcohol use from video clips

Social babbling: The emergence of symbolic gestures and words

War of Words: The Competitive Dynamics of Legislative Processes

Cross-lingual Transfer for News Article Labeling: Benchmarking Statistical and Neural Models