8 citations · 10 across the 8 of their papers we have counts for
12 papers
Measuring the Predictability of Recommender Systems using Structural Complexity Metrics
Andrés Abeliuk, Alfonso Valderrama, Simón Campos +1
Recommender Systems (RS) shape the filtering and curation of online content, yet we have limited understanding of how predictable their recommendation outputs are. We propose data-…
Evaluation Benchmarks for Spanish Sentence Representations
Vladimir Araujo, Andrés Carvallo, Souvik Kundu +6
Due to the success of pre-trained language models, versions of languages other than English have been released in recent years. This fact implies the need for resources to evaluate…
Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations
Vladimir Araujo, Andrés Villa, Marcelo Mendoza +2
Current language models are usually trained using a self-supervised scheme, where the main focus is learning representations at the word or sentence level. However, there has been…
Neural Abstractive Unsupervised Summarization of Online News Discussions
Ignacio Tampe Palma, Marcelo Mendoza, Evangelos Milios
Summarization has usually relied on gold standard summaries to train extractive or abstractive models. Social media brings a hurdle to summarization techniques since it requires ad…
Inspecting the concept knowledge graph encoded by modern language models
Carlos Aspillaga, Marcelo Mendoza, Alvaro Soto
The field of natural language understanding has experienced exponential progress in the last few years, with impressive results in several tasks. This success has motivated researc…
A data-driven strategy to combine word embeddings in information retrieval
Alfredo Silva, Marcelo Mendoza
Word embeddings are vital descriptors of words in unigram representations of documents for many tasks in natural language processing and information retrieval. The representation o…
Viscovery: Trend Tracking in Opinion Forums based on Dynamic Topic Models
Ignacio Espinoza, Marcelo Mendoza, Pablo Ortega +2
Opinions in forums and social networks are released by millions of people due to the increasing number of users that use Web 2.0 platforms to opine about brands and organizations.…
Revisiting Link Prediction: Evolving Models and Real Data Findings
Marcelo Mendoza, Matías Estrada
The explosive growth of Web 2.0, which was characterized by the creation of online social networks, has reignited the study of factors that could help us understand the growth and…
The Research Space: using the career paths of scholars to predict the evolution of the research output of individuals, institutions, and nations
Miguel R. Guevara, Dominik Hartmann, Manuel Aristarán +2
In recent years scholars have built maps of science by connecting the academic fields that cite each other, are cited together, or that cite a similar literature. But since scholar…
Revealing Comparative Advantages in the Backbone of Science
Miguel Guevara, Marcelo Mendoza
Mapping Science across countries is a challenging task in the field of Scientometrics. A number of efforts trying to cope with this task has been discussed in the state of the art,…
Affinity Prediction in Online Social Networks
Matias Estrada, Marcelo Mendoza
Link prediction is the problem of inferring whether potential edges between pairs of vertices in a graph will be present or absent in the near future. To perform this task it is us…
Says who? Automatic Text-Based Content Analysis of Television News
Carlos Castillo, Gianmarco De Francisci Morales, Marcelo Mendoza +1
We perform an automatic analysis of television news programs, based on the closed captions that accompany them. Specifically, we collect all the news broadcasted in over 140 televi…