activity
20182022
most citedNeural Abstractive Unsupervised Summarization of Online News Discussions

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CL2022

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…

cs.CL2021

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…

cs.CL20211 cited

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…

cs.AI2021

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…

cs.IR2021

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…

cs.IR2018

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.…