1 citations · 1 across the 4 of their papers we have counts for
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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…