activity
20172023
most citedMining fine-grained opinions on closed captions of YouTube videos with an attention-RNN

3 citations · 10 across the 5 of their papers we have counts for

collaborators

16 papers

cs.CL20233 cited

Perceptual Structure in the Absence of Grounding for LLMs: The Impact of Abstractedness and Subjectivity in Color Language

Pablo Loyola, Edison Marrese-Taylor, Andres Hoyos-Idobro

The need for grounding in language understanding is an active research topic. Previous work has suggested that color perception and color language appear as a suitable test bed to…

cs.CL2021

Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers

Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo

Transformers have shown improved performance when compared to previous architectures for sequence processing such as RNNs. Despite their sizeable performance gains, as recently sug…

cs.CV2020

DORi: Discovering Object Relationship for Moment Localization of a Natural-Language Query in Video

Cristian Rodriguez-Opazo, Edison Marrese-Taylor, Basura Fernando +2

This paper studies the task of temporal moment localization in a long untrimmed video using natural language query. Given a query sentence, the goal is to determine the start and e…

cs.CL2020

VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling

Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo

In this paper, we tackle the task of definition modeling, where the goal is to learn to generate definitions of words and phrases. Existing approaches for this task are discriminat…

cs.CL2020

A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews

Edison Marrese-Taylor, Cristian Rodriguez-Opazo, Jorge A. Balazs +2

Despite the recent advances in opinion mining for written reviews, few works have tackled the problem on other sources of reviews. In light of this issue, we propose a multi-modal…

cs.CL20202 cited

Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages

Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo

The contrast between the need for large amounts of data for current Natural Language Processing (NLP) techniques, and the lack thereof, is accentuated in the case of African langua…