125 citations · 366 across the 33 of their papers we have counts for
6 papers · 1 filter
EmoAtt at EmoInt-2017: Inner attention sentence embedding for Emotion Intensity
Edison Marrese-Taylor, Yutaka Matsuo
In this paper we describe a deep learning system that has been designed and built for the WASSA 2017 Emotion Intensity Shared Task. We introduce a representation learning approach…
Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNN
Edison Marrese-Taylor, Jorge A. Balazs, Yutaka Matsuo
Video reviews are the natural evolution of written product reviews. In this paper we target this phenomenon and introduce the first dataset created from closed captions of YouTube…
Refining Raw Sentence Representations for Textual Entailment Recognition via Attention
Jorge A. Balazs, Edison Marrese-Taylor, Pablo Loyola +1
In this paper we present the model used by the team Rivercorners for the 2017 RepEval shared task. First, our model separately encodes a pair of sentences into variable-length repr…
Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection
Mohammadamin Barekatain, Miquel Martí, Hsueh-Fu Shih +4
Despite significant progress in the development of human action detection datasets and algorithms, no current dataset is representative of real-world aerial view scenarios. We pres…
A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes
Pablo Loyola, Edison Marrese-Taylor, Yutaka Matsuo
We propose a model to automatically describe changes introduced in the source code of a program using natural language. Our method receives as input a set of code commits, which co…
Replication issues in syntax-based aspect extraction for opinion mining
Edison Marrese-Taylor, Yutaka Matsuo
Reproducing experiments is an important instrument to validate previous work and build upon existing approaches. It has been tackled numerous times in different areas of science. I…