53 citations · 108 across the 4 of their papers we have counts for
7 papers
Deep Bag-of-Sub-Emotions for Depression Detection in Social Media
Juan S. Lara, Mario Ezra Aragon, Fabio A. Gonzalez +1
This paper presents the Deep Bag-of-Sub-Emotions (DeepBoSE), a novel deep learning model for depression detection in social media. The model is formulated such that it internally c…
The performance evaluation of Multi-representation in the Deep Learning models for Relation Extraction Task
Jefferson A. Peña Torres, Raul Ernesto Gutierrez, Victor A. Bucheli +1
Single implementing, concatenating, adding or replacing of the representations has yielded significant improvements on many NLP tasks. Mainly in Relation Extraction where static, c…
Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media
Gustavo Aguilar, A. Pastor López-Monroy, Fabio A. González +1
Recognizing named entities in a document is a key task in many NLP applications. Although current state-of-the-art approaches to this task reach a high performance on clean text (e…
Quantum Latent Semantic Analysis
Fabio A. González, Juan C. Caicedo
The main goal of this paper is to explore latent topic analysis (LTA), in the context of quantum information retrieval. LTA is a valuable technique for document analysis and repres…
Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books
Suraj Maharjan, Sudipta Kar, Manuel Montes-y-Gomez +2
Books have the power to make us feel happiness, sadness, pain, surprise, or sorrow. An author's dexterity in the use of these emotions captivates readers and makes it difficult for…
Gated Multimodal Units for Information Fusion
John Arevalo, Thamar Solorio, Manuel Montes-y-Gómez +1
This paper presents a novel model for multimodal learning based on gated neural networks. The Gated Multimodal Unit (GMU) model is intended to be used as an internal unit in a neur…