Manuel Montes

12 papers · 2009–2025 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Full

❓ The Questioner 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🌈 Renaissance Researcher (5)

Venues

NAACL (5) EACL (2) EMNLP (2) ACL (1) COLING (1) JMLR (1)

Top co-authors

Thamar Solorio (8) Hugo Jair Escalante (4) Fabio A. González (4) Steven Bethard (3) Suraj Maharjan (3) Upendra Sapkota (3) Paolo Rosso (2) Horacio Jarquín Vásquez (1) John Arevalo (1) Sudipta Kar (1)

Research topics

Machine Learning (8) Deep Learning (6) Architectures (6) Core Methods (6) Natural Language Processing (5) Applications (5) Learning Types (4) Healthcare & Medicine (2) Clinical (2) Interdisciplinary (1) Mathematics & Optimization (1) Optimization (1) Social (1) Techniques (1)

Keywords

text classification (5) multi-task learning (2) attention mechanism (2) abusive language detection (2) recurrent neural network (2) natural language processing (1) feature selection (1) contextual attention (1) sequence representation (1) authorship attribution (1) deep learning (1) document representation (1) model interpretability (1) feature weighting (1) convolutional neural network (1) feature engineering (1) particle swarm optimization (1) social media (1) depression detection (1) twitter post (1)

Papers

GAttention: Gated Attention for the Detection of Abusive Language EMNLP 2025 Self-Contextualized Attention for Abusive Language Identification NAACL 2021 UACH-INAOE at SMM4H: a BERT based approach for classification of COVID-19 Twitter posts NAACL 2021 A Genre-Aware Attention Model to Improve the Likability Prediction of Books EMNLP 2018 Early Text Classification Using Multi-Resolution Concept Representations NAACL 2018 Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books NAACL 2018 A Multi-task Approach to Predict Likability of Books EACL 2017 Convolutional Neural Networks for Authorship Attribution of Short Texts EACL 2017 Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning ACL 2016 Not All Character N-grams Are Created Equal: A Study in Authorship Attribution NAACL 2015 Cross-Topic Authorship Attribution: Will Out-Of-Topic Data Help? COLING 2014 Particle Swarm Model Selection JMLR 2009