no code implementations • WS 2019 • Segun Taofeek Aroyehun, Alex Gelbukh, er
This paper details our approach to the task of detecting reportage of adverse drug reaction in tweets as part of the 2019 social media mining for healthcare applications shared task.
no code implementations • SEMEVAL 2019 • Iqra Ameer, Muhammad Hammad Fahim Siddiqui, Grigori Sidorov, Alex Gelbukh, er
The goal of this paper is to detect (A) Hate speech against immigrants and women, (B) Aggressive behavior and target classification, both for English and Spanish.
1 code implementation • EMNLP 2018 • Navonil Majumder, Soujanya Poria, Alex Gelbukh, er, Md. Shad Akhtar, Erik Cambria, Asif Ekbal
Sentiment analysis has immense implications in e-commerce through user feedback mining.
no code implementations • WS 2018 • Segun Taofeek Aroyehun, Alex Gelbukh, er
We describe our submissions to the Third Social Media Mining for Health Applications Shared Task.
no code implementations • COLING 2018 • Segun Taofeek Aroyehun, Alex Gelbukh, er
On this task, we investigate the efficacy of deep neural network models of varying complexity.
no code implementations • WS 2018 • Segun Taofeek Aroyehun, Jason Angel, Daniel Alej P{\'e}rez Alvarez, ro, Alex Gelbukh, er
We describe the systems of NLP-CIC team that participated in the Complex Word Identification (CWI) 2018 shared task.
no code implementations • IJCNLP 2017 • Somnath Banerjee, Partha Pakray, Riyanka Manna, Dipankar Das, Alex Gelbukh, er
In this paper, we describe a deep learning framework for analyzing the customer feedback as part of our participation in the shared task on Customer Feedback Analysis at the 8th International Joint Conference on Natural Language Processing (IJCNLP 2017).