Search Results for author: Farhad Bin Siddique

Found 9 papers, 2 papers with code

Nora: The Well-Being Coach

no code implementations1 Jun 2021 Genta Indra Winata, Holy Lovenia, Etsuko Ishii, Farhad Bin Siddique, Yongsheng Yang, Pascale Fung

The current pandemic has forced people globally to remain in isolation and practice social distancing, which creates the need for a system to combat the resulting loneliness and negative emotions.

Natural Language Understanding

CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management

1 code implementation EMNLP (NLP-COVID19) 2020 Dan Su, Yan Xu, Tiezheng Yu, Farhad Bin Siddique, Elham J. Barezi, Pascale Fung

We present CAiRE-COVID, a real-time question answering (QA) and multi-document summarization system, which won one of the 10 tasks in the Kaggle COVID-19 Open Research Dataset Challenge, judged by medical experts.

Document Summarization Information Retrieval +3

GlobalTrait: Personality Alignment of Multilingual Word Embeddings

no code implementations1 Nov 2018 Farhad Bin Siddique, Dario Bertero, Pascale Fung

We propose a multilingual model to recognize Big Five Personality traits from text data in four different languages: English, Spanish, Dutch and Italian.

Multilingual Word Embeddings

Zara: A Virtual Interactive Dialogue System Incorporating Emotion, Sentiment and Personality Recognition

no code implementations COLING 2016 Pascale Fung, Anik Dey, Farhad Bin Siddique, Ruixi Lin, Yang Yang, Dario Bertero, Yan Wan, Ricky Ho Yin Chan, Chien-Sheng Wu

Zara, or {`}Zara the Supergirl{'} is a virtual robot, that can exhibit empathy while interacting with an user, with the aid of its built in facial and emotion recognition, sentiment analysis, and speech module.

Emotion Recognition Feature Engineering +3

Towards Empathetic Human-Robot Interactions

no code implementations13 May 2016 Pascale Fung, Dario Bertero, Yan Wan, Anik Dey, Ricky Ho Yin Chan, Farhad Bin Siddique, Yang Yang, Chien-Sheng Wu, Ruixi Lin

Although research on empathetic robots is still in the early stage, we described our approach using signal processing techniques, sentiment analysis and machine learning algorithms to make robots that can "understand" human emotion.

Sentiment Analysis

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