Search Results for author: Dat Tien Nguyen

Found 10 papers, 2 papers with code

From FiLM to Video: Multi-turn Question Answering with Multi-modal Context

no code implementations17 Dec 2018 Dat Tien Nguyen, Shikhar Sharma, Hannes Schulz, Layla El Asri

Understanding audio-visual content and the ability to have an informative conversation about it have both been challenging areas for intelligent systems.

Question Answering

Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach

1 code implementation ACL 2018 Tasnim Mohiuddin, Shafiq Joty, Dat Tien Nguyen

We propose a novel coherence model for written asynchronous conversations (e. g., forums, emails), and show its applications in coherence assessment and thread reconstruction tasks.

A Neural Local Coherence Model

1 code implementation ACL 2017 Dat Tien Nguyen, Shafiq Joty

We propose a local coherence model based on a convolutional neural network that operates over the entity grid representation of a text.

Text Generation

Automatic Image Filtering on Social Networks Using Deep Learning and Perceptual Hashing During Crises

no code implementations9 Apr 2017 Dat Tien Nguyen, Firoj Alam, Ferda Ofli, Muhammad Imran

The extensive use of social media platforms, especially during disasters, creates unique opportunities for humanitarian organizations to gain situational awareness and launch relief operations accordingly.

Humanitarian

Applications of Online Deep Learning for Crisis Response Using Social Media Information

no code implementations4 Oct 2016 Dat Tien Nguyen, Shafiq Joty, Muhammad Imran, Hassan Sajjad, Prasenjit Mitra

During natural or man-made disasters, humanitarian response organizations look for useful information to support their decision-making processes.

Decision Making Disaster Response +3

Rapid Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks

no code implementations12 Aug 2016 Dat Tien Nguyen, Kamela Ali Al Mannai, Shafiq Joty, Hassan Sajjad, Muhammad Imran, Prasenjit Mitra

The current state-of-the-art classification methods require a significant amount of labeled data specific to a particular event for training plus a lot of feature engineering to achieve best results.

BIG-bench Machine Learning Classification +2

Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation

no code implementations10 Jun 2015 Angeliki Lazaridou, Dat Tien Nguyen, Raffaella Bernardi, Marco Baroni

We introduce language-driven image generation, the task of generating an image visualizing the semantic contents of a word embedding, e. g., given the word embedding of grasshopper, we generate a natural image of a grasshopper.

Image Generation Word Embeddings

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