ADAPT Centre

∙ Dublin , Ireland ∙ 0 followers

The ADAPT Centre combines the know-how of industry partners with the expertise of researchers at Trinity College Dublin, Dublin City University, University College Dublin, and Dublin Institute of Technology.

CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation

We analyze clouds in the earth's atmosphere using ground-based sky camer...
04/16/2019 ∙ by Soumyabrata Dev, et al. ∙ 22 ∙ share

read it
End-to-End Content and Plan Selection for Data-to-Text Generation

Learning to generate fluent natural language from structured data with n...
10/10/2018 ∙ by Sebastian Gehrmann, et al. ∙ 2 ∙ share

read it
A Set of Recommendations for Assessing Human-Machine Parity in Language Translation

The quality of machine translation has increased remarkably over the pas...
04/03/2020 ∙ by Samuel Läubli, et al. ∙ 2 ∙ share

read it
Any-gram Kernels for Sentence Classification: A Sentiment Analysis Case Study

Any-gram kernels are a flexible and efficient way to employ bag-of-n-gra...
12/19/2017 ∙ by Rasoul Kaljahi, et al. ∙ 0 ∙ share

read it
Exploiting Cross-Sentence Context for Neural Machine Translation

In translation, considering the document as a whole can help to resolve ...
04/14/2017 ∙ by Longyue Wang, et al. ∙ 0 ∙ share

read it
Doubly-Attentive Decoder for Multi-modal Neural Machine Translation

We introduce a Multi-modal Neural Machine Translation model in which a d...
02/04/2017 ∙ by Iacer Calixto, et al. ∙ 0 ∙ share

read it
Multilingual Multi-modal Embeddings for Natural Language Processing

We propose a novel discriminative model that learns embeddings from mult...
02/03/2017 ∙ by Iacer Calixto, et al. ∙ 0 ∙ share

read it
Incorporating Global Visual Features into Attention-Based Neural Machine Translation

We introduce multi-modal, attention-based neural machine translation (NM...
01/23/2017 ∙ by Iacer Calixto, et al. ∙ 0 ∙ share

read it
Machine Translation Evaluation: A Survey

We introduce the Machine Translation (MT) evaluation survey that contain...
05/15/2016 ∙ by Aaron Li-Feng Han, et al. ∙ 0 ∙ share

read it
Translating Pro-Drop Languages with Reconstruction Models

Pronouns are frequently omitted in pro-drop languages, such as Chinese, ...
01/10/2018 ∙ by Longyue Wang, et al. ∙ 0 ∙ share

read it
What Level of Quality can Neural Machine Translation Attain on Literary Text?

Given the rise of a new approach to MT, Neural MT (NMT), and its promisi...
01/15/2018 ∙ by Antonio Toral, et al. ∙ 0 ∙ share

read it
Chinese-Portuguese Machine Translation: A Study on Building Parallel Corpora from Comparable Texts

Although there are increasing and significant ties between China and Por...
04/05/2018 ∙ by Siyou Liu, et al. ∙ 0 ∙ share

read it
Generating High-Quality Surface Realizations Using Data Augmentation and Factored Sequence Models

This work presents a new state of the art in reconstruction of surface r...
05/20/2018 ∙ by Henry Elder, et al. ∙ 0 ∙ share

read it
Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction

Attention mechanisms are often used in deep neural networks for distantl...
09/03/2018 ∙ by Jinhua Du, et al. ∙ 0 ∙ share

read it
Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists

Language Models (LMs) are important components in several Natural Langua...
10/10/2018 ∙ by Giancarlo D. Salton, et al. ∙ 0 ∙ share

read it
Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism

Pronouns are frequently omitted in pro-drop languages, such as Chinese, ...
10/15/2018 ∙ by Longyue Wang, et al. ∙ 0 ∙ share

read it
TEST: A Terminology Extraction System for Technology Related Terms

Tracking developments in the highly dynamic data-technology landscape ar...
12/22/2018 ∙ by Murhaf Hossari, et al. ∙ 0 ∙ share

read it
What Makes a Good Conversation? Challenges in Designing Truly Conversational Agents

Conversational agents promise conversational interaction but fail to del...
01/19/2019 ∙ by Leigh Clark, et al. ∙ 0 ∙ share

read it
Predicting Stroke from Electronic Health Records

Studies have identified various risk factors associated with the onset o...
04/25/2019 ∙ by Chidozie Shamrock Nwosu, et al. ∙ 0 ∙ share

read it
Designing a Symbolic Intermediate Representation for Neural Surface Realization

Generated output from neural NLG systems often contain errors such as ha...
05/24/2019 ∙ by Henry Elder, et al. ∙ 0 ∙ share

read it
Using Mapping Languages for Building Legal Knowledge Graphs from XML Files

This paper presents our experience on building RDF knowledge graphs for ...
11/18/2019 ∙ by Ademar Crotti Junior, et al. ∙ 0 ∙ share

read it
Semantic Relatedness and Taxonomic Word Embeddings

This paper connects a series of papers dealing with taxonomic word embed...
02/14/2020 ∙ by Magdalena Kacmajor, et al. ∙ 0 ∙ share

read it
A Tool for Facilitating OCR Postediting in Historical Documents

Optical character recognition (OCR) for historical documents is a comple...
04/23/2020 ∙ by Alberto Poncelas, et al. ∙ 0 ∙ share

read it
Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation

Every day, more people are becoming infected and dying from exposure to ...
05/01/2020 ∙ by Andy Way, et al. ∙ 0 ∙ share

read it
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation

Machine translation (MT) has benefited from using synthetic training dat...
05/01/2020 ∙ by Xabier Soto, et al. ∙ 0 ∙ share

read it
Shape of synth to come: Why we should use synthetic data for English surface realization

The Surface Realization Shared Tasks of 2018 and 2019 were Natural Langu...
05/06/2020 ∙ by Henry Elder, et al. ∙ 0 ∙ share

read it
Treebank Embedding Vectors for Out-of-domain Dependency Parsing

A recent advance in monolingual dependency parsing is the idea of a tree...
05/02/2020 ∙ by Joachim Wagner, et al. ∙ 0 ∙ share

read it
Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning

Human society had a long history of suffering from cognitive biases lead...
05/14/2020 ∙ by Procheta Sen, et al. ∙ 0 ∙ share

read it
Response to LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts

Live video commenting systems are an emerging feature of online video si...
06/04/2020 ∙ by Hao Wu, et al. ∙ 0 ∙ share

read it
Finally a Case for Collaborative VR?: The Need to Design for Remote Multi-Party Conversations

Amid current social distancing measures requiring people to work from ho...
07/06/2020 ∙ by Anna Bleakley, et al. ∙ 0 ∙ share

read it

ADAPT Centre

Featured Researchers