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CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation
We analyze clouds in the earth's atmosphere using ground-based sky camer...
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End-to-End Content and Plan Selection for Data-to-Text Generation
Learning to generate fluent natural language from structured data with n...
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A Set of Recommendations for Assessing Human-Machine Parity in Language Translation
The quality of machine translation has increased remarkably over the pas...
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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...
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Exploiting Cross-Sentence Context for Neural Machine Translation
In translation, considering the document as a whole can help to resolve ...
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Doubly-Attentive Decoder for Multi-modal Neural Machine Translation
We introduce a Multi-modal Neural Machine Translation model in which a d...
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Multilingual Multi-modal Embeddings for Natural Language Processing
We propose a novel discriminative model that learns embeddings from mult...
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Incorporating Global Visual Features into Attention-Based Neural Machine Translation
We introduce multi-modal, attention-based neural machine translation (NM...
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Machine Translation Evaluation: A Survey
We introduce the Machine Translation (MT) evaluation survey that contain...
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Translating Pro-Drop Languages with Reconstruction Models
Pronouns are frequently omitted in pro-drop languages, such as Chinese, ...
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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...
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Chinese-Portuguese Machine Translation: A Study on Building Parallel Corpora from Comparable Texts
Although there are increasing and significant ties between China and Por...
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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...
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Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction
Attention mechanisms are often used in deep neural networks for distantl...
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Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists
Language Models (LMs) are important components in several Natural Langua...
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Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism
Pronouns are frequently omitted in pro-drop languages, such as Chinese, ...
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TEST: A Terminology Extraction System for Technology Related Terms
Tracking developments in the highly dynamic data-technology landscape ar...
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What Makes a Good Conversation? Challenges in Designing Truly Conversational Agents
Conversational agents promise conversational interaction but fail to del...
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Predicting Stroke from Electronic Health Records
Studies have identified various risk factors associated with the onset o...
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Designing a Symbolic Intermediate Representation for Neural Surface Realization
Generated output from neural NLG systems often contain errors such as ha...
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Using Mapping Languages for Building Legal Knowledge Graphs from XML Files
This paper presents our experience on building RDF knowledge graphs for ...
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Semantic Relatedness and Taxonomic Word Embeddings
This paper connects a series of papers dealing with taxonomic word embed...
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A Tool for Facilitating OCR Postediting in Historical Documents
Optical character recognition (OCR) for historical documents is a comple...
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Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation
Every day, more people are becoming infected and dying from exposure to ...
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Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation
Machine translation (MT) has benefited from using synthetic training dat...
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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...
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Treebank Embedding Vectors for Out-of-domain Dependency Parsing
A recent advance in monolingual dependency parsing is the idea of a tree...
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Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning
Human society had a long history of suffering from cognitive biases lead...
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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...
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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...
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