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06/08/2023
T3L: Translate-and-Test Transfer Learning for Cross-Lingual Text Classification
Cross-lingual text classification leverages text classifiers trained in ...
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09/19/2022
Traffic incident duration prediction via a deep learning framework for text description encoding
Predicting the traffic incident duration is a hard problem to solve due ...
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03/06/2022
A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization
Multi-document summarization (MDS) has made significant progress in rece...
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06/08/2021
RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation
To date, most abstractive summarisation models have relied on variants o...
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06/04/2021
BERTTune: Fine-Tuning Neural Machine Translation with BERTScore
Neural machine translation models are often biased toward the limited tr...
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10/08/2020
Leveraging Discourse Rewards for Document-Level Neural Machine Translation
Document-level machine translation focuses on the translation of entire ...
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07/08/2020
Learning Neural Textual Representations for Citation Recommendation
With the rapid growth of the scientific literature, manually selecting a...
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09/30/2019
Regressing Word and Sentence Embeddings for Regularization of Neural Machine Translation
In recent years, neural machine translation (NMT) has become the dominan...
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04/04/2019
ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems
Regularization of neural machine translation is still a significant prob...
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07/01/2018
A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems
Automatic post-editing (APE) systems aim to correct the systematic error...
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06/29/2017
Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition
Background. Previous state-of-the-art systems on Drug Name Recognition (...
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11/25/2016
Bidirectional LSTM-CRF for Clinical Concept Extraction
Automated extraction of concepts from patient clinical records is an ess...
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07/30/2015
Action recognition in still images by latent superpixel classification
Action recognition from still images is an important task of computer vi...
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03/10/2015
An Adaptive Online HDP-HMM for Segmentation and Classification of Sequential Data
In the recent years, the desire and need to understand sequential data h...
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07/02/2013
