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Found 6 papers, 0 papers with code
Keyphrase Generation with GANs in Low-Resources Scenarios
Keyphrase Generation is the task of predicting Keyphrases (KPs), short phrases that summarize the semantic meaning of a given document.
Text-to-Image Synthesis Based on Machine Generated Captions
To address this issue, in this paper we propose an approach capable of generating images starting from a given text using conditional GANs trained on uncaptioned images dataset.
Video-Based Convolutional Attention for Person Re-Identification
In this paper we consider the problem of video-based person re-identification, which is the task of associating videos of the same person captured by different and non-overlapping cameras.
Predicting the Usefulness of Amazon Reviews Using Off-The-Shelf Argumentation Mining
Internet users generate content at unprecedented rates.
Exploiting and Evaluating a Supervised, Multilanguage Keyphrase Extraction pipeline for under-resourced languages
On the five languages we analyzed, results show an improvement in performance when using a machine learning algorithm, even if such algorithm is not trained and tested on the same language.
Evaluating anaphora and coreference resolution to improve automatic keyphrase extraction
In order to verify the impact of these features, we define a baseline keyphrase extraction system and evaluate its performance on a standard dataset using different machine learning algorithms.
