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Semantically Driven Sentence Fusion: Modeling and Evaluation
Sentence fusion is the task of joining related sentences into coherent t...
10/06/2020 ∙ by Eyal Ben-David, et al. ∙
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Unsupervised Text Style Transfer with Padded Masked Language Models
We propose Masker, an unsupervised text-editing method for style transfe...
10/02/2020 ∙ by Eric Malmi, et al. ∙
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Conditional Rap Lyrics Generation with Denoising Autoencoders
We develop a method for automatically synthesizing a rap verse given an ...
04/08/2020 ∙ by Nikola I. Nikolov, et al. ∙
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Felix: Flexible Text Editing Through Tagging and Insertion
We present Felix — a flexible text-editing approach for generation, desi...
03/24/2020 ∙ by Jonathan Mallinson, et al. ∙
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Encode, Tag, Realize: High-Precision Text Editing
We propose LaserTagger - a sequence tagging approach that casts text gen...
09/03/2019 ∙ by Eric Malmi, et al. ∙
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DiscoFuse: A Large-Scale Dataset for Discourse-based Sentence Fusion
Sentence fusion is the task of joining several independent sentences int...
02/27/2019 ∙ by Mor Geva, et al. ∙
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Responsible team players wanted: an analysis of soft skill requirements in job advertisements
During the past decades the importance of soft skills for labour market ...
10/13/2018 ∙ by Federica Calanca, et al. ∙
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Learning Representations for Soft Skill Matching
Employers actively look for talents having not only specific hard skills...
07/20/2018 ∙ by Luiza Sayfullina, et al. ∙
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Domain Adaptation for Resume Classification Using Convolutional Neural Networks
We propose a novel method for classifying resume data of job applicants ...
07/18/2017 ∙ by Luiza Sayfullina, et al. ∙
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Automatic Prediction of Discourse Connectives
Accurate prediction of suitable discourse connectives (however, furtherm...
02/03/2017 ∙ by Eric Malmi, et al. ∙
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DopeLearning: A Computational Approach to Rap Lyrics Generation
Writing rap lyrics requires both creativity to construct a meaningful, i...
05/18/2015 ∙ by Eric Malmi, et al. ∙
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Semi-Supervised Anomaly Detection - Towards Model-Independent Searches of New Physics
Most classification algorithms used in high energy physics fall under th...
12/14/2011 ∙ by Mikael Kuusela, et al. ∙
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