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Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders

The ability to combine symbols to generate language is a defining characteristic of human intelligence, particularly in the context of artistic story-telling through lyrics. We develop a method for synthesizing a rap verse based on the content of any …

FELIX: Flexible Text Editing Through Tagging and Insertion

We present FELIX -- a flexible text-editing approach for generation, designed to derive maximum benefit from the ideas of decoding with bi-directional contexts and self-supervised pretraining. In contrast to conventional sequenceto-sequence (seq2seq) …

Semantically Driven Sentence Fusion: Modeling and Evaluation

Sentence fusion is the task of joining related sentences into coherent text. Current training and evaluation schemes for this task are based on single reference ground-truths and do not account for valid fusion variants. We show that this hinders …

Unsupervised Text Style Transfer with Padded Masked Language Models

We propose Masker, an unsupervised text-editing method for style transfer. To tackle cases when no parallel source--target pairs are available, we train masked language models (MLMs) for both the source and the target domain. Then we find the text …

Encode, Tag, Realize: High-Precision Text Editing

We propose LaserTagger - a sequence tagging approach that casts text generation as a text editing task. Target texts are reconstructed from the inputs using three main edit operations: keeping a token, deleting it, and adding a phrase before the …

DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion

Sentence fusion is the task of joining several independent sentences into a single coherent text. Current datasets for sentence fusion are small and insufficient for training modern neural models. In this paper, we propose a method for …

Automatic Prediction of Discourse Connectives

Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating

Learning Representations for Soft Skill Matching

Redundancy Localization for the Conversationalization of Unstructured Responses

Conversational agents offer users a natural-language interface to accomplish tasks, entertain themselves, or access information. Informational dialogue is particularly challenging in that the agent has to hold a conversation on an open topic, and to …