Text Generation

252 papers with code ยท Natural Language Processing

Text generation is the task of generating text with the goal of appearing indistinguishable to human-written text.

( Image credit: Adversarial Ranking for Language Generation )

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Latest papers without code

Neural Language Generation: Formulation, Methods, and Evaluation

31 Jul 2020

Nevertheless, there is no standard way to assess the quality of text produced by these generative models, which constitutes a serious bottleneck towards the progress of the field.

TEXT GENERATION

TweepFake: about Detecting Deepfake Tweets

31 Jul 2020

To help the research in this field, we collected a dataset of real Deepfake tweets.

FACE SWAPPING LANGUAGE MODELLING TEXT GENERATION

Defining and Evaluating Fair Natural Language Generation

WS 2020

Our work focuses on the biases that emerge in the natural language generation (NLG) task of sentence completion.

SENTENCE COMPLETION TEXT GENERATION

SBAT: Video Captioning with Sparse Boundary-Aware Transformer

23 Jul 2020

However, video captioning is a multimodal learning problem, and the video features have much redundancy between different time steps.

MACHINE TRANSLATION TEXT GENERATION VIDEO CAPTIONING

Toward Givenness Hierarchy Theoretic Natural Language Generation

17 Jul 2020

Language-capable interactive robots participating in dialogues with human interlocutors must be able to naturally and efficiently communicate about the entities in their environment.

TEXT GENERATION

Deep Transformer based Data Augmentation with Subword Units for Morphologically Rich Online ASR

14 Jul 2020

Recent studies showed that a considerable part of the knowledge of neural network Language Models (LM) can be transferred to traditional n-grams by using neural text generation based data augmentation.

LANGUAGE MODELLING TEXT AUGMENTATION TEXT GENERATION

Contextualized Code Representation Learning for Commit Message Generation

14 Jul 2020

CoreGen first learns contextualized code representation which exploits the contextual information behind code commit sequences.

REPRESENTATION LEARNING TEXT GENERATION

Modeling Coherency in Generated Emails by Leveraging Deep Neural Learners

14 Jul 2020

Advanced machine learning and natural language techniques enable attackers to launch sophisticated and targeted social engineering-based attacks.

TEXT GENERATION

Paranoid Transformer: Reading Narrative of Madness as Computational Approach to Creativity

13 Jul 2020

We describe technical details of the generative system, provide examples of output and discuss the impact of receptive theory, chance discovery and simulation of fringe mental state on the understanding of computational creativity.

TEXT GENERATION