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Text Generation

203 papers with code · 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 with code

CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation

3 Feb 2020thu-coai/cotk

In text generation evaluation, many practical issues, such as inconsistent experimental settings and metric implementations, are often ignored but lead to unfair evaluation and untenable conclusions.

TEXT GENERATION

60
03 Feb 2020

Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog

1 Feb 2020ictnlp/DSTC8-AVSD

Audio-Visual Scene-Aware Dialog (AVSD) is a task to generate responses when chatting about a given video, which is organized as a track of the 8th Dialog System Technology Challenge (DSTC8).

DIALOGUE GENERATION MULTI-TASK LEARNING

13
01 Feb 2020

Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs

29 Jan 2020UKPLab/kg2text

In our experiments, we demonstrate that our models lead to significant improvements in KG-to-text generation, achieving BLEU scores of 17. 81 on AGENDA dataset, and 63. 10 on the WebNLG dataset for seen categories, outperforming the state of the art by 3. 51 and 2. 51 points, respectively.

KNOWLEDGE GRAPHS TEXT GENERATION

5
29 Jan 2020

Bringing Stories Alive: Generating Interactive Fiction Worlds

28 Jan 2020rajammanabrolu/WorldGeneration

This knowledge graph is then automatically completed utilizing thematic knowledge and used to guide a neural language generation model that fleshes out the rest of the world.

TEXT GENERATION

14
28 Jan 2020

Graph Constrained Reinforcement Learning for Natural Language Action Spaces

23 Jan 2020rajammanabrolu/KG-A2C

Interactive Fiction games are text-based simulations in which an agent interacts with the world purely through natural language.

TEXT GENERATION

19
23 Jan 2020

A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation

15 Jan 2020thu-coai/CommonsenseStoryGen

To further capture the causal and temporal dependencies between the sentences in a reasonable story, we employ multi-task learning which combines a discriminative objective to distinguish true and fake stories during fine-tuning.

MULTI-TASK LEARNING TEXT GENERATION

18
15 Jan 2020

Revisiting Challenges in Data-to-Text Generation with Fact Grounding

WS 2019 wanghm92/rw_fg

Data-to-text generation models face challenges in ensuring data fidelity by referring to the correct input source.

DATA-TO-TEXT GENERATION LANGUAGE MODELLING

3
12 Jan 2020

PatentTransformer-2: Controlling Patent Text Generation by Structural Metadata

11 Jan 2020jiehsheng/PatentTransformer

PatentTransformer is our codename for patent text generation based on Transformer-based models.

TEXT GENERATION

4
11 Jan 2020

Paraphrase Generation with Latent Bag of Words

NeurIPS 2019 FranxYao/dgm_latent_bow

Inspired by variational autoencoders with discrete latent structures, in this work, we propose a latent bag of words (BOW) model for paraphrase generation.

PARAPHRASE GENERATION WORD EMBEDDINGS

42
07 Jan 2020

Encoder-Agnostic Adaptation for Conditional Language Generation

ICLR 2020 anon37234/encoder-agnostic-adaptation

Large pretrained language models have changed the way researchers approach discriminative natural language understanding tasks, leading to the dominance of approaches that adapt a pretrained model for arbitrary downstream tasks.

LANGUAGE MODELLING TEXT GENERATION

3
01 Jan 2020