Conditional Text Generation
27 papers with code • 1 benchmarks • 4 datasets
The task of generating text according to some pre-specified conditioning (e.g. topic or sentiment or constraint)
Benchmarks
These leaderboards are used to track progress in Conditional Text Generation
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
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VitaminC
WikiGraphs
Lipogram-e
BalitaNLP
Most implemented papers
Token Manipulation Generative Adversarial Network for Text Generation
MaskGAN opens the query for the conditional language model by filling in the blanks between the given tokens.
ETC-NLG: End-to-end Topic-Conditioned Natural Language Generation
gsarti/ETC-NLG
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We first test the effectiveness of our approach in a low-resource setting for Italian, evaluating the conditioning for both topic models and gold annotations.
Plug and Play Autoencoders for Conditional Text Generation
florianmai/emb2emb
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EMNLP 2020
Text autoencoders are commonly used for conditional generation tasks such as style transfer.
On Long-Tailed Phenomena in Neural Machine Translation
vyraun/long-tailed
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Findings of the Association for Computational Linguistics 2020
State-of-the-art Neural Machine Translation (NMT) models struggle with generating low-frequency tokens, tackling which remains a major challenge.
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
In this work, we propose to mitigate the conditional text generation problem by contrasting positive pairs with negative pairs, such that the model is exposed to various valid or incorrect perturbations of the inputs, for improved generalization.
Data-to-text Generation by Splicing Together Nearest Neighbors
swiseman/neighbor-splicing
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EMNLP 2021
We propose to tackle data-to-text generation tasks by directly splicing together retrieved segments of text from "neighbor" source-target pairs.
Is Everything in Order? A Simple Way to Order Sentences
fabrahman/rebart
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EMNLP 2021
We perform evaluations in a zero-shot setting, showcasing that our model is able to generalize well across other datasets.
WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset
deepmind/deepmind-research
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NAACL (TextGraphs) 2021
We present a new dataset of Wikipedia articles each paired with a knowledge graph, to facilitate the research in conditional text generation, graph generation and graph representation learning.
Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis
Sampreeth-sarma/T5-ABSA-Summarization
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Aspect-based sentiment analysis (ABSA) is an NLP task that entails processing user-generated reviews to determine (i) the target being evaluated, (ii) the aspect category to which it belongs, and (iii) the sentiment expressed towards the target and aspect pair.
Regression Transformer: Concurrent sequence regression and generation for molecular language modeling
ibm/regression-transformer
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To that end, we propose the Regression Transformer (RT), a novel method that abstracts regression as a conditional sequence modeling problem.
