SOTAVerified

Text Generation

Text Generation is the task of generating text with the goal of appearing indistinguishable to human-written text. This task is more formally known as "natural language generation" in the literature.

Text generation can be addressed with Markov processes or deep generative models like LSTMs. Recently, some of the most advanced methods for text generation include BART, GPT and other GAN-based approaches. Text generation systems are evaluated either through human ratings or automatic evaluation metrics like METEOR, ROUGE, and BLEU.

Further readings:

( Image credit: Adversarial Ranking for Language Generation )

Papers

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Showing 4351–4400 of 5335 papers

TitleStatusHype
Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous OutputsCode0
Towards Text Generation with Adversarially Learned Neural Outlines—0
Book Review: Automatic Text Simplification by Horacio Saggion—0
Towards Task Understanding in Visual Settings—0
Generative Adversarial Network Training is a Continual Learning Problem—0
CGMH: Constrained Sentence Generation by Metropolis-Hastings SamplingCode0
Extractive Summary as Discrete Latent Variables—0
Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems—0
Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text Generation—0
The RLLChatbot: a solution to the ConvAI challengeCode0
Language GANs Falling ShortCode0
Char2char Generation with Reranking for the E2E NLG Challenge—0
Content preserving text generation with attribute controlsCode0
Content Determination for Chess as a Source for Suspenseful Narratives—0
Enriching the WebNLG corpusCode0
Seeking the Ideal Narrative Model for Computer-Generated Narratives—0
Syntactic Manipulation for Generating more Diverse and Interesting TextsCode0
Learning to Flip the Bias of News Headlines—0
Self-Learning Architecture for Natural Language Generation—0
Automation and Optimisation of Humor Trait Generation in a Vocal Dialogue System—0
Supporting Content Design with an Eye Tracker: The Case of Weather-based Recommendations—0
Generating Stories Using Role-playing Games and Simulated Human-like Conversations—0
Towards Coherent and Cohesive Long-form Text Generation—0
A Brief Introduction to Natural Language Generation within Computational Creativity—0
Generating Summaries of Sets of Consumer Products: Learning from Experiments—0
Generation of Company descriptions using concept-to-text and text-to-text deep models: dataset collection and systems evaluation—0
Poem Machine - a Co-creative NLG Web Application for Poem Writing—0
Generating E-Commerce Product Titles and Predicting their Quality—0
Context-sensitive Natural Language Generation for robot-assisted second language tutoring—0
Adapting Descriptions of People to the Point of View of a Moving Observer—0
Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study—0
Generating Description for Sequential Images with Local-Object Attention Conditioned on Global Semantic Context—0
Adapting SimpleNLG to Galician languageCode0
Shaping a social robot's humor with Natural Language Generation and socially-aware reinforcement learning—0
Going Dutch: Creating SimpleNLG-NL—0
Adding the Third Dimension to Spatial Relation Detection in 2D Images—0
Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models—0
Automatic Opinion Question GenerationCode0
Ontology-Based Retrieval \& Neural Approaches for BioASQ Ideal Answer Generation—0
SimpleNLG-ZH: a Linguistic Realisation Engine for MandarinCode0
Proceedings of the 11th International Conference on Natural Language Generation—0
Automatically Generating Questions about Novel Metaphors in Literature—0
Handling Rare Items in Data-to-Text GenerationCode0
From sensors to sense: Integrated heterogeneous ontologies for Natural Language Generation—0
SpatialVOC2K: A Multilingual Dataset of Images with Annotations and Features for Spatial Relations between ObjectsCode0
Proceedings of the 3rd Workshop on Computational Creativity in Natural Language Generation (CC-NLG 2018)—0
LSTM Hypertagging—0
Proceedings of the Workshop on Intelligent Interactive Systems and Language Generation (2IS\&NLG)—0
A farewell to arms: Non-verbal communication for non-humanoid robots—0
Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methodsCode0
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All datasetsDARTCOCO CaptionsEMNLP2017 WMTReDialCommonGenROCStoriesChinese PoemsCzech restaurant informationOpenWebTextSciQYahoo QuestionsADGEN

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1T5B BaselineBLEU48.74—Unverified
2FactT5BBLEU48.37—Unverified
3JointGT BaselineBLEU47.51—Unverified
4FactJointGTBLEU47.39—Unverified
5Control Prefixes (T5-large)METEOR0.41—Unverified
6T5METEOR0.12—Unverified
7BARTMETEOR0.11—Unverified
#ModelMetricClaimedVerifiedStatus
1LeakGANBLEU-20.95—Unverified
2partGANBLEU-20.91—Unverified
3RankGANBLEU-20.85—Unverified
4RelGAN (100)BLEU-20.85—Unverified
5SeqGANBLEU-20.83—Unverified
#ModelMetricClaimedVerifiedStatus
1LeakGANBLEU-20.96—Unverified
2PPOGANBLEU-20.91—Unverified
3RelGANBLEU-20.88—Unverified
4SeqGANBLEU-20.86—Unverified
5RankGANBLEU-20.78—Unverified
#ModelMetricClaimedVerifiedStatus
1UniCRSDistinct-30.65—Unverified
2CRFRDistinct-30.52—Unverified
3KGSFDistinct-30.43—Unverified
4C2CRSDistinct-30.33—Unverified
5KBRDDistinct-30.3—Unverified
#ModelMetricClaimedVerifiedStatus
1UniLMCIDEr14.92—Unverified
2BART (TextBox 2.0)CIDEr12.98—Unverified
3BARTMETEOR0.3—Unverified
4T5METEOR0.29—Unverified
#ModelMetricClaimedVerifiedStatus
1Beam search + A*esque (beam)BLEU-134.4—Unverified
2Beam search + A*esque (sample)BLEU-134.4—Unverified
3Beam search + A*esque (greedy)BLEU-134.3—Unverified
4Beam searchBLEU-133.7—Unverified
#ModelMetricClaimedVerifiedStatus
1RankGANBLEU-20.81—Unverified
2SeqGANBLEU-20.74—Unverified
3LeakGANBLEU-20.46—Unverified
#ModelMetricClaimedVerifiedStatus
1TGen++METEOR0.17—Unverified
2TGenMETEOR0.15—Unverified
3TGen+METEOR0.15—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT2-124Meval_loss3.12—Unverified
2GPT2-81M-LOOPeval_loss3.11—Unverified
3GPT2-Hermiteeval_loss2.91—Unverified
#ModelMetricClaimedVerifiedStatus
1LLaMA-65B+CFG (zero-shot)Accuracy96.6—Unverified
2LLaMA-30B+CFG (zero-shot)Accuracy96.4—Unverified
3LLaMA-13B+CFG (zero-shot)Accuracy95.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CNN-VAENLL332.1—Unverified
2SA-VAENLL327.5—Unverified
3Aggressive VAENLL326.7—Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)BLEU-410.2—Unverified
#ModelMetricClaimedVerifiedStatus
1STWGAN-GPBLEU-30.62—Unverified
#ModelMetricClaimedVerifiedStatus
1PALMROUGE-L41.41—Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-L64.34—Unverified
#ModelMetricClaimedVerifiedStatus
1AEM+AttentionBLEU-114.17—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4ASR65.1—Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-L42.96—Unverified
#ModelMetricClaimedVerifiedStatus
1Graph2SeqBLEU22—Unverified
#ModelMetricClaimedVerifiedStatus
1WGANGP + DGflowJS-40.19—Unverified