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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 3601–3650 of 5335 papers

TitleStatusHype
“This is a Problem, Don’t You Agree?” Framing and Bias in Human Evaluation for Natural Language Generation—0
A proof of concept on triangular test evaluation for Natural Language Generation—0
Zero-Shot Neural Machine Translation: Russian-Hindi @LoResMT 2020—0
Neural Micro-Planning for Data to Text Generation Produces more Cohesive Text—0
NILC at SR’20: Exploring Pre-Trained Models in Surface Realisation—0
Surface Realization Using Pretrained Language Models—0
Data Augmentation for Multiclass Utterance Classification -- A Systematic Study—0
MedWriter: Knowledge-Aware Medical Text Generation—0
Retrieval-Augmented Controllable Review Generation—0
Learning Semantic Correspondences from Noisy Data-text Pairs by Local-to-Global Alignments—0
Dynamic Topic Tracker for KB-to-Text Generation—0
A hierarchical approach to vision-based language generation: from simple sentences to complex natural language—0
Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities—0
Learning with Contrastive Examples for Data-to-Text GenerationCode0
TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content MatchingCode1
Generalized Shortest-Paths Encoders for AMR-to-Text Generation—0
Building Hierarchically Disentangled Language Models for Text Generation with Named Entities—0
GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text GenerationCode1
Text Simplification with Reinforcement Learning Using Supervised Rewards on Grammaticality, Meaning Preservation, and Simplicity—0
Label Representations in Modeling Classification as Text Generation—0
Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning—0
Recipe Instruction Semantics Corpus (RISeC): Resolving Semantic Structure and Zero Anaphora in Recipes—0
Refining Deep Generative Models via Discriminator Gradient FlowCode1
Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers—0
TaylorGAN: Neighbor-Augmented Policy Update Towards Sample-Efficient Natural Language GenerationCode1
Latent Template Induction with Gumbel-CRFsCode1
TaylorGAN: Neighbor-Augmented Policy Update for Sample-Efficient Natural Language GenerationCode1
Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space—0
Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo ApproachCode0
GLGE: A New General Language Generation Evaluation BenchmarkCode1
Generating Intelligible Plumitifs Descriptions: Use Case Application with Ethical Considerations—0
Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language InferenceCode0
Attention Mechanism, Transformers, BERT, and GPT: Tutorial and Survey—0
DORB: Dynamically Optimizing Multiple Rewards with Bandits—0
Conditioned Natural Language Generation using only Unconditioned Language Model: An Exploration—0
Meaningful Answer Generation of E-Commerce Question-Answering—0
E-commerce Query-based Generation based on User Review—0
From Unsupervised Machine Translation To Adversarial Text Generation—0
Multilingual AMR-to-Text Generation—0
Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data—0
Adapting a Language Model for Controlled Affective Text GenerationCode1
A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text SystemsCode0
Template Controllable keywords-to-text Generation—0
SeqGenSQL -- A Robust Sequence Generation Model for Structured Query LanguageCode2
The ApposCorpus: A new multilingual, multi-domain dataset for factual appositive generation—0
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles—0
Data-to-Text Generation with Iterative Text EditingCode1
Conditioned Text Generation with Transfer for Closed-Domain Dialogue SystemsCode1
Improving Variational Autoencoder for Text Modelling with Timestep-Wise RegularisationCode0
Towards Harnessing Natural Language Generation to Explain Black-box Models—0
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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