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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 4901–4950 of 5335 papers

TitleStatusHype
Generating Paraphrases from DBPedia using Deep Learning—0
A Repository of Frame Instance Lexicalizations for Generation—0
Building a System for Stock News Generation in Russian—0
Proceedings of the 2nd International Workshop on Natural Language Generation and the Semantic Web (WebNLG 2016)—0
ReadME generation from an OWL ontology describing NLP tools—0
Analysing the Integration of Semantic Web Features for Document Planning across Genres—0
Automatic Tweet Generation From Traffic Incident Data—0
A Context-aware Natural Language Generator for Dialogue Systems—0
Towards an Entertaining Natural Language Generation System: Linguistic Peculiarities of Japanese Fictional Characters—0
A Context-aware Natural Language Generator for Dialogue Systems—0
Generative Knowledge Transfer for Neural Language Models—0
Focused Evaluation for Image Description with Binary Forced-Choice Tasks—0
Natural Language Descriptions of Human Activities Scenes: Corpus Generation and Analysis—0
Modeling the Non-Substitutability of Multiword Expressions with Distributional Semantics and a Log-Linear Model—0
Generating Disambiguating Paraphrases for Structurally Ambiguous Sentences—0
Learning Embeddings to lexicalise RDF Properties—0
Towards more variation in text generation: Developing and evaluating variation models for choice of referential form—0
Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings—0
Easy Things First: Installments Improve Referring Expression Generation for Objects in Photographs—0
MUTT: Metric Unit TesTing for Language Generation Tasks—0
Sequence-based Structured Prediction for Semantic Parsing—0
Mining Paraphrasal Typed Templates from a Plain Text Corpus—0
Scaling a Natural Language Generation System—0
Claim Synthesis via Predicate Recycling—0
From Extractive to Abstractive Summarization: A Journey—0
Chinese Couplet Generation with Neural Network Structures—0
DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents—0
Crowd-sourcing NLG Data: Pictures Elicit Better Data—0
Modeling Context in Referring ExpressionsCode1
Synthetic Language Generation and Model Validation in BEAST2—0
An Actor-Critic Algorithm for Sequence PredictionCode0
Neural Sentence Ordering—0
Natural Language Generation as Planning under Uncertainty Using Reinforcement Learning—0
Learning to Generate Compositional Color DescriptionsCode0
Natural Language Generation in Dialogue using Lexicalized and Delexicalized Data—0
Conditional Generation and Snapshot Learning in Neural Dialogue Systems—0
Natural Language Generation enhances human decision-making with uncertain information—0
Sequence-to-Sequence Learning as Beam-Search OptimizationCode0
Neural Net Models for Open-Domain Discourse CoherenceCode0
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response GenerationCode0
Argument linking in LTAG: A constraint-based implementation with XMG—0
Automatic Text Generation by Learning from Literary Structures—0
Deterministic natural language generation from meaning representations for machine translation—0
Individual Variation in the Choice of Referential Form—0
Recent Progress in Deep Learning for NLP—0
Incorporating Side Information into Recurrent Neural Network Language Models—0
Generation from Abstract Meaning Representation using Tree Transducers—0
Experiments in Linear Template Combination using Genetic Algorithms—0
Fuzzy Sets Across the Natural Language Generation Pipeline—0
The Methodius Corpus of Rhetorical Discourse Structures and Generated Texts—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