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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 4801–4850 of 5335 papers

TitleStatusHype
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational AutoencodersCode0
An Empirical Approach for Modeling Fuzzy Geographical Descriptors—0
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation—0
Random vector generation of a semantic space—0
Hierarchical Implicit Models and Likelihood-Free Variational Inference—0
Boundary-Seeking Generative Adversarial NetworksCode0
Improved Variational Autoencoders for Text Modeling using Dilated ConvolutionsCode0
Post-edit Analysis of Collective Biography Generation—0
A Hybrid Convolutional Variational Autoencoder for Text GenerationCode0
Toward Abstraction from Multi-modal Data: Empirical Studies on Multiple Time-scale Recurrent Models—0
AMR-to-text Generation with Synchronous Node Replacement Grammar—0
Deep Reinforcement Learning: An OverviewCode0
Fast mixing for Latent Dirichlet allocation—0
Verifying Heaps' law using Google Books Ngram data—0
Evaluating Creative Language Generation: The Case of Rap Lyric Ghostwriting—0
Predicting sentential semantic compatibility for aggregation in text-to-text generation—0
Bootstrapping incremental dialogue systems: using linguistic knowledge to learn from minimal data—0
Syntactic realization with data-driven neural tree grammarsCode0
Building RDF Content for Data-to-Text Generation—0
Discrimination between Similar Languages, Varieties and Dialects using CNN- and LSTM-based Deep Neural Networks—0
Natural Language Generation through Character-based RNNs with Finite-state Prior Knowledge—0
Microsyntactic Phenomena as a Computational Linguistics Issue—0
From OpenCCG to AI Planning: Detecting Infeasible Edges in Sentence Generation—0
Piecewise Latent Variables for Neural Variational Text ProcessingCode0
Exploring Text Links for Coherent Multi-Document Summarization—0
Neural Clinical Paraphrase Generation with Attention—0
Global Inference to Chinese Temporal Relation Extraction—0
Context-aware Natural Language Generation for Spoken Dialogue Systems—0
Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification—0
CaseSummarizer: A System for Automated Summarization of Legal Texts—0
Extending WordNet with Fine-Grained Collocational Information via Supervised Distributional Learning—0
Imitation learning for language generation from unaligned data—0
Verbframator:Semi-Automatic Verb Frame Annotator Tool with Special Reference to Marathi—0
Context-aware Natural Language Generation with Recurrent Neural NetworksCode0
Joint Copying and Restricted Generation for Paraphrase—0
Neural Headline Generation on Abstract Meaning Representation—0
Analyzing Linguistic Knowledge in Sequential Model of Sentence—0
Using Language Groundings for Context-Sensitive Text Prediction—0
Globally Coherent Text Generation with Neural Checklist Models—0
Stylistic Transfer in Natural Language Generation Systems Using Recurrent Neural Networks—0
Content Selection in Data-to-Text Systems: A Survey—0
A Theme-Rewriting Approach for Generating Algebra Word Problems—0
End-to-end Concept Word Detection for Video Captioning, Retrieval, and Question Answering—0
AMR-to-text generation as a Traveling Salesman Problem—0
Generating Abstractive Summaries from Meeting Transcripts—0
SeqGAN: Sequence Generative Adversarial Nets with Policy GradientCode0
Human-like Natural Language Generation Using Monte Carlo Tree Search—0
Generating English from Abstract Meaning Representations—0
QGASP: a Framework for Question Generation Based on Different Levels of Linguistic Information—0
Task demands and individual variation in referring expressions—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