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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 3551–3600 of 5335 papers

TitleStatusHype
NUIG-DSI’s submission to The GEM Benchmark 2021—0
GOT: Testing for Originality in Natural Language Generation—0
Human Perception in Natural Language Generation—0
Structure-to-Text Generation with Self-Training, Acceptability Classifiers and Context-Conditioning for the GEM Shared Task—0
TUDA-Reproducibility @ ReproGen: Replicability of Human Evaluation of Text-to-Text and Concept-to-Text Generation—0
Structure-Aware Pre-Training for Table-to-Text Generation—0
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?Code0
Human Evaluation of Creative NLG Systems: An Interdisciplinary Survey on Recent Papers—0
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation—0
MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation—0
Guided Generation of Cause and Effect—0
WikiGraphs: A Wikipedia Text - Knowledge Graph Paired DatasetCode0
What Do You Get When You Cross Beam Search with Nucleus Sampling?—0
Generative Pretraining for Paraphrase Evaluation—0
Intersectional Bias in Causal Language Models—0
Urdu & Hindi Poetry Generation using Neural Networks—0
Variational Topic Inference for Chest X-Ray Report Generation—0
From Show to Tell: A Survey on Deep Learning-based Image Captioning—0
CatVRNN: Generating Category Texts via Multi-task LearningCode0
Inspiration through Observation: Demonstrating the Influence of Automatically Generated Text on Creative WritingCode0
HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text—0
On Training Instance Selection for Few-Shot Neural Text Generation—0
DISCO : efficient unsupervised decoding for discrete natural language problems via convex relaxation—0
A Survey on Dialogue Summarization: Recent Advances and New Frontiers—0
Case Relation Transformer: A Crossmodal Language Generation Model for Fetching Instructions—0
Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text—0
Getting to Production with Few-shot Natural Language Generation Models—0
A Task-Oriented Dialogue Architecture via Transformer Neural Language Models and Symbolic Injection—0
Velocidapter: Task-oriented Dialogue Comprehension Modeling Pairing Synthetic Text Generation with Domain AdaptationCode0
Diversity as a By-Product: Goal-oriented Language Generation Leads to Linguistic Variation—0
Do Encoder Representations of Generative Dialogue Models have sufficient summary of the Information about the task ?Code0
Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder—0
All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text—0
Evaluation of Thematic Coherence in Microblogs—0
Don't Take It Literally: An Edit-Invariant Sequence Loss for Text GenerationCode0
Topic-to-Essay Generation with Comprehensive Knowledge Enhancement—0
DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual EncodersCode0
Do Boat and Ocean Suggest Beach? Dialogue Summarization with External KnowledgeCode0
Membership Inference on Word Embedding and Beyond—0
Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task ?Code0
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation—0
A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic lossCode0
Transitional Adaptation of Pretrained Models for Visual Storytelling—0
Continuity of Topic, Interaction, and Query: Learning to Quote in Online ConversationsCode0
Continuation is a Sub-Task of Fill in the Blank: Why Not Train for Both?—0
Automatic Construction of Evaluation Suites for Natural Language Generation Datasets—0
Textual Data Distributions: Kullback Leibler Textual Distributions Contrasts on GPT-2 Generated Texts, with Supervised, Unsupervised Learning on Vaccine & Market Topics & Sentiment—0
Automatic Document Sketching: Generating Drafts from Analogous Texts—0
Determinantal Beam Search—0
Zero-Shot Controlled Generation with Encoder-Decoder Transformers—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