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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 3751–3800 of 5335 papers

TitleStatusHype
“This is a Problem, Don’t You Agree?” Framing and Bias in Human Evaluation for Natural Language Generation—0
Semantic Triples Verbalization with Generative Pre-Training ModelCode0
A General Benchmarking Framework for Text GenerationCode0
Data Augmentation for Multiclass Utterance Classification -- A Systematic Study—0
Neural Micro-Planning for Data to Text Generation Produces more Cohesive Text—0
Machine Translation Aided Bilingual Data-to-Text Generation and Semantic Parsing—0
Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers—0
Machine Translation Pre-training for Data-to-Text Generation - A Case Study in Czech—0
Learning Semantic Correspondences from Noisy Data-text Pairs by Local-to-Global Alignments—0
A proof of concept on triangular test evaluation for Natural Language Generation—0
DaMata: A Robot-Journalist Covering the Brazilian Amazon DeforestationCode0
Recipe Instruction Semantics Corpus (RISeC): Resolving Semantic Structure and Zero Anaphora in Recipes—0
Controllable Neural Natural Language Generation: comparison of state-of-the-art control strategies—0
Zero-Shot Neural Machine Translation: Russian-Hindi @LoResMT 2020—0
Exploring Looping Effects in RNN-based Architectures—0
Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning—0
The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task: Overview and Evaluation Results (WebNLG+ 2020)—0
Annotating Errors and Emotions in Human-Chatbot Interactions in Italian—0
Learning with Contrastive Examples for Data-to-Text GenerationCode0
Text-to-Text Pre-Training Model with Plan Selection for RDF-to-Text Generation—0
Distinctive Slogan Generation with Reconstruction—0
MedWriter: Knowledge-Aware Medical Text Generation—0
Building Hierarchically Disentangled Language Models for Text Generation with Named Entities—0
SimpleNLG-TI: Adapting SimpleNLG to Tibetan—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
Text Simplification with Reinforcement Learning Using Supervised Rewards on Grammaticality, Meaning Preservation, and Simplicity—0
Retrieval-Augmented Controllable Review Generation—0
Train Hard, Finetune Easy: Multilingual Denoising for RDF-to-Text Generation—0
Label Representations in Modeling Classification as Text Generation—0
Controlled Text Generation with Adversarial Learning—0
RDFjsRealB: a Symbolic Approach for Generating Text from RDF Triples—0
Generalized Shortest-Paths Encoders for AMR-to-Text Generation—0
P^2: A Plan-and-Pretrain Approach for Knowledge Graph-to-Text Generation—0
The CACAPO Dataset: A Multilingual, Multi-Domain Dataset for Neural Pipeline and End-to-End Data-to-Text Generation—0
Utilising Knowledge Graph Embeddings for Data-to-Text Generation—0
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
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
A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text SystemsCode0
Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data—0
Template Controllable keywords-to-text Generation—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