SOTAVerified

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 4951–5000 of 5335 papers

TitleStatusHype
Automatic Corpus Extension for Data-driven Natural Language Generation—0
A Japanese Chess Commentary Corpus—0
A Corpus of Gesture-Annotated Dialogues for Monologue-to-Dialogue Generation from Personal Narratives—0
1 Million Captioned Dutch Newspaper Images—0
Video Description using Bidirectional Recurrent Neural NetworksCode0
TGIF: A New Dataset and Benchmark on Animated GIF DescriptionCode0
Reasoning About Pragmatics with Neural Listeners and SpeakersCode0
LSTM based Conversation ModelsCode0
Neural Text Generation from Structured Data with Application to the Biography DomainCode0
Latent Predictor Networks for Code GenerationCode1
Multi-domain Neural Network Language Generation for Spoken Dialogue Systems—0
Zipf's law is a consequence of coherent language production—0
Backward and Forward Language Modeling for Constrained Sentence Generation—0
Neural Generative Question AnsweringCode0
Detection of Multiword Expressions for Hindi Language using Word Embeddings and WordNet-based Features—0
Learning in the Rational Speech Acts Model—0
Measuring Popularity of Machine-Generated Sentences Using Term Count, Document Frequency, and Dependency Language Model—0
Generating Weather Forecast Texts with Case Based Reasoning—0
A New Approach for Idiom Identification Using Meanings and the Web—0
Distinctive Similarity of Clausal Coordinate Ellipsis in Russian Compared to Dutch, Estonian, German, and Hungarian—0
Generating Lexicalization Patterns for Linked Open Data—0
A Personal Storytelling about Your Favorite Data—0
Call Centre Conversation Summarization: A Pilot Task at Multiling 2015—0
Generating R\'ecit from Sensor Data: Evaluation of a Task Model for Story Planning and Preliminary Experiments with GPS Data—0
Towards Flexible, Small-Domain Surface Generation: Combining Data-Driven and Grammatical Approaches—0
Generating Referential Descriptions Involving Relations by a Best-First Searching Procedure -- A System Demo—0
A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation—0
Narrative Generation from Extracted Associations—0
Generating Sentence Planning Variations for Story Telling—0
Natural Language Generation from Pictographs—0
Sentence Ordering in Electronic Navigational Chart Companion Text Generation—0
Input Seed Features for Guiding the Generation Process: A Statistical Approach for Spanish—0
A Framework for the Generation of Computer System Diagnostics in Natural Language using Finite State Methods—0
Proceedings of the 15th European Workshop on Natural Language Generation (ENLG)—0
Creating Textual Driver Feedback from Telemetric Data—0
Generating Image Descriptions with Gold Standard Visual Inputs: Motivation, Evaluation and Baselines—0
Summarising Unreliable Data—0
Moving Targets: Human References to Unstable Landmarks—0
Topic Transition Strategies for an Information-Giving Agent—0
Translating Italian to LIS in the Rail Stations—0
Evaluating a Dynamic Time Warping Based Scoring Algorithm for Facial Expressions in ASL Animations—0
Designing an Algorithm for Generating Named Spatial References—0
Synthesizing and Evaluating Animations of American Sign Language Verbs Modeled from Motion-Capture Data—0
Synthetic Text Generation for Sentiment Analysis—0
A Simple Surface Realization Engine for Telugu—0
A Snapshot of NLG Evaluation Practices 2005 - 2014—0
Learning Domain-Independent Dialogue Policies via Ontology Parameterisation—0
Generating Descriptions of Spatial Relations between Objects in Images—0
Reading Times Predict the Quality of Generated Text Above and Beyond Human Ratings—0
JSrealB: A Bilingual Text Realizer for Web Programming—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