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 4651–4700 of 5335 papers

TitleStatusHype
Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging—0
Open-Domain Neural Dialogue Systems—0
Information Bottleneck Inspired Method For Chat Text Segmentation—0
Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification—0
Procedural Text Generation from an Execution Video—0
A Statistical Framework for Product Description Generation—0
Enabling Transitivity for Lexical Inference on Chinese Verbs Using Probabilistic Soft Logic—0
A Dual Encoder Sequence to Sequence Model for Open-Domain Dialogue ModelingCode0
On modeling vagueness and uncertainty in data-to-text systems through fuzzy sets—0
A Semantic Relevance Based Neural Network for Text Summarization and Text SimplificationCode0
WHY: Natural Explanations from a Robot Navigator—0
Long Text Generation via Adversarial Training with Leaked InformationCode0
Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars—0
Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties [Extended Version]—0
Harvesting Creative Templates for Generating Stylistically Varied Restaurant Reviews—0
Using NLU in Context for Question Answering: Improving on Facebook's bAbI Tasks—0
Steering Output Style and Topic in Neural Response GenerationCode0
A Deep Reinforcement Learning Chatbot—0
Proceedings of the 10th International Conference on Natural Language Generation—0
G-TUNA: a corpus of referring expressions in German, including duration information—0
O Poeta Artificial 2.0: Increasing Meaningfulness in a Poetry Generation Twitter bot—0
A Domain and Language Independent Named Entity Classification Approach Based on Profiles and Local Information—0
Synthetic Literature: Writing Science Fiction in a Co-Creative Process—0
Constructing narrative using a generative model and continuous action policies—0
Talking about the world with a distributed model—0
Assessing the Stylistic Properties of Neurally Generated Text in Authorship Attribution—0
Template-Free Construction of Rhyming Poems with Thematic Cohesion—0
Stylistic Variation in Television Dialogue for Natural Language Generation—0
SaToS: Assessing and Summarising Terms of Services from German Webshops—0
Same same, but different: Compositionality of paraphrase granularity levelsCode0
Language Generation from DB Query—0
Data-Driven News Generation for Automated Journalism—0
Evaluating an Automata Approach to Query Containment—0
Lexicon for Natural Language Generation in Spanish Adapted to Alternative and Augmentative Communication—0
Multilingual Ontologies for the Representation and Processing of Folktales—0
Textually Summarising Incomplete Data—0
Data Augmentation for Visual Question Answering—0
PASS: A Dutch data-to-text system for soccer, targeted towards specific audiences—0
The Code2Text Challenge: Text Generation in Source Libraries—0
Generating Text with Correct Verb Conjugation: Proposal for a New Automatic Conjugator with NooJ—0
Generating titles for millions of browse pages on an e-Commerce site—0
Content Selection for Real-time Sports News Construction from Commentary Texts—0
Linguistic Description of Complex Phenomena with the rLDCP R Package—0
Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification—0
Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation—0
Evaluation of a Runyankore grammar engine for healthcare messages—0
Story Comprehension for Predicting What Happens Next—0
Investigating the content and form of referring expressions in Mandarin: introducing the Mtuna corpus—0
Natural Language Descriptions for Human Activities in Video Streams—0
A Commercial Perspective on Reference—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