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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 4851–4900 of 5335 papers

TitleStatusHype
Towards Generating Colour Terms for Referents in Photographs: Prefer the Expected or the Unexpected?—0
Don't Mention the Shoe! A Learning to Rank Approach to Content Selection for Image Description Generation—0
The WebNLG Challenge: Generating Text from DBPedia Data—0
The Multilingual Affective Soccer Corpus (MASC): Compiling a biased parallel corpus on soccer reportage in English, German and Dutch—0
Discourse-Driven Narrative Generation With Bipartite Planning—0
Content Selection through Paraphrase Detection: Capturing different Semantic Realisations of the Same Idea—0
A Repository of Frame Instance Lexicalizations for Generation—0
Crowd-sourcing NLG Data: Pictures Elicit Better Data.—0
Enabling text readability awareness during the micro planning phase of NLG applications—0
A Context-aware Natural Language Generator for Dialogue Systems—0
Abstractive Compression of Captions with Attentive Recurrent Neural Networks—0
Automatic Reports from Spreadsheets: Data Analysis for the Rest of Us—0
The aNALoGuE Challenge: Non Aligned Language GEneration—0
Evaluative Pattern Extraction for Automated Text Generation—0
Generating sets of related sentences from input seed features—0
SimpleNLG-IT: adapting SimpleNLG to Italian—0
Assembling Narratives with Associative Threads—0
Enhancing PTB Universal Dependencies for Grammar-Based Surface Realization—0
Infusing NLU into Automatic Question Generation—0
Comparing the Template-Based Approach to GF: the case of Afrikaans—0
Towards proper name generation: a corpus analysis—0
Designing Algorithms for Referring with Proper Names—0
Category-Driven Content Selection—0
ReadME generation from an OWL ontology describing NLP tools—0
Ranking Automatically Generated Questions Using Common Human Queries—0
A Challenge Proposal for Narrative Generation Using CNLs—0
Building a System for Stock News Generation in Russian—0
A Challenge to the Third Hoshi Shinichi Award—0
Automatic Generation of Student Report Cards—0
Generating Paraphrases from DBPedia using Deep Learning—0
Empirical Determination of Basic Heuristics for Narrative Content Planning—0
Processing Document Collections to Automatically Extract Linked Data: Semantic Storytelling Technologies for Smart Curation Workflows—0
Automatic label generation for news comment clusters—0
When to Plummet and When to Soar: Corpus Based Verb Selection for Natural Language Generation—0
Process Based Evaluation of Computer Generated Poetry—0
Selecting Domain-Specific Concepts for Question Generation With Lightly-Supervised Methods—0
Content selection as semantic-based ontology exploration—0
Analysing the Integration of Semantic Web Features for Document Planning across Genres—0
On the Robustness of Standalone Referring Expression Generation Algorithms Using RDF Data—0
Absolute and Relative Properties in Geographic Referring Expressions—0
Collecting Reliable Human Judgements on Machine-Generated Language: The Case of the QG-STEC Data—0
An Analysis of the Ability of Statistical Language Models to Capture the Structural Properties of Language—0
Summarising News Stories for Children—0
Good Automatic Authentication Question Generation—0
Challenges of Argument Mining: Generating an Argument Synthesis based on the Qualia Structure—0
Improving Fluency in Narrative Text Generation With Grammatical Transformations and Probabilistic ParsingCode0
Investigating Fluidity for Human-Robot Interaction with Real-time, Real-world Grounding Strategies—0
Statistics-Based Lexical Choice for NLG from Quantitative Information—0
Statistical Natural Language Generation from Tabular Non-textual Data—0
Tense and Aspect in Runyankore Using a Context-Free Grammar—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