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Dialogue Generation

Dialogue generation is the task of "understanding" natural language inputs - within natural language processing in order to produce output. The systems are usually intended for conversing with humans, for instance back and forth dialogue with a conversation agent like a chatbot. Some example benchmarks for this task (see others such as Natural Language Understanding) include FusedChat and Ubuntu DIalogue Corpus (UDC). Models can be evaluated via metrics such as BLEU, ROUGE, and METEOR albeit with challenges in terms of weak correlation with human judgement, that may be addressed by new ones like UnSupervised and Reference-free (USR) and Metric for automatic Unreferenced dialog evaluation (MaUde).

Papers

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Showing 451–500 of 606 papers

TitleStatusHype
Diverse dialogue generation with context dependent dynamic loss function—0
Translation vs. Dialogue: A Comparative Analysis of Sequence-to-Sequence Modeling—0
Uncertainty Modeling for Machine Comprehension Systems using Efficient Bayesian Neural Networks—0
Are Pre-trained Language Models Knowledgeable to Ground Open Domain Dialogues?—0
Counterfactual Off-Policy Training for Neural Dialogue Generation—0
MedDialog: Large-scale Medical Dialogue DatasetsCode0
TSDG: Content-aware Neural Response Generation with Two-stage Decoding Process—0
Approximation of Response Knowledge Retrieval in Knowledge-grounded Dialogue GenerationCode0
Towards Low-Resource Semi-Supervised Dialogue Generation with Meta-Learning—0
Multi-Turn Dialogue Generation in E-Commerce Platform with the Context of Historical Dialogue—0
Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation—0
Controllable Meaning Representation to Text Generation: Linearization and Data Augmentation Strategies—0
Open-Domain Dialogue Generation Based on Pre-trained Language Models—0
RMHIDD: A Reddit Mental Health Intervention Dialogue Dataset—0
Cross Copy Network for Dialogue GenerationCode0
Towards Automatic Online Hate Speech Intervention Generation using Pretrained Language Model—0
Meta-Context Transformers for Domain-Specific Response GenerationCode0
Generalizable and Explainable Dialogue Generation via Explicit Action Learning—0
Regularizing Dialogue Generation by Imitating Implicit Scenarios—0
Sentiment Analysis for Reinforcement Learning—0
DLGNet-Task: An End-to-end Neural Network Framework for Modeling Multi-turn Multi-domain Task-Oriented Dialogue—0
Generating Dialogue Responses from a Semantic Latent Space—0
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning—0
Learning from Mistakes: Combining Ontologies via Self-Training for Dialogue Generation—0
Modeling Topical Relevance for Multi-Turn Dialogue Generation—0
Controlling Style in Generated Dialogue—0
Enhancing Dialogue Generation via Multi-Level Contrastive Learning—0
Hierarchical GPT with Congruent Transformers for Multi-Sentence Language Models—0
Ranking Enhanced Dialogue Generation—0
More Diverse Dialogue Datasets via Diversity-Informed Data Collection—0
Neural Multi-task Text Normalization and Sanitization with Pointer-Generator—0
Semantic Guidance of Dialogue Generation with Reinforcement Learning—0
ORD: Object Relationship Discovery for Visual Dialogue Generation—0
On the Generation of Medical Dialogues for COVID-19Code0
Diversifying Dialogue Generation with Non-Conversational TextCode0
Fact-based Dialogue Generation with Convergent and Divergent Decoding—0
A New Data Normalization Method to Improve Dialogue Generation by Minimizing Long Tail Effect—0
Active Defense Against Social Engineering: The Case for Human Language Technology—0
Designing Multilingual Interactive Agents using Small Dialogue Corpora—0
Knowledge Injection into Dialogue Generation via Language Models—0
Evaluating Dialogue Generation Systems via Response SelectionCode0
Counterfactual Off-Policy Training for Neural Response Generation—0
On the Encoder-Decoder Incompatibility in Variational Text Modeling and BeyondCode0
The Panacea Threat Intelligence and Active Defense Platform—0
Dynamic Knowledge Graph-based Dialogue Generation with Improved Adversarial Meta-Learning—0
Knowledge-graph based Proactive Dialogue Generation with Improved Meta-Learning—0
Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation—0
Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight—0
Stylistic Dialogue Generation via Information-Guided Reinforcement Learning Strategy—0
Prototype-to-Style: Dialogue Generation with Style-Aware Editing on Retrieval Memory—0
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All datasetsPersona-ChatFusedChatHarry Potter Dialogue DatasetAmazon-5CMU DoGPG-19Reddit (multi-ref)Twitter Dialogue (Noun)Twitter Dialogue (Tense)Ubuntu Dialogue (Activity)Ubuntu Dialogue (Cmd)Ubuntu Dialogue (Entity)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LMEDRAvg F121.99—Unverified
2P^2 BotAvg F119.77—Unverified
3TransferTransfoAvg F119.09—Unverified
4Seq2Seq + AttentionAvg F116.18—Unverified
5Synthesizer (R+V)BLEU-114.7—Unverified
6KV Profile MemoryAvg F111.9—Unverified
#ModelMetricClaimedVerifiedStatus
1Classification-based modelSlot Accuracy0.97—Unverified
2Two-in-one modelSlot Accuracy0.97—Unverified
#ModelMetricClaimedVerifiedStatus
1EVAmauve0.97—Unverified
2Per-BOBmauve0.95—Unverified
#ModelMetricClaimedVerifiedStatus
1mm1 in 10 R@25—Unverified
#ModelMetricClaimedVerifiedStatus
1∞-former (Sticky memories)F19.01—Unverified
#ModelMetricClaimedVerifiedStatus
1∞-former (Sticky memories + initialized GPT-2 Small)Perplexity32.48—Unverified
#ModelMetricClaimedVerifiedStatus
1SpaceFusioninterest (human)2.53—Unverified
#ModelMetricClaimedVerifiedStatus
1MrRNN Act.-Ent.F14.63—Unverified
#ModelMetricClaimedVerifiedStatus
1MrRNN Act.-Ent.Accuracy34.48—Unverified
#ModelMetricClaimedVerifiedStatus
1MrRNN Act.-Ent.F111.43—Unverified
#ModelMetricClaimedVerifiedStatus
1MrRNN Act.-Ent.Accuracy95.04—Unverified
#ModelMetricClaimedVerifiedStatus
1MrRNN Act.-Ent.F13.72—Unverified
#ModelMetricClaimedVerifiedStatus
1MrRNN Act.-Ent.Accuracy29.01—Unverified