Conversational Response Selection
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Benchmarks
Douban
E-commerce
RRS
DSTC7 Ubuntu
PolyAI Reddit
Ubuntu IRC
RRS Ranking Test
Persona-Chat
PolyAI AmazonQA
Advising Corpus
PolyAI OpenSubtitles
personachat
Most implemented
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Deep contextualized word representations
Universal Sentence Encoder
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems
Personalizing Dialogue Agents: I have a dog, do you have pets too?
Papers
Efficient Dynamic Hard Negative Sampling for Dialogue Selection
Recent studies have demonstrated significant improvements in selection tasks, and a considerable portion of this success is attributed to incorporating informative negative samples during training. While traditional meth…
Conversational Response SelectionP5: Plug-and-Play Persona Prompting for Personalized Response Selection
The use of persona-grounded retrieval-based chatbots is crucial for personalized conversations, but there are several challenges that need to be addressed. 1) In general, collecting persona-grounded corpus is very expens…
ChatbotConversational Response SelectionKnowledge-aware response selection with semantics underlying multi-turn open-domain conversations
Response selection is a critical issue in the AI community, with important applications on the Web. The accuracy of the selected responses, however, tends to be insufficient due to the lack of contextual awareness, espec…
Conversational Response SelectionDial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems
Dialogue response selection aims to select an appropriate response from several candidates based on a given user and system utterance history. Most existing works primarily focus on post-training and fine-tuning tailored…
Conversational Response SelectionDecoderLanguage ModelingLanguage Modelling+2Learning Dialogue Representations from Consecutive Utterances
Learning high-quality dialogue representations is essential for solving a variety of dialogue-oriented tasks, especially considering that dialogue systems often suffer from data scarcity. In this paper, we introduce Dial…
Contrastive LearningConversational Question AnsweringConversational Response SelectionDialogue Act Classification+14One Agent To Rule Them All: Towards Multi-agent Conversational AI
The increasing volume of commercially available conversational agents (CAs) on the market has resulted in users being burdened with learning and adopting multiple agents to accomplish their tasks. Though prior work has e…
AllConversational Response SelectionMulti-agent IntegrationText Classification