Conversational Response Selection

Conversational response selection refers to the task of identifying the most relevant response to a given input sentence from a collection of sentences.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1–46 of 46 papers

Title	Date	Tasks	Status	Hype
Efficient Dynamic Hard Negative Sampling for Dialogue Selection	Aug 16, 2024	Conversational Response Selection	CodeCode Available	0
P5: Plug-and-Play Persona Prompting for Personalized Response Selection	Oct 10, 2023	ChatbotConversational Response Selection	CodeCode Available	0
Knowledge-aware response selection with semantics underlying multi-turn open-domain conversations	Jul 27, 2023	Conversational Response Selection	CodeCode Available	0
Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems	Jun 7, 2023	Conversational Response SelectionDecoder	CodeCode Available	0
Learning Dialogue Representations from Consecutive Utterances	May 26, 2022	Contrastive LearningConversational Question Answering	CodeCode Available	1
One Agent To Rule Them All: Towards Multi-agent Conversational AI	Mar 15, 2022	AllConversational Response Selection	CodeCode Available	0
Two-Level Supervised Contrastive Learning for Response Selection in Multi-Turn Dialogue	Mar 1, 2022	Contrastive LearningConversational Response Selection	—Unverified	0
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning	Nov 19, 2021	Contrastive LearningConversational Response Selection	—Unverified	0
Exploring Dense Retrieval for Dialogue Response Selection	Oct 13, 2021	Conversational Response SelectionRetrieval	CodeCode Available	1
Response Ranking with Multi-types of Deep Interactive Representations in Retrieval-based Dialogues	Aug 17, 2021	Conversational Response SelectionRetrieval	CodeCode Available	0
MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding	Jun 3, 2021	Conversational Response SelectionLanguage Modeling	CodeCode Available	1
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems	Jun 2, 2021	Computational EfficiencyConversational Response Selection	CodeCode Available	0
Fine-grained Post-training for Improving Retrieval-based Dialogue Systems	May 24, 2021	Conversational Response SelectionRetrieval	CodeCode Available	1
Open-domain question classification and completion in conversational information search	Feb 26, 2021	ClassificationConversational Response Selection	CodeCode Available	0
Dialogue Response Selection with Hierarchical Curriculum Learning	Dec 29, 2020	Conversational Response Selection	CodeCode Available	1
Dialogue Response Ranking Training with Large-Scale Human Feedback Data	Sep 15, 2020	Conversational Response SelectionOpen-Domain Dialog	CodeCode Available	1
Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues	Sep 14, 2020	Conversational Response SelectionRetrieval	—Unverified	0
Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection	Sep 10, 2020	Binary ClassificationConversational Response Selection	CodeCode Available	1
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots	Apr 7, 2020	Conversational Response SelectionDisentanglement	CodeCode Available	1
The World is Not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection	Apr 6, 2020	Conversational Response SelectionDiversity	—Unverified	0
Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots	Nov 16, 2019	Conversational Response SelectionRetrieval	CodeCode Available	0
ConveRT: Efficient and Accurate Conversational Representations from Transformers	Nov 9, 2019	Conversational Response Selectionintent-classification	CodeCode Available	1
Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems	Nov 1, 2019	Conversational Response SelectionRetrieval	—Unverified	0
Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots	Nov 1, 2019	Conversational Response SelectionRetrieval	CodeCode Available	0
TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots	Sep 24, 2019	Conversational Response SelectionRetrieval	CodeCode Available	0
Multi-Granularity Representations of Dialog	Aug 26, 2019	Conversational Response SelectionRetrieval	—Unverified	0
An Effective Domain Adaptive Post-Training Method for BERT in Response Selection	Aug 13, 2019	Conversational Response SelectionLanguage Modeling	CodeCode Available	0
DSTC7 Task 1: Noetic End-to-End Response Selection	Aug 1, 2019	Conversational Response SelectionGoal-Oriented Dialogue Systems	—Unverified	0
One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues	Jul 1, 2019	Conversational Response SelectionRetrieval	CodeCode Available	0
Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring	Apr 22, 2019	Conversational Response SelectionSentence	CodeCode Available	1
A Repository of Conversational Datasets	Apr 13, 2019	BIG-bench Machine LearningConversational Response Selection	CodeCode Available	0
Sequential Attention-based Network for Noetic End-to-End Response Selection	Jan 9, 2019	Conversational Response SelectionGoal-Oriented Dialog	CodeCode Available	1
Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots	Jan 7, 2019	Conversational Response SelectionDescriptive	CodeCode Available	0
Building Sequential Inference Models for End-to-End Response Selection	Dec 3, 2018	Conversational Response SelectionDescriptive	CodeCode Available	0
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	Oct 11, 2018	Citation Intent ClassificationCommon Sense Reasoning	CodeCode Available	3
Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network	Jul 1, 2018	ChatbotConversational Response Selection	CodeCode Available	0
Modeling Multi-turn Conversation with Deep Utterance Aggregation	Jun 24, 2018	Conversational Response SelectionRetrieval	CodeCode Available	0
Universal Sentence Encoder	Mar 29, 2018	Conversational Response SelectionSemantic Textual Similarity	CodeCode Available	1
Deep contextualized word representations	Feb 15, 2018	Citation Intent ClassificationConversational Response Selection	CodeCode Available	1
Personalizing Dialogue Agents: I have a dog, do you have pets too?	Jan 22, 2018	Conversational Response SelectionDialogue Generation	CodeCode Available	1
Addressee and Response Selection in Multi-Party Conversations with Speaker Interaction RNNs	Sep 12, 2017	Conversational Response Selection	CodeCode Available	0
Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots	Dec 6, 2016	Conversational Response SelectionRetrieval	CodeCode Available	0
Addressee and Response Selection for Multi-Party Conversation	Nov 1, 2016	Conversational Response SelectionShort-Text Conversation	CodeCode Available	0
Multi-view Response Selection for Human-Computer Conversation	Nov 1, 2016	Conversational Response Selection	—Unverified	0
Improved Deep Learning Baselines for Ubuntu Corpus Dialogs	Oct 13, 2015	Conversational Response SelectionDeep Learning	—Unverified	0
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems	Jun 30, 2015	Answer SelectionConversational Response Selection	CodeCode Available	0

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All datasets Ubuntu Dialogue (v1, Ranking)Douban E-commerce RRS DSTC7 Ubuntu PolyAI Reddit Ubuntu IRC RRS Ranking Test Persona-Chat PolyAI AmazonQA Advising Corpus personachat

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Dial-MAE	R10@1	0.92	—	Unverified
2	BERT-FP+EDHNS	R10@1	0.92	—	Unverified
3	Uni-Enc+BERT-FP	R10@1	0.92	—	Unverified
4	BERT-FP	R10@1	0.91	—	Unverified
5	BERT-UMS+FGC	R10@1	0.89	—	Unverified
6	Uni-Encoder	R10@1	0.89	—	Unverified
7	BERT-SL	R10@1	0.88	—	Unverified
8	Poly-encoder	R10@1	0.88	—	Unverified
9	UMS_BERT+	R10@1	0.88	—	Unverified
10	BERT-VFT	R10@1	0.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SEMSOL(W/o utterances)	MAP	0.65	—	Unverified
2	Uni-Enc+BERT-FP	MAP	0.65	—	Unverified
3	BERT-FP	MAP	0.64	—	Unverified
4	SEMSOL	MAP	0.64	—	Unverified
5	SA-BERT+HCL	MAP	0.64	—	Unverified
6	UMS_BERT+	MAP	0.63	—	Unverified
7	Uni-Encoder	MAP	0.62	—	Unverified
8	SA-BERT	MAP	0.62	—	Unverified
9	Poly-encoder	MAP	0.61	—	Unverified
10	BERT	MAP	0.59	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BERT-FP+EDHNS	R10@1	0.96	—	Unverified
2	DialMAE	R10@1	0.93	—	Unverified
3	BERT-TL	R10@1	0.93	—	Unverified
4	BERT-FP	R10@1	0.87	—	Unverified
5	BERT-SL	R10@1	0.78	—	Unverified
6	UMS_BERT+	R10@1	0.76	—	Unverified
7	SA-BERT+HCL	R10@1	0.72	—	Unverified
8	SA-BERT	R10@1	0.7	—	Unverified
9	IMN	R10@1	0.62	—	Unverified
10	U2U-IMN	R10@1	0.62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BERT-FP	MAP	0.7	—	Unverified
2	SA-BERT+BERT-FP	MAP	0.7	—	Unverified
3	SA-BERT+HCL	MAP	0.67	—	Unverified
4	BERT	MAP	0.63	—	Unverified
5	MSN	MAP	0.55	—	Unverified
6	DAM	MAP	0.51	—	Unverified
7	SMN	MAP	0.49	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Multi-context ConveRT	1-of-100 Accuracy	71.2	—	Unverified
2	Bi-encoder (v2)	1-of-100 Accuracy	70.9	—	Unverified
3	Bi-encoder	1-of-100 Accuracy	66.3	—	Unverified
4	Sequential Attention-based Network	1-of-100 Accuracy	64.5	—	Unverified
5	Sequential Inference Models	1-of-100 Accuracy	60.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Multi-context ConveRT	1-of-100 Accuracy	71.8	—	Unverified
2	ConveRT	1-of-100 Accuracy	68.3	—	Unverified
3	PolyAI Encoder	1-of-100 Accuracy	61.3	—	Unverified
4	USE	1-of-100 Accuracy	47.7	—	Unverified
5	ELMO	1-of-100 Accuracy	19.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MPC-BERT	Accuracy	63.64	—	Unverified
2	SA-BERT	Accuracy	60.42	—	Unverified
3	SIRNN	Accuracy	40.83	—	Unverified
4	Dynamic Modeling (n=10)	Accuracy	36.93	—	Unverified
5	DRNN	Accuracy	36.93	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Poly-encoder	NDCG@3	0.68	—	Unverified
2	SA-BERT+BERT-FP	NDCG@3	0.67	—	Unverified
3	BERT	NDCG@3	0.63	—	Unverified
4	BERT-FP	NDCG@3	0.61	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Uni-Encoder	MRR	0.92	—	Unverified
2	P5	R20@1	0.88	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ConveRT	1-of-100 Accuracy	84.3	—	Unverified
2	PolyAI Encoder	1-of-100 Accuracy	71.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CtxDec & -Rev	R@1	31	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	P5	R20@1	87.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PolyAI Encoder	1-of-100 Accuracy	30.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Uni-Encoder	R10@1	0.86	—	Unverified