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SotA/Natural Language Processing/Conversational Response Selection

Conversational Response Selection

35 benchmarks46 papers

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

Benchmarks

Conversational Response Selection on Ubuntu Dialogue (v1, Ranking)

R10@1R10@2R10@5R2@1

Conversational Response Selection on Douban

MAPMRRP@1R10@1R10@2R10@5

Conversational Response Selection on E-commerce

R10@1R10@2R10@5

Conversational Response Selection on RRS

MAPMRRP@1R10@1R10@2R10@5

Conversational Response Selection on Ubuntu IRC

Accuracy

Conversational Response Selection on RRS Ranking Test

NDCG@3NDCG@5

Conversational Response Selection on Persona-Chat

R20@1MRR

Conversational Response Selection on Advising Corpus

R@1R@10R@50

Conversational Response Selection on Ubuntu Dialogue (v2, Ranking)

R10@1R10@2R10@5

Conversational Response Selection on personachat

R20@1

Conversational Response Selection on DSTC7 Ubuntu

1-of-100 Accuracy

Conversational Response Selection on PolyAI AmazonQA

1-of-100 Accuracy

Conversational Response Selection on PolyAI OpenSubtitles

1-of-100 Accuracy

Conversational Response Selection on PolyAI Reddit

1-of-100 Accuracy