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Conversational Response Selection

18 papers with code · Natural Language Processing

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The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems

WS 2015 facebookresearch/ParlAI

This paper introduces the Ubuntu Dialogue Corpus, a dataset containing almost 1 million multi-turn dialogues, with a total of over 7 million utterances and 100 million words.

ANSWER SELECTION CONVERSATIONAL RESPONSE SELECTION

A Repository of Conversational Datasets

WS 2019 PolyAI-LDN/conversational-datasets

Progress in Machine Learning is often driven by the availability of large datasets, and consistent evaluation metrics for comparing modeling approaches.

CONVERSATIONAL RESPONSE SELECTION DIALOGUE UNDERSTANDING

Sequential Attention-based Network for Noetic End-to-End Response Selection

9 Jan 2019alibaba/esim-response-selection

The noetic end-to-end response selection challenge as one track in Dialog System Technology Challenges 7 (DSTC7) aims to push the state of the art of utterance classification for real world goal-oriented dialog systems, for which participants need to select the correct next utterances from a set of candidates for the multi-turn context.

CONVERSATIONAL RESPONSE SELECTION GOAL-ORIENTED DIALOG

Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network

ACL 2018 baidu/Dialogue

Human generates responses relying on semantic and functional dependencies, including coreference relation, among dialogue elements and their context.

CHATBOT CONVERSATIONAL RESPONSE SELECTION

Modeling Multi-turn Conversation with Deep Utterance Aggregation

COLING 2018 cooelf/DeepUtteranceAggregation

In this paper, we formulate previous utterances into context using a proposed deep utterance aggregation model to form a fine-grained context representation.

CONVERSATIONAL RESPONSE SELECTION

Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

22 Apr 2019sfzhou5678/PolyEncoder

The use of deep pre-trained bidirectional transformers has led to remarkable progress in a number of applications (Devlin et al., 2018).

CONVERSATIONAL RESPONSE SELECTION

Dialogue Response Ranking Training with Large-Scale Human Feedback Data

15 Sep 2020golsun/DialogRPT

Particularly, our ranker outperforms the conventional dialog perplexity baseline with a large margin on predicting Reddit feedback.

CONVERSATIONAL RESPONSE SELECTION