Search Results for author: Nissan Pow

Found 2 papers, 1 papers with code

Training End-to-End Dialogue Systems with the Ubuntu Dialogue Corpus

no code implementations • 1 Jan 2017 • Ryan Lowe, Nissan Pow, Iulian Vlad Serban, Laurent Charlin, Chia-Wei Liu, Joelle Pineau

In this paper, we analyze neural network-based dialogue systems trained in an end-to-end manner using an updated version of the recent Ubuntu Dialogue Corpus, a dataset containing almost 1 million multi-turn dialogues, with a total of over 7 million utterances and 100 million words.

Ranked #2 on Conversation Disentanglement on Linux IRC (Ch2 Kummerfeld)

Conversation Disentanglement Feature Engineering

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

21 code implementations • WS 2015 • Ryan Lowe, Nissan Pow, Iulian Serban, Joelle Pineau

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.

Ranked #25 on Conversational Response Selection on Ubuntu Dialogue (v1, Ranking)

Answer Selection Conversational Response Selection +1

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