Search Results for author: Ke Zhou

Found 7 papers, 4 papers with code

Foreground Object Structure Transfer for Unsupervised Domain Adaptation

no code implementations14 Sep 2021 Jieren Cheng, Le Liu, Xiangyan Tang, Wenxuan Tu, Boyi Liu, Ke Zhou, Qiaobo Da, Yue Yang

In practice, since the label of the target domain is not available, we use the clustering information of the source domain to assign pseudo labels to the target domain samples, and then according to the source domain data prior knowledge guides those positive features to maximum the inter-class distance between different classes and mimimum the intra-class distance.

Unsupervised Domain Adaptation

POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling

1 code implementation7 Sep 2021 Zeyang Liu, Ke Zhou, Jiaxin Mao, Max L. Wilson

Conversational search systems, such as Google Assistant and Microsoft Cortana, provide a new search paradigm where users are allowed, via natural language dialogues, to communicate with search systems.

Conversational Search POS

What and How long: Prediction of Mobile App Engagement

no code implementations2 Jun 2021 Yuan Tian, Ke Zhou, Dan Pelleg

Based on the analysis, we further investigate a novel mobile app engagement prediction problem -- can we predict simultaneously what app the user will use next and how long he/she will stay on that app?

Meta-evaluation of Conversational Search Evaluation Metrics

1 code implementation27 Apr 2021 Zeyang Liu, Ke Zhou, Max L. Wilson

Conversational search systems, such as Google Assistant and Microsoft Cortana, enable users to interact with search systems in multiple rounds through natural language dialogues.

Conversational Search Informativeness

The Healthy States of America: Creating a Health Taxonomy with Social Media

no code implementations1 Mar 2021 Sanja Scepanovic, Luca Maria Aiello, Ke Zhou, Sagar Joglekar, Daniele Quercia

We validated the structure of our taxonomy against the official International Statistical Classification of Diseases and Related Health Problems (ICD-11), finding matches of our clusters with 20 official categories, out of 22.

Approximation of Response Knowledge Retrieval in Knowledge-grounded Dialogue Generation

1 code implementation Findings of the Association for Computational Linguistics 2020 Wen Zheng, Natasa Milic-Frayling, Ke Zhou

This paper is concerned with improving dialogue generation models through injection of knowledge, e. g., content relevant to the post that can increase the quality of responses.

Dialogue Generation

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