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09/20/2021
Crowdsourcing Diverse Paraphrases for Training Task-oriented Bots
A prominent approach to build datasets for training task-oriented bots i...
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07/28/2021
On the state of reporting in crowdsourcing experiments and a checklist to aid current practices
Crowdsourcing is being increasingly adopted as a platform to run studies...
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05/23/2021
A Query Language for Summarizing and Analyzing Business Process Data
In modern enterprises, Business Processes (BPs) are realized over a mix ...
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02/01/2021
An Internet of Things Service Roadmap
We propose a roadmap for leveraging the tremendous opportunities the Int...
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11/05/2020
On the impact of predicate complexity in crowdsourced classification tasks
This paper explores and offers guidance on a specific and relevant probl...
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11/05/2020
Challenges and strategies for running controlled crowdsourcing experiments
This paper reports on the challenges and lessons we learned while runnin...
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09/07/2020
Chatbot integration in few patterns
Chatbots are software agents that are able to interact with humans in na...
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08/19/2020
Automatic Generation of Chatbots for Conversational Web Browsing
In this paper, we describe the foundations for generating a chatbot out ...
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09/06/2019
CrowdHub: Extending crowdsourcing platforms for the controlled evaluation of tasks designs
We present CrowdHub, a tool for running systematic evaluations of task d...
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09/06/2019
Understanding the Impact of Text Highlighting in Crowdsourcing Tasks
Text classification is one of the most common goals of machine learning ...
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05/26/2019
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns
Cross-domain recommendation has long been one of the major topics in rec...
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04/01/2019
Combining Crowd and Machines for Multi-predicate Item Screening
This paper discusses how crowd and machine classifiers can be efficientl...
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10/26/2018
Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network
Community Question Answering (CQA) websites can be claimed as the most m...
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08/16/2018
Adversarial Collaborative Auto-encoder for Top-N Recommendation
During the past decade, model-based recommendation methods have evolved ...
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08/03/2018
Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships
Knowledge acquisition and exchange are generally crucial yet costly for ...
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07/15/2018
A Survey on Expert Recommendation in Community Question Answering
Community question answering (CQA) represents the type of Web applicatio...
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06/21/2018
GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest
Random forest and deep neural network are two schools of effective class...
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05/31/2018
CrowdRev: A platform for Crowd-based Screening of Literature Reviews
In this paper and demo we present a crowd and crowd+AI based system, cal...
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05/10/2018
A Unified Knowledge Representation and Context-aware Recommender System in Internet of Things
Within the rapidly developing Internet of Things (IoT), numerous and div...
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05/09/2018
Opinion Fraud Detection via Neural Autoencoder Decision Forest
Online reviews play an important role in influencing buyers' daily purch...
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03/21/2018
Crowd-Machine Collaboration for Item Screening
In this paper we describe how crowd and machine classifier can be effici...
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03/21/2018
Crowd-based Multi-Predicate Screening of Papers in Literature Reviews
Systematic literature reviews (SLRs) are one of the most common and usef...
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01/08/2018
Quality Control in Crowdsourcing: A Survey of Quality Attributes, Assessment Techniques and Assurance Actions
Crowdsourcing enables one to leverage on the intelligence and wisdom of ...
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11/15/2017
Programming Bots by Synthesizing Natural Language Expressions into API Invocations
At present, bots are still in their preliminary stages of development. M...
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09/15/2017
Crowdsourcing Paper Screening in Systematic Literature Reviews
Literature reviews allow scientists to stand on the shoulders of giants,...
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12/10/2016