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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...

0 Jorge Ramirez, et al. ∙

∙ 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...

0 Jorge Ramirez, et al. ∙

∙ 05/23/2021

A Query Language for Summarizing and Analyzing Business Process Data

In modern enterprises, Business Processes (BPs) are realized over a mix ...

0 Amin Beheshti, et al. ∙

∙ 02/01/2021

An Internet of Things Service Roadmap

We propose a roadmap for leveraging the tremendous opportunities the Int...

0 Athman Bouguettaya, et al. ∙

∙ 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...

0 Jorge Ramirez, et al. ∙

∙ 11/05/2020

Challenges and strategies for running controlled crowdsourcing experiments

This paper reports on the challenges and lessons we learned while runnin...

0 Jorge Ramirez, et al. ∙

∙ 09/07/2020

Chatbot integration in few patterns

Chatbots are software agents that are able to interact with humans in na...

0 Marcos Baez, et al. ∙

∙ 08/19/2020

Automatic Generation of Chatbots for Conversational Web Browsing

In this paper, we describe the foundations for generating a chatbot out ...

0 Pietro Chittò, et al. ∙

∙ 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...

0 Jorge Ramirez, et al. ∙

∙ 09/06/2019

Understanding the Impact of Text Highlighting in Crowdsourcing Tasks

Text classification is one of the most common goals of machine learning ...

0 Jorge Ramirez, et al. ∙

∙ 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...

0 Feng Yuan, et al. ∙

∙ 04/01/2019

Combining Crowd and Machines for Multi-predicate Item Screening

This paper discusses how crowd and machine classifiers can be efficientl...

0 Evgeny Krivosheev, et al. ∙

∙ 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...

0 Chaoran Huang, et al. ∙

∙ 08/16/2018

Adversarial Collaborative Auto-encoder for Top-N Recommendation

During the past decade, model-based recommendation methods have evolved ...

0 Feng Yuan, et al. ∙

∙ 08/03/2018

Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships

Knowledge acquisition and exchange are generally crucial yet costly for ...

0 Chaoran Huang, et al. ∙

∙ 07/15/2018

A Survey on Expert Recommendation in Community Question Answering

Community question answering (CQA) represents the type of Web applicatio...

0 Xianzhi Wang, et al. ∙

∙ 06/21/2018

GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest

Random forest and deep neural network are two schools of effective class...

0 Manqing Dong, et al. ∙

∙ 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...

0 Jorge Ramirez, et al. ∙

∙ 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...

0 Yinhao Li, et al. ∙

∙ 05/09/2018

Opinion Fraud Detection via Neural Autoencoder Decision Forest

Online reviews play an important role in influencing buyers' daily purch...

0 Manqing Dong, et al. ∙

∙ 03/21/2018

Crowd-Machine Collaboration for Item Screening

In this paper we describe how crowd and machine classifier can be effici...

0 Evgeny Krivosheev, et al. ∙

∙ 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...

0 Evgeny Krivosheev, et al. ∙

∙ 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 ...

0 Florian Daniel, et al. ∙

∙ 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...

0 Shayan Zamanirad, et al. ∙

∙ 09/15/2017

Crowdsourcing Paper Screening in Systematic Literature Reviews

Literature reviews allow scientists to stand on the shoulders of giants,...

0 Evgeny Krivosheev, et al. ∙

∙ 12/10/2016

Data Curation APIs

Understanding and analyzing big data is firmly recognized as a powerful ...

0 Seyed-Mehdi-Reza Beheshti, et al. ∙

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