" Is There Anything Else I Can Help You With?" Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent

TH Huang, W Lasecki, A Azaria, J Bigham - Proceedings of the AAAI …, 2016 - ojs.aaai.org
Intelligent conversational assistants, such as Apple's Siri, Microsoft's Cortana, and Amazon's
Echo, have quickly become a part of our digital life. However, these assistants have major …

A crowd-AI collaborative duo relational graph learning framework towards social impact aware photo classification

Y Zhang, Z Kou, L Shang, H Zeng, Z Yue… - Proceedings of the AAAI …, 2023 - ojs.aaai.org
In artificial intelligence (AI), negative social impact (NSI) represents the negative effect on
the society as a result of mistakes conducted by AI agents. While the photo classification …

CRQA: crowd-powered real-time automatic question answering system

D Savenkov, E Agichtein - Proceedings of the AAAI Conference on …, 2016 - ojs.aaai.org
Modern search engines have made dramatic progress in answering questions about facts,
such as those that might be retrieved or directly inferred from a knowledge base. However …

[HTML][HTML] A Dialogue System That Models User Opinions Based on Information Content

Y Ohira, T Uchida, T Minato, H Ishiguro - Multimodal Technologies and …, 2022 - mdpi.com
When designing rule-based dialogue systems, the need for the creation of an elaborate
design by the designer is a challenge. One way to reduce the cost of creating content is to …

CI-Bot: a hybrid chatbot enhanced by crowdsourcing

X Liang, R Ding, M Lin, L Li, X Li, S Lu - Web and Big Data: APWeb-WAIM …, 2017 - Springer
Question and answer website is an effective way for people to get information from others.
Recently, chatbot has been more and more widely used. In this paper, we propose CI-Bot, a …

Future directions of query understanding

D Carmel, Y Chang, H Deng, JY Nie - Query Understanding for Search …, 2020 - Springer
Query understanding bridges the gap and establishes a communication channel between
the searcher and the search engine. An important challenge in question understanding is …

[PDF][PDF] Emory University at TREC LiveQA 2016: Combining Crowdsourcing and Learning-To-Rank Approaches for Real-Time Complex Question Answering.

D Savenkov, E Agichtein - TREC, 2016 - denxx.github.io
This paper describes the two QA systems we developed to participate in the TREC LiveQA
2016 shared task. The first run represents an improvement of our fully automatic real-time …

[PDF][PDF] Future Directions of Query Understanding

Y Chang, JY Nie - yichang-cs.com
Query understanding is to bridge the gap and establish the communication channel
between the searcher and the search engine. This raises a huge challenge for going …

[引用][C] Helping Chatbots To Better Understand User Requests Efficiently Using Human Computation

R Bapat - 2017