Search Results for author: Walter S. Lasecki

Found 7 papers, 2 papers with code

HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop

no code implementations ACL 2019 Yiwei Yang, Eser Kandogan, Yunyao Li, Walter S. Lasecki, Prithviraj Sen

While the role of humans is increasingly recognized in machine learning community, representation of and interaction with models in current human-in-the-loop machine learning (HITL-ML) approaches are too low-level and far-removed from human's conceptual models.

BIG-bench Machine Learning

"Is there anything else I can help you with?": Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent

no code implementations10 Aug 2017 Ting-Hao Kenneth Huang, Walter S. Lasecki, Amos Azaria, Jeffrey P. Bigham

To address this problem, we developed a crowd-powered conversational assistant, Chorus, and deployed it to see how users and workers would interact together when mediated by the system.

Sentence

Understanding Task Design Trade-offs in Crowdsourced Paraphrase Collection

no code implementations ACL 2017 Youxuan Jiang, Jonathan K. Kummerfeld, Walter S. Lasecki

Linguistically diverse datasets are critical for training and evaluating robust machine learning systems, but data collection is a costly process that often requires experts.

Paraphrase Generation

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