Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideas-Reference-Cited by-同舟云学术

Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideas

Published:2022-04-27 Issue: Volume: Page:
ISSN:
Container-title:CHI Conference on Human Factors in Computing Systems
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Author:

Hope Tom¹,Tamari Ronen²,Hershcovich Daniel³,Kang Hyeonsu B⁴,Chan Joel⁵,Kittur Aniket⁶,Shahaf Dafna⁷

Affiliation:

1. Allen Institute, United States and CSE, University of Washington, United States

2. Hebrew University of Jerusalem, Israel

3. Computer science, University of Copenhagen, Denmark

4. Human-Computer Interaction Institute, Carnegie Mellon University, United States

5. College of Information Studies, University of Maryland, United States

6. Human Computer Interaction Institute, Carnegie Mellon University, United States

7. School of Computer Science and Engineering, The Hebrew University of Jerusalem, Israel

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3491102.3517434

Reference100 articles.

1. 2013. The car mechanic who uncorked a childbirth revolution. BBC News ( 2013 ). 2013. The car mechanic who uncorked a childbirth revolution. BBC News (2013).

2. A Multi-task Approach for Named Entity Recognition in Social Media Data

3. A. Akbik , T. Bergmann , D. Blythe , K. Rasul , S. Schweter , and R. Vollgraf . 2019 . FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP. In NAACL-HLT. A. Akbik, T. Bergmann, D. Blythe, K. Rasul, S. Schweter, and R. Vollgraf. 2019. FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP. In NAACL-HLT.

4. A. Akbik T. Bergmann and R. Vollgraf. 2019. Pooled contextualized embeddings for named entity recognition. In NAACL. A. Akbik T. Bergmann and R. Vollgraf. 2019. Pooled contextualized embeddings for named entity recognition. In NAACL.

5. A. Akbik , D. Blythe , and R. Vollgraf . 2018. Contextual string embeddings for sequence labeling . In International Conference on Computational Linguistics. A. Akbik, D. Blythe, and R. Vollgraf. 2018. Contextual string embeddings for sequence labeling. In International Conference on Computational Linguistics.

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