Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideas

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

Reference100 articles.

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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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