Jordan Boyd-Graber
researcher
Facts
11 properties- Instance of
- human
- Date of birth
- May 23, 1982
- Occupation
- researcher, professor, computer scientist
- Official website
- legacydirs.umiacs.umd.edu[12]
- Doctoral advisor
- David M. Blei[7]
- Doctoral student
- Ke Zhai, Viet-An Nguyen, He He, Alvin Grissom, Mohit Iyyer, Yuening Hu
🏷️ Also known as
en Jordan Boyd-Graber
🔖 Identifiers · 13
- ISNI
- 0000000096383712
- ORCID iD
- 0000-0002-7770-4431
- VIAF cluster ID
- 142313225
- Library of Congress authority ID
- no2010130684
- GND ID
- 115640584X
- Academic Tree ID
- 463626
- DBLP author ID
- 57/5950
- Google Scholar author ID
- BT4XTP4AAAAJ
- IMDb ID
- nm10152563
- J! Archive player ID
- 12318
- MR Author ID
- 1008409
- Mathematics Genealogy Project ID
- 159324
Show all 13 identifiers +1
- X (Twitter) username
- boydgraber
🔗 Connections
Author of 32
Adapting Coreference Resolution Models through Active Learning,
A dataset and baselines for sequential open-domain question answering,
A Discriminative Topic Model using Document Network Structure,
ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling,
A Multilingual Topic Model for Learning Weighted Topic Links Across Corpora with Low Comparability,
Applications of Topic Models,
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization,
Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter
+24 more
← Authored by 32
Adapting Coreference Resolution Models through Active Learning,
A dataset and baselines for sequential open-domain question answering,
A Discriminative Topic Model using Document Network Structure,
ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling,
A Multilingual Topic Model for Learning Weighted Topic Links Across Corpora with Low Comparability,
Applications of Topic Models,
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization,
Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter
+24 more
Affiliated with 16
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