- Anthology ID:
- D16-1152
- Volume:
- Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- Month:
- November
- Year:
- 2016
- Address:
- Austin, Texas
- Editors:
- Jian Su, Kevin Duh, Xavier Carreras
- Venue:
- EMNLP
- SIG:
- SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1452–1461
- Language:
- URL:
- https://aclanthology.org/D16-1152
- DOI:
- 10.18653/v1/D16-1152
- Cite (ACL):
- Yi Yang, Ming-Wei Chang, and Jacob Eisenstein. 2016. Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 1452–1461, Austin, Texas. Association for Computational Linguistics.
- Cite (Informal):
- Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities (Yang et al., EMNLP 2016)
- PDF:
- https://preview.aclanthology.org/naacl24-info/D16-1152.pdf