Affect Enriched Word Embeddings for News Information Retrieval.
| Anthology ID: | DBLP:conf/sigir/TeofiliC19 |
|---|---|
| Volume: | Proceedings of the Third International Workshop on Recent Trends in News Information Retrieval, co-located with 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, France, July 25, 2019. |
| Year: | 2019 |
| Venue: | International Workshop on Recent Trends in News Information Retrieval (NewsIR) |
| Publisher: | CEUR-WS.org |
| Pages: | 63-68 |
| URL: | https://ceur-ws.org/Vol-2411/paper12.pdf |
| DBLP: | conf/sigir/TeofiliC19 |
| BibTeX: |
@inproceedings{teofili-2019-affect,
author = {Tommaso Teofili and
Niyati Chhaya},
editor = {M-Dyaa Albakour and
Miguel Martinez and
Sylvia Tippmann and
Ahmet Aker and
Jonathan Stray and
Shiri Dori-Hacohen and
Alberto Barr\'{o}n-Cede\~{n}o},
title = {{Affect Enriched Word Embeddings for News Information Retrieval}},
booktitle = {{Proceedings of the Third International Workshop on Recent Trends in News Information Retrieval, co-located with 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, France, July 25, 2019}},
series = {CEUR Workshop Proceedings},
volume = {2411},
pages = {63--68},
publisher = {CEUR-WS.org},
year = {2019},
url = {https://ceur-ws.org/Vol-2411/paper12.pdf}
}