Probabilistic Word Embeddings in Neural IR: A Promising Model That Does Not Work as Expected (For Now).
Alberto Purpura|Marco Maggipinto|Gianmaria Silvello|Gian Antonio Susto
| Anthology ID: | DBLP:conf/ictir/PurpuraMSS19 |
|---|---|
| Volume: | Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019. |
| Year: | 2019 |
| Venue: | International Conference on the Theory of Information Retrieval (ICTIR) |
| Publisher: | ACM |
| Pages: | 3-10 |
| URL: | https://doi.org/10.1145/3341981.3344217 |
| DOI: | https://doi.org/10.1145/3341981.3344217 |
| DBLP: | conf/ictir/PurpuraMSS19 |
| BibTeX: |
@inproceedings{purpura-2019-probabilistic,
author = {Alberto Purpura and
Marco Maggipinto and
Gianmaria Silvello and
Gian Antonio Susto},
editor = {Yi Fang and
Yi Zhang and
James Allan and
Krisztian Balog and
Ben Carterette and
Jiafeng Guo},
title = {{Probabilistic Word Embeddings in Neural IR: A Promising Model That Does Not Work as Expected (For Now)}},
booktitle = {{Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019}},
pages = {3--10},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3341981.3344217},
doi = {https://doi.org/10.1145/3341981.3344217}
}