Exploration of a Threshold for Similarity Based on Uncertainty in Word Embedding.
Navid Rekabsaz|Mihai Lupu|Allan Hanbury
| Anthology ID: | DBLP:conf/ecir/RekabsazLH17 |
|---|---|
| Volume: | Advances in Information Retrieval - 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings |
| Year: | 2017 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Pages: | 396-409 |
| URL: | https://doi.org/10.1007/978-3-319-56608-5_31 |
| DOI: | https://doi.org/10.1007/978-3-319-56608-5_31 |
| DBLP: | conf/ecir/RekabsazLH17 |
| BibTeX: |
@inproceedings{rekabsaz-2017-exploration,
author = {Navid Rekabsaz and
Mihai Lupu and
Allan Hanbury},
editor = {Joemon M. Jose and
Claudia Hauff and
Ismail Seng\"{o}r Alting\"{o}vde and
Dawei Song and
M-Dyaa Albakour and
Stuart N. K. Watt and
John Tait},
title = {{Exploration of a Threshold for Similarity Based on Uncertainty in Word Embedding}},
booktitle = {{Advances in Information Retrieval - 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings}},
series = {Lecture Notes in Computer Science},
volume = {10193},
pages = {396--409},
year = {2017},
url = {https://doi.org/10.1007/978-3-319-56608-5_31},
doi = {https://doi.org/10.1007/978-3-319-56608-5_31}
}