A Formal and Empirical Study of Unsupervised Signal Combination for Textual Similarity Tasks.
Enrique Amigó|Fernando Giner|Julio Gonzalo|Felisa Verdejo
| Anthology ID: | DBLP:conf/ecir/AmigoGGV17 |
|---|---|
| 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: | 369-382 |
| URL: | https://doi.org/10.1007/978-3-319-56608-5_29 |
| DOI: | https://doi.org/10.1007/978-3-319-56608-5_29 |
| DBLP: | conf/ecir/AmigoGGV17 |
| BibTeX: |
@inproceedings{amigo-2017-formal,
author = {Enrique Amig\'{o} and
Fernando Giner and
Julio Gonzalo and
Felisa Verdejo},
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 = {{A Formal and Empirical Study of Unsupervised Signal Combination for Textual Similarity Tasks}},
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 = {369--382},
year = {2017},
url = {https://doi.org/10.1007/978-3-319-56608-5_29},
doi = {https://doi.org/10.1007/978-3-319-56608-5_29}
}