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} }