TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Müller, Mark-Christoph
ED  - Kamps, Jaap
ED  - Tsakonas, Giannis
ED  - Manolopoulos, Yannis
ED  - Iliadis, Lazaros
ED  - Karydis, Ioannis
T1  - Semantic author name disambiguation with word embeddings
T2  - Research and Advanced Technology for Digital Libraries. 21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017, Thessaloniki, Greece, September 18-21, 2017, Proceedings
N2  - We present a supervised machine learning AND system which tackles semantic similarity between publication titles by means of word embeddings. Word embeddings are integrated as external components, which keeps the model small and efficient, while allowing for easy extensibility and domain adaptation. Initial experiments show that word embeddings can improve the Recall and F score of the binary classification sub-task of AND. Results for the clustering sub-task are less clear, but also promising and overall show the feasibility of the approach.
T3  - Lecture Notes in Computer Science - 10450 
KW  - author name disambiguation
KW  - semantic similarity
KW  - word embeddings
KW  - classification
KW  - clustering
KW  - Maschinelles Lernen
KW  - Veröffentlichung
KW  - Deep learning
KW  - Semantik
KW  - Computerlinguistik
KW  - machine learning
KW  - deep learning
Y1  - 2017
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-111355
SN  - 1611-3349
SS  - 1611-3349
SN  - 978-3-319-67008-9
SB  - 978-3-319-67008-9
U6  - https://doi.org/10.1007/978-3-319-67008-9_24
DO  - https://doi.org/10.1007/978-3-319-67008-9_24
SP  - 300
EP  - 311
PB  - Springer
CY  - Cham
ER  -