TY - GEN
T1 - Omiotis
T2 - European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2009
AU - Tsatsaronis, George
AU - Varlamis, Iraklis
AU - Vazirgiannis, Michalis
AU - Nørvåg, Kjetil
PY - 2009
Y1 - 2009
N2 - In this paper we present a new approach for measuring the relatedness between text segments, based on implicit semantic links between their words, as offered by a word thesaurus, namely WordNet. The approach does not require any type of training, since it exploits only WordNet to devise the implicit semantic links between text words. The paper presents a prototype on-line demo of the measure, that can provide word-to-word relatedness values, even for words of different part of speech. In addition the demo allows for the computation of relatedness between text segments.
AB - In this paper we present a new approach for measuring the relatedness between text segments, based on implicit semantic links between their words, as offered by a word thesaurus, namely WordNet. The approach does not require any type of training, since it exploits only WordNet to devise the implicit semantic links between text words. The paper presents a prototype on-line demo of the measure, that can provide word-to-word relatedness values, even for words of different part of speech. In addition the demo allows for the computation of relatedness between text segments.
UR - http://www.scopus.com/inward/record.url?scp=70349947381&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-04174-7_54
DO - 10.1007/978-3-642-04174-7_54
M3 - Contribución a la conferencia
AN - SCOPUS:70349947381
SN - 3642041736
SN - 9783642041730
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 742
EP - 745
BT - Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2009, Proceedings
Y2 - 7 September 2009 through 11 September 2009
ER -