Alle: Sense repository for WSD
Activity
changed milestone to %1 Woche - Korpus, Preprocessing, Ansatz, Plan, Baseline
https://wiki.cl.uni-heidelberg.de/bin/view/Main/Resources/YAGO YAGO is a huge semantic knowledge base. Currently, YAGO knows more than 2 million entities (like persons, organizations, cities, etc.). It knows 20 million facts about these entities. Unlike many other automatically assembled knowledge bases, YAGO has a manually confirmed accuracy of 95%.
https://wiki.cl.uni-heidelberg.de/bin/view/Main/Resources/WordNet WordNet(R) is a large lexical database of English, developed under the direction of George A. Miller. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations.
https://wiki.cl.uni-heidelberg.de/bin/view/Main/Resources/Wikipedia-Similarity Wikipedia-Similarity is a Java library for querying Wikipedia and compute relatedness between words and phrases. kann man vlt auch nutzen
Danke, Uta!
Ich schlage Wikipedia als Sense Repository vor.
Unsere Test Data werden vermutlich Ergebnisse der Google Suche und Wikipedia muss gute coverage haben. Hier ist ein interessantes Paper dazu: https://www.researchgate.net/publication/220874752_Wikipedia_as_Sense_Inventory_to_Improve_Diversity_in_Web_Search_Results
Es werden Wikipedia vs. WordNet vergliechen. Hauptidee: "...Wikipedia has a much better coverage of search results..."
Edited by chernenkoUpdate:
YAGO 19 Gb compressed, 170 Gb uncompressed (https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/yago-naga/yago/downloads/)
If we want to start with a small part of YAGO, we can download one of the YAGO Themes (see Download YAGO Themes at https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/yago-naga/yago/downloads/)
We have to choose the proper part of YAGO to work with
http://wiki.dbpedia.org/downloads-2016-10 -- DBPEDIA
