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A Wordnet from the Ground Up

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1.1. Motivation 13Affect (Strapparava and Valitutti, 2004), an additional hierarchy of “affective domainlabels” added to PWN, or WordNet Domains (Bentivogli et al., 2004), a grouping ofPWN synsets and labelling <strong>the</strong>m by domain. O<strong>the</strong>r resources – FrameNet (Ruppenhoferet al., 2002) and PropBank (Palmer et al., 2005) are representative examples – have beenmotivated by <strong>the</strong> intention to address PWN’s drawbacks or to add missing information(Miller and Fellbaum, 2007).Finally, PWN has inspired research projects that aim to enrich <strong>the</strong> resource itself,e.g. manually created ratings describing <strong>the</strong> strength of association between two concepts(represented by two synsets) (Boyd-Graber et al., 2006) or <strong>the</strong> enrichment ofPWN with folk knowledge and stereotypes (Veale and Hao, 2008).The growing amount of research carried out on wordnets, based on wordnets anddone around wordnets has inspired <strong>the</strong> organisation of <strong>the</strong> First Global <strong>Wordnet</strong> Conference[GWC] (Mysore, India) supported by <strong>the</strong> Global WordNet Association (GWA,2008a) [GWA]. There ensued a series of successful biennial conferences. Workshopsand sessions dedicated to wordnets and <strong>the</strong>ir applications take place at larger conferences.Seven events are listed on <strong>the</strong> GWA Web page (GWA, 2008a); o<strong>the</strong>rs include<strong>the</strong> “Workshop on Usage of WordNet in Natural Language Processing Systems” duringCOLING/ACL’98 or “WordNet Special Track” during Language and TechnologyConference in 2007.Google Scholar 5 returned (on June 6, 2009) 4217 citations for (Fellbaum, 1998c)and 1336 for (Miller et al., 1990). There are thousands of citations to less wellreferencedPWN-related papers.1.1.4 <strong>Wordnet</strong>s out <strong>the</strong>reThe seminal project Euro<strong>Wordnet</strong> (EWN) (Vossen, 2002) was initiated in 1996. TheEWN project was aimed at developing wordnets for a number European languages,first Dutch, Italian and Spanish (PWN already covered English), and <strong>the</strong>n Czech,Estonian, French and German. All wordnets were mutually aligned via <strong>the</strong> mediatingmapping into Inter-Lingual Index introduced by <strong>the</strong> EWN project. Its records consistof an English synset, an English gloss that specifies <strong>the</strong> meaning and a reference to itssource – to a synset in PWN 1.5. An upper-level ontology called Top Ontology, linkedto Inter-Lingual Index, was also introduced in order to “to provide a common frameworkfor <strong>the</strong> most important concepts in all <strong>the</strong> wordnets” (Vossen, 2002, p. 10). Thisorientation on <strong>the</strong> construction of aligned wordnets influenced <strong>the</strong> methods developedin EWN. We will return to this issue in Section 1.3.1.The BalkaNet project (Tufiş et al., 2004) inherited <strong>the</strong> main assumptions and solutions<strong>from</strong> EWN. BalkaNet covered Bulgarian, Greek, Romanian, Serbian and Turkish,5 http://scholar.google.com

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