Uses of Class
de.tuebingen.uni.sfs.germanet.relatedness.RelatednessResult

Packages that use RelatednessResult
de.tuebingen.uni.sfs.germanet.relatedness   
 

Uses of RelatednessResult in de.tuebingen.uni.sfs.germanet.relatedness
 

Methods in de.tuebingen.uni.sfs.germanet.relatedness that return RelatednessResult
 RelatednessResult Relatedness.hirstAndStOnge(de.tuebingen.uni.sfs.germanet.api.Synset s1, de.tuebingen.uni.sfs.germanet.api.Synset s2)
          Relatedness according to Hirst and St-Onge 1998: "Lexical chains as representations of context for the detection and correction of malapropisms".
 RelatednessResult Relatedness.hirstAndStOnge(de.tuebingen.uni.sfs.germanet.api.Synset s1, de.tuebingen.uni.sfs.germanet.api.Synset s2, double c, double k)
          Relatedness according to Hirst and St-Onge 1995: "Lexical chains as representations of context for the detection and correction of malapropisms".
 RelatednessResult Relatedness.jiangAndConrath(de.tuebingen.uni.sfs.germanet.api.Synset s1, de.tuebingen.uni.sfs.germanet.api.Synset s2, java.util.HashMap<java.lang.String,java.lang.Long> freqs)
          Relatedness according to Jiang and Conrath 1997: "Semantic Relatedness Based on Corpus Statistics and Lexical Taxonomy"
 RelatednessResult Relatedness.leacockAndChodorow(de.tuebingen.uni.sfs.germanet.api.Synset a, de.tuebingen.uni.sfs.germanet.api.Synset b)
          Relatedness according to Leacock&Chodorow, 1998: "Combining Local Context and WordNet Relatedness for Word Sense Identification".
 RelatednessResult Relatedness.lesk(de.tuebingen.uni.sfs.germanet.api.Synset s1, de.tuebingen.uni.sfs.germanet.api.Synset s2, de.tuebingen.uni.sfs.germanet.api.GermaNet gnet)
          Extended Lesk relatedness (original Lesk 1987: "Automatic sense disambiguation using machine readable dictionaries: How to tell a pine cone from a ice cream cone.") using lexical field (or 'pseudo-glosses', losely following Gurevych 2005: "Using the Structure of a Conceptual Network in Computing Semantic Relatedness").
 RelatednessResult Relatedness.lesk(de.tuebingen.uni.sfs.germanet.api.Synset s1, de.tuebingen.uni.sfs.germanet.api.Synset s2, de.tuebingen.uni.sfs.germanet.api.GermaNet gnet, org.tartarus.snowball.SnowballStemmer stemmer, int size, int limit, boolean oneOrthForm, boolean hypernymsOnly, boolean includeGermanetGloss, boolean includeWiktionaryGlosses)
          Extended Lesk relatedness (original Lesk 1987: "Automatic sense disambiguation using machine readable dictionaries: How to tell a pine cone from a ice cream cone.") using lexical field (or 'pseudo-glosses', losely following Gurevych 2005: "Using the Structure of a Conceptual Network in Computing Semantic Relatedness").
 RelatednessResult Relatedness.lin(de.tuebingen.uni.sfs.germanet.api.Synset s1, de.tuebingen.uni.sfs.germanet.api.Synset s2, java.util.HashMap<java.lang.String,java.lang.Long> freqs)
          Relatedness according to Lin 1998: "An Information-Theoretic Definition of Relatedness"
 RelatednessResult Relatedness.path(de.tuebingen.uni.sfs.germanet.api.Synset s1, de.tuebingen.uni.sfs.germanet.api.Synset s2)
          A very simple relatedness measure.
 RelatednessResult Relatedness.resnik(de.tuebingen.uni.sfs.germanet.api.Synset c1, de.tuebingen.uni.sfs.germanet.api.Synset c2, java.util.HashMap<java.lang.String,java.lang.Long> freqs)
          Relatedness according to Resnik 1995: "Using Information Content to Evaluate Semantic Relatedness in a Taxonomy".
 RelatednessResult Relatedness.wuAndPalmer(de.tuebingen.uni.sfs.germanet.api.Synset c1, de.tuebingen.uni.sfs.germanet.api.Synset c2)
          Relatedness/Similarity according to Wu and Palmer, 1994: "Verb Semantics and Lexical Selection"