Hyponymy and hypernymy
WordFinder
... We used short forms to label relations: for example, an stands for antonymy, he for hypernymy, ho for hyponymy, d for derivational relation; • form=first upper when at least one seed and[r] ...
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Inclusive yet Selective: Supervised Distributional Hypernymy Detection
... Figure 1 shows the distributions of z-scores for invCL for the four relations, with one graph for each of the three spaces we consider. For this illustration, we focus on invCL because it shows the overall best ...
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Network Features Based Co hyponymy Detection
... having hypernymy relation and words having co-hyponymy relation may be having similar kind of neighborhood in the DT network, and further research is needed to discriminate between these using network ...
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Learning Semantic Network Patterns for Hypernymy Extraction
... An alternative approach for learning pat- terns which is based on a surface instead of a syntactic representation was proposed by Morin et al. (Morin and Jaquemin, 2004). They investigate sentences containing pairs of ...
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A Large DataBase of Hypernymy Relations Extracted from the Web
... • Tuple normalization: At this stage we apply a post- processing tuple normalization: i) we transform all the capital letters to lower case and removed all leading and trailing punctuations. ii) we remove all quota- tion ...
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Improving an Ontology Refinement Method with Hyponymy Patterns
... for hyponymy patterns and then extracting the hyponymy rela- tionships can help improve this weak point in our algorithm because, when the extracted relationship is correct, it is usu- ally ...the ...
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Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning
... of hypernymy relations in WordNet concept ...leverage hypernymy relations in Probase (Wu et ...(ii) Hypernymy and other seman- tic relations (e.g., meronymy, co-hyponymy) are usually dif- ...
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Compositional Hyponymy with Positive Operators
... BLESS hyponymy subset (Ba- roni and Lenci, 2011), WBLESS (Weeds et ...the hypernymy suite pro- vided by Roller et ...exhibits hypernymy in either ...
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Improving Hypernymy Detection with an Integrated Path based and Distributional Method
... indicate hypernymy with varying degrees of ...indisputable hypernymy relations (Table 1), which we manually selected from the set of hyper- nymy indicating relations in Shwartz et ...(including ...
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Information Spreading in Expanding Wordnet Hypernymy Structure
... PWE hypernymy classifier: hfeminism, relationship, ...and hypernymy then hypernymy and antonymy, the subgraph is more likely to in- clude hypo/hypernymic paths than paths including antonymy links, ...
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Inducing Gazetteers for Named Entity Recognition by Large Scale Clustering of Dependency Relations
... For instance, Kazama and Torisawa 2007 used the hyponymy relations extracted from Wikipedia for the English NER, and reported improved accuracies with such a gazetteer.. We focused on th[r] ...
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A Vector Space for Distributional Semantics for Entailment
... Distributional semantics creates vector- space representations that capture many forms of semantic similarity, but their re- lation to semantic entailment has been less clear. We propose a vector-space model which ...
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Application of Coh Metrix 2 0 in Foreign Language Teaching and Research
... including Hyponymy readability, the average length of words, verbs and nouns and noun phrases defined before syntactic structure of word similarity average, average sentence length, structural similarity adjacent ...
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Resolving and Generating Definite Anaphora by Modeling Hypernymy using Unlabeled Corpora
... 3.2 WordNet-Model WN Because WordNet is considered as a standard re- source of lexical knowledge and is often used in coreference tasks, it is useful to know how well corpus-based approa[r] ...
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On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings
... encode hypernymy information, we use Poincar´e embed- dings, which – to the best of our knowledge – are used for the first time to accomplish the task of compositionality ...and hypernymy information via ...
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Boosting Precision and Recall of Hyponymy Relation Acquisition from Hierarchical Layouts in Wikipedia
... judge hyponymy rela- tions, for example whether they have the same attributes in common (Dowty et ...three hyponymy rela- tions whose hypernym and hyponym shared the last charac- ter were wrongly regarded ...
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Using LSA and Noun Coordination Information to Improve the Recall and Precision of Automatic Hyponymy Extraction
... ure in this case. While the relationship nitrogen < nu- trient is one of the many facts which go to make up the vast store of world-knowledge that an educated adult uses for reasoning, it is not a necessary property ...
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Robust Cross Lingual Hypernymy Detection Using Dependency Context
... Dependency Based Embeddings In monolin- gual settings, dependency based embeddings have been shown to outperform window based embed- dings on many tasks (Bansal et al., 2014; Hill et al., 2014; Melamud et al., 2016). ...
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Co STAR: A Co training Style Algorithm for Hyponymy Relation Acquisition from Structured and Unstructured Text
... extracted hyponymy relations consisting of pairs of Wikipedia category names and their mem- ber articles when the Wikipedia category name and the hypernym obtained from the definition of the Wikipedia article ...
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End to End Reinforcement Learning for Automatic Taxonomy Induction
... Finding high-quality hypernyms is of great impor- tance since it serves as the first step of taxonomy induction. In previous works, there are mainly two categories of approaches for hypernymy de- tection, namely ...
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