While shortest paths in WordNet are known to correlate well with semantic similarity, an is-a hierarchy is less suited for estimating semantic relatedness. We demonstrate this by comparing two free scale networks ( ConceptNet and Wikipedia) to WordNet. Using the Finkelstein353 dataset we show that a shortest path metric run on Wikipedia attains a better correlation than WordNet-based metrics. C...

This paper describes the process of automatically adding synsets and hypernymy relations to an existing wordnet based on word embeddings computed for POStagged lemmas in a large news corpus, achieving exact match attachment accuracy of over 80%. The reported experiments are based on the Norwegian Wordnet, but the method is language independent and also applicable to other wordnets. Moreover, th...

This paper presents a simple method for finding new synonym candidates for a bilingual wordnet by using another bilingual resource. Our goal is to add new synonyms to the existing synsets of the Finnish WordNet, which has direct word sense translation correspondences to the Princeton WordNet. For this task, we use Wikipedia and its links between the articles of the same topic in Finnish and Eng...

In this paper, we present an approach for merging fine-grained verb senses of Hindi WordNet. Senses are merged based on gloss similarity score. We explore the use of word embeddings for gloss similarity computation and compare with various WordNet based gloss similarity measures. Our results indicate that word embeddings show significant improvement over WordNet based measures. Consequently, we...

While shortest paths in WordNet are known to correlate well with semantic similarity, an is-a hierarchy is less suited for estimating semantic relatedness. We demonstrate this by comparing two free scale networks ( ConceptNet and Wikipedia) to WordNet. Using the Finkelstein353 dataset we show that a shortest path metric run on Wikipedia attains a better correlation than WordNet-based metrics. C...

WordNet has been used in information retrieval research by many researchers, but failed to improve the performance of their retrieval system. Thereby in this paper we investigate why the use of WordNet has not been successful. Based on this analysis we propose a method of making WordNet more useful in information retrieval applications. Experiments using several standard information retrieval t...

This paper summarizes the development process of a wordnet for Turkish as part of the Balkanet project. After discussing the basic methodological issues that had to be resolved during the course of the project, the paper presents the basic steps of the construction process in chronological order. Two applications using Turkish wordnet are summarized and links to resources for wordnet builders a...

Opinion Mining or Sentiment Analysis (SA) is a key component of E-commerce applications where vast number reviews are generated by customers. SA operates on aspect level the views expressed specific product and have big influence customers’ choices businesses’ reputation. Aspect Based (ABSA) task categorizing text identifying sentiment attributed to it. Implicit Identification (IAI) subtask ABS...

This paper describes WordNet design and development, discussing its origins, the objectives it initially intended to reach and the subsequent use to which it has been put, the factor that has determined its structure and success. The emphasis in this description of the product is on its main applications, given the instrumental nature of WordNet, and on the improvements and upgrades of the tool...

This paper describes an experiment in using Amazon Mechanical Turk to collaboratively create a sense inventory. In a bootstrapping process with massive collaborative input, substitutions for target words in context are elicited and clustered by sense; then more contexts are collected. Contexts that cannot be assigned to a current target word’s sense inventory re-enter the loop and get a supply ...