Using Wordnet hierarchies to pinpoint differences in related texts
نویسندگان
چکیده
We present a means of comparing texts to highlight their informational differences. The system builds a Directed Acyclic Graph representation of the combined WordNet hypernym hierarchies of the nouns. Comparison of these yields a graph which distinguishes minor lexical & major content differences.
منابع مشابه
Automatic Construction of Persian ICT WordNet using Princeton WordNet
WordNet is a large lexical database of English language, in which, nouns, verbs, adjectives, and adverbs are grouped into sets of cognitive synonyms (synsets). Each synset expresses a distinct concept. Synsets are interlinked by both semantic and lexical relations. WordNet is essentially used for word sense disambiguation, information retrieval, and text translation. In this paper, we propose s...
متن کاملAligning FrameNet and WordNet based on Semantic Neighborhoods
This paper presents an algorithm for aligning FrameNet lexical units to WordNet synsets. Both, FrameNet and WordNet, are well-known as well as widely-used resources by the entire research community. They help systems in the comprehension of the semantics of texts, and therefore, finding strategies to link FrameNet and WordNet involves challenges related to a better understanding of the human la...
متن کاملحسنگار : شبکه واژگان حسی فارسی
Awareness of others' opinions plays a crucial role in the decision making process performed by simple customers to top-level executives of manufacturing companies and various organizations. Today, with the advent of Web 2.0 and the expansion of social networks, a vast number of texts related to people's opinions have been created. However, exploring the enormous amount of documents, various opi...
متن کاملResolving Relative Clause Attachment Ambiguities using Machine Learning Techniques and WordNet Hierarchies
We describe an approach for resolving relative clause attachment ambiguities using machine learning techniques and WordNet hierarchies. When the relative clause is preceded by the pattern NP1 Prep NP2, a decision has to be made between local and wide attachment. We train a network to make this decision and conclude that knowledge sources like WordNet have a constructive role to play in making s...
متن کاملDocument Classifications based on Word Semantic Hierarchies
In this paper we proposed to automatically classify documents based on the meanings of words and the relationships between groups of meanings or concepts. Our proposed classification algorithm builds on the word structures provided by WordNet, which not only arranges words into groups of synonyms, called Synsets, but also arranges the Synsets into hierarchies representing the relationships betw...
متن کامل