Mapping General-Specific Noun Relationships to WordNet Hypernym/Hyponym Relations
نویسندگان
چکیده
In this paper, we propose a new methodology based on directed graphs and the TextRank algorithm to automatically induce general-specific noun relations from web corpora frequency counts. Different asymmetric association measures are implemented to build the graphs upon which the TextRank algorithm is applied and produces an ordered list of nouns from the most general to the most specific. Experiments are conducted based on the WordNet noun hierarchy and both quantitative and qualitative evaluations are proposed.
منابع مشابه
An Application of WordNet to Prepositional Attachment
This paper presents a method for word sense disambiguation and coherence understanding of prepositional relations. The method relies on information provided by WordNet 1.5. We rst classify preposi-tional attachments according to semantic equivalence of phrase heads and then apply inferential heuristics for understanding the validity of prepositional structures. 1 Problem description In this pap...
متن کاملCS 224N Class Project Automatic Hypernym Classification
Hypernym classification is the task of deciding whether, given two words, one word “is a kind of” the other. We present a classifier that learns the noun hypernym relation based on automatically-discovered lexico-syntactic patterns between a set of provided hyponym/hypernym noun pairs. This classifier is shown to outperform two previous methods for automatically identifying hypernym pairs (usin...
متن کاملSemantic Taxonomy Induction from Heterogenous Evidence
We propose a novel algorithm for inducing semantic taxonomies. Previous algorithms for taxonomy induction have typically focused on independent classifiers for discovering new single relationships based on hand-constructed or automatically discovered textual patterns. By contrast, our algorithm flexibly incorporates evidence from multiple classifiers over heterogenous relationships to optimize ...
متن کاملOn the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies
Taxonomy is indispensable in understanding natural language. A variety of large scale, usage-based, data-driven lexical taxonomies have been constructed in recent years. Hypernym-hyponym relationship, which is considered as the backbone of lexical taxonomies can not only be used to categorize the data but also enables generalization. In particular, we focus on one of the most prominent properti...
متن کاملWord net based Method for Determining Semantic Sentence Similarity through various Word Senses
Semantic similarity is a confidence score that replicates semantic equivalence between the meanings of two sentences. Determining the similarity among sentences is one of the critical tasks which have a wide-ranging impact in recent NLP applications. This paper presents a method for identifying semantic sentence similarity among sentences using semantic relation of word senses across the differ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008