Set Expansion using Sibling Relations between Semantic Categories
نویسندگان
چکیده
Most set expansion algorithms assume to acquire new instances of different semantic categories independently even when we have seed instances of multiple semantic categories. However, in the setting of set expansion with multiple semantic categories, we might leverage other types of prior knowledge about semantic categories. In this paper, we present a method of set expansion when ontological information related to target semantic categories is available. More specifically, the proposed method makes use of sibling relations between semantic categories as an additional type of prior knowledge. We demonstrate the effectiveness of sibling relations in set expansion on the dataset in which instances and sibling relations are extracted from Wikipedia in a semi-automatic manner.
منابع مشابه
The Effect of Semantic Knowledge Expansion to Textual Entailment Recognition
This paper studies the effect of semantic knowledge expansion applied to the Textual Entailment Recognition task. In comparison to the already existing approaches we introduce a new set of similarity measures that captures hidden semantic relations among different syntactic categories in a sentence. The focus of our study is also centred on the synonym, antonym and verb entailment expansion of ...
متن کاملAcquiring Semantic Sibling Associations from Web Documents
The automated discovery of relationships among terms contributes to the automation of the ontology engineering process and allows for sophisticated query expansion in information retrieval. While there are many findings on the identification of direct hierarchical relations among concepts, less attention has been paid on the discovery sibling terms. These are terms that share a common, a priori...
متن کاملSet Expansion of Contextual Semantic Relations: an Alternative to Full Corpus Annotation for Supervised Classification
Recent approaches for classi ̄cation of semantic relations are based on supervised learning using large training datasets. Due to the high cost of annotating such data and to the class imbalance problem, alternatives for minimizing the e®ort of full corpus annotation are required. In set expansion, one of such alternatives, given a small initial training set, new relevant instances are acquired ...
متن کاملCombining Rule-Based Methods and Latent Semantic Analysis for Ontology Structure Construction
We report on a pilot study of techniques for organizing terms derived from relevant corpora into semantic clusters. We combine rule-based techniques and an unsupervised statistical method to semantically cluster terms extracted from medical reports. The rule-based approach identifies lexicosyntactic patterns suggestive of parent-child relations and coordination structures suggestive of sibling-...
متن کاملSex and Seniority: The Effects of Linguistic Categories on Conceptual Judgments and Memory
The current study explored the effects of different semantic categories in kinship terms on similarity judgments, word extensions, and recognition memory. We compared Indonesian – in which sibling terms are based on relative age – with English – in which sibling terms are based on gender. In Experiment 1, participants saw triads of pictures of scenes involving kinship relations and were asked t...
متن کامل