many textbooks include semantically related words and sometimes teachers add synonyms, antonyms, etc. to the words in order to present new vocabulary items without questioning the possible effects. this study sought to investigate the effect of teaching vocabulary through synonym, semantically unrelated, and hyponym sets based on higa’s (1963) proposed continuum. a total of 120 iranian intermed...

Taxonomy structures are important tools in the science of classification of things or concepts, including the principles that underlie such classification. This paper presents an approach to the problem of taxonomy construction from texts focusing on the hyponym-hypernym relation between two terms. Given a set of terms in a particular domain, the approach in this study uses Wikipedia and WordNe...

In this paper, we describe a weakly supervised bootstraping algorithm that reads Web texts and learns taxonomy terms. The bootstrapping algorithm starts with two seed words (a seed hypernym (Root concept) and a seed hyponym) that are inserted into a doubly anchored hyponym pattern. In alternating rounds, the algorithm learns new hyponym terms and new hypernym terms that are subordinate to the R...

In this paper, we describe a weakly supervised bootstraping algorithm that reads Web texts and learns taxonomy terms. The bootstrapping algorithm starts with two seed words (a seed hypernym (Root concept) and a seed hyponym) that are inserted into a doubly anchored hyponym pattern. In alternating rounds, the algorithm learns new hyponym terms and new hypernym terms that are subordinate to the R...

In this paper, we propose a single lowdimensional representation of a large collection of table and hyponym data, and show that with a small number of primitive operations, this representation can be used effectively for many purposes. Specifically we consider queries like set expansion, class prediction etc. We evaluate our methods on publicly available semi-structured datasets from the Web.

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...

Obtaining labeled data is a significant obstacle for many NLP tasks. Recently, online games have been proposed as a new way of obtaining labeled data; games attract users by being fun to play. In this paper, we consider the application of this idea to collecting semantic relations between words, such as hypernym/hyponym relationships. We built three online games, inspired by the real-life games...

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...

This paper presents an ongoing task that will construct a DAML+OIL-compliant Chinese Lexical Ontology. The ontology mainly comprises three components: a hierarchical taxonomy consisting of a set of concepts and a set of relations describing the relationships among the concepts, a set of lexical entries associated with the concepts and relations, and a set of axioms describing the constraints on...

Many textbooks include semantically related words and sometimes teachers add synonyms, antonyms, etc. to the words in order to present new vocabulary items without questioning the possible effects. This study sought to investigate the effect of teaching vocabulary through synonym, semantically unrelated, and hyponym sets based on Higa’s (1963) proposed continuum. A total of 120 Iranian intermed...