In this paper we present an automatic method for extraction of synonyms of verbs from an explanatory dictionary based only on hyponym/hyperonym relations existing between the verbs defined and the genus used in their definitions. The set of pairs verb-genus can be considered as a directed graph, so we applied an algorithm to identify cycles in these kind of structures. We found that some cycles...

In this paper we show a general advance about the desgin of a methodology for extracting definitional contexts from corpus of biomedicine in Spanish, taking into account a set of processes performed by the following modules: (i) a term extractor based in a hybrid method, (ii) a set of verbs that configure the syntactic structure of a definitional context, (iii) a chunker able to recognize those...

This paper describes the USAAR-WLV taxonomy induction system that participated in the Taxonomy Extraction Evaluation task of SemEval-2015. We extend prior work on using vector space word embedding models for hypernym-hyponym extraction by simplifying the means to extract a projection matrix that transforms any hyponym to its hypernym. This is done by making use of function words, which are usua...

The task of detecting and generating hyponyms is at the core of semantic understanding of language, and has numerous practical applications. We investigate how neural network embeddings perform on this task, compared to dependency-based vector space models, and evaluate a range of similarity measures on hyponym generation. A new asymmetric similarity measure and a combination approach are descr...

An important and well-studied problem is the production of semantic lexicons from a large corpus. In this paper, we present a system named ASIA (Automatic Set Instance Acquirer), which takes in the name of a semantic class as input (e.g., “car makers”) and automatically outputs its instances (e.g., “ford”, “nissan”, “toyota”). ASIA is based on recent advances in webbased set expansion the probl...

In the paper we presented a new Russian wordnet, RuWordNet, which was semiautomatically obtained by transformation of the existing Russian thesaurus RuThes. At the first step, the basic structure of wordnets was reproduced: synsets’ hierarchy for each part of speech and the basic set of relations between synsets (hyponym-hypernym, partwhole, antonyms). At the second stage, we added causation, e...

With the increasing interest in multimedia annotation, emotion annotation is being recognized as an essential resource which can be applied for a variety of purposes, including video information retrieval and dialogue systems. Here we introduce an automatic emotion annotation schema for dialogues, which could be used for the retrieval of specific scenes in film. Distinguished from previous work...

The first version of the Danish WordNet, DanNet, was released in March 2009 under an open source license similar to the Princeton Licence (cf. www.wordnet.dk). In order to present and discuss the set of encoded semantic information in a focused form and with some empirical data, we dive into a specific ontological type in the WordNet, namely humans. We present and discuss the information types ...

In this paper, we propose a fully automatic system for acquisition of hypernym/hyponymy relations from large corpus in Turkish Language. The method relies on both lexico-syntactic pattern and semantic similarity. Once the model has extracted the seeds by using patterns, it applies similarity based expansion in order to increase recall. For the expansion, several scoring functions within a boots...

Most compounds in English are endocentric, that is, one of the elements (typically the right-hand element) is the head of the construction. Headedness is shown most clearly by hyponymy: the compound as a whole is a hyponym of its head. For example, traffic-light is a hyponym of light, but not a hyponym of traffic. In some languages compounds take their declension class or gender from those of t...