We present a fully unsupervised method for automated construction of WordNets based upon recent advances in distributional representations of sentences and word-senses combined with readily available machine translation tools. The approach requires very few linguistic resources and is thus extensible to multiple target languages. To evaluate our method we construct two 600-word test sets for wo...

In this paper we introduce an unsupervised learning approach for WordNet construction. The whole construction method is an Expectation Maximization (EM) approach which uses Princeton WordNet 3.0 (PWN) and a corpus as the data source for unsupervised learning. The proposed method can be used to construct WordNet in any language. Links between PWN synsets and target language words are extracted u...

Multiple cross language WordNets such as Euro WordNet (EWN), Multi WordNet, Asian WordNet and Indo WordNet, have been developed that involve mapping Princeton WordNet (PWN) with the respective language WordNet [1,2,3,4,5]. Majority of these projects have employed the transfer-and-merge method developed during the construction of Euro WordNet for WordNet linkage. This paper discusses the process...

This research describes the development of a supervised classifier of English light verb constructions, for example, take a walk and make a speech. This classifier relies on features from dependency parses, OntoNotes sense tags, WordNet hypernyms and WordNet lexical file information. Evaluation shows that this system achieves an 89% F1 score (four points above the state of the art) on the BNC t...

The construction of a wordnet, a labour-intensive enterprise, can be significantly assisted by automatic grouping of lexical material and discovery of lexical semantic relations. The objective is to ensure high quality of automatically acquired results before they are presented for lexicographers’ approval. We discuss a software tool that suggests synset members using a measure of semantic rela...

The JOS language resources are meant to facilitate developments of HLT and corpus linguistics for the Slovene language and consist of the morphosyntactic specifications, defining the Slovene morphosyntactic features and tagset; two annotated corpora (jos100k and jos1M); and two web services (a concordancer and text annotation tool). The paper introduces these components, and concentrates on jos...

Introduction We approach the problem of clustering senses in Princeton's WordNet (Fellbaum 1998), a manually created dictionary/thesaurus which attempts to model the structure underlying human concepts. A synset, the fundamental unit in WordNet, is represented by a group of synonyms and a gloss definition, and is connected through a variety of semantic links, such as hypernyms (type-of) or mero...

In this paper we focus on Spanish polarity classification in a corpus of hotel reviews (COAH) and we introduce a new lexical resource called CRiSOL. This new resource is built on the list of Spanish opinion words iSOL. CRiSOL appends to each word of iSOL the polarity value of the related synset of SentiWordNet. Due to the fact that SentiWordNet is not a Spanish linguistic resource, a Spanish ve...

For UFRGS’s participation on CLEF’s Robust task, our aim was to compare retrieval of plain documents to retrieval using information on word senses. The experimental run which used word-sense disambiguation (WSD) consisted in indexing the synset codes of the senses which had scores higher than a predefined threshold. The documents in both baseline and WSD runs were indexed by Zettair. The metric...

This paper explores the automatic construc tion of a multilingual Lexical Knowledge Base from preexisting lexical resources First a set of automatic and complementary techniques for linking Spanish words collected from monolin gual and bilingual MRDs to English WordNet synsets are described Second we show how re sulting data provided by each method is then combined to produce a preliminary vers...