The paper presents an overview of an attempt at the semantic classification of adjectives in the Bulgarian Wordnet based on the information that is already available in WordNet, and other classifications proposed in the literature (classifications in the linguistic literature for Bulgarian and approaches implemented by other wordnets, more precisely, the Wordnet for German). The proposed approa...

We introduce the notion of iterated co-occurrences, which can be obtained by performing the calculation of statistically significant cooccurrences not on sentence level, but on co-occurrence sets of previous calculations. The underlying mechanisms are explained in detail and we give reasons, why this iteration results in sets of semantically homogeneous words. These can be used for the automati...

This paper presents our relations-oriented approach to the shared task on lexical access in language production, as well as the results we obtained. We relied mainly on the semantic and lexical relations between words as they are recorded in the Princeton WordNet, although also considering co-occurrence in the Google n-gram corpus. After the end of the shared task we continued working on the sy...

Collocation information plays an important role in target word selection of machine translation. However, a collocation dictionary fulfills only a limited portion of selection operation because of data sparseness. To resolve the sparseness problem, we proposed a new methodology that selects target words after determining an appropriate collocation class by using a inter-word semantic similarity...

The main goal of this paper is to extract the semantic relations underpinning concepts English prepositional of-constructions derived from poetic and non-poetic datasets, using Princeton WordNet. problem addressed by two different algorithms, which are evaluated for their ability model types resources derived, predict unseen relations. first algorithm introduces concept subsumption hierarchy be...

We explore lexical choice in Natural Language Generation (NLG) by implementing a model that uses both context and frequency information. Our model chooses a lemma given a WordNet synset in the abstract representations that are the input for generation. In order to find the correct lemma in its context, we map underspecified dependency trees to Hidden Markov Trees that take into account the prob...

Knowledge-based multilingual language processing benefits from having access to correctly established relations between semantic lexicons, such as the links between different WordNets. WordNet linking is a process that can be sped up by the use of computational techniques. Manual evaluations of the partly automatically established synonym set (synset) relations between Dutch and English in Corn...

This article presents the Hamburg Metaphor Database project, an online database of French and German metaphors which came into being in 2002. In this database, metaphors appearing in different domain-specific corpora collected from mass media are available. The metaphors are annotated with lexical and conceptual information according to standard resources of the field: the EuroWordNet database ...

Sentiment analysis aims to extract the sentiment polarity of given segment of text. Polarity resources that indicate the sentiment polarity of words are commonly used in different approaches. While English is the richest language in regard to having such resources, the majority of other languages, including Turkish, lack polarity resources. In this work we present the first comprehensive Turkis...

In the work reported here, we present three important related issues. 1. We present an effective method of construction of the Marathi WordNet (http://www.cfilt.iitb.ac.in/wordnet/web mwn/) using the Hindi WordNet (http://www.cfilt.iitb.ac.in/wordnet/web hwn/), both of which are being developed at IIT Bombay. Henceforth we will refer to them as MWN and HWN respectively. 2. The Synset identity i...