The paper presents the work in progress for a PhD thesis about preposition incorporation Bulgarian BulTreeBank WordNet. Being one of most polysemous parts speech, prepositions are still relatively challenging NLP and usually missing wordnets. A semantic classification, model synsets synset relations proposed. planned applications directions future processing introduced.

Automatic assessment of exams is widely preferred by educators than multiple-choice because its efficiency in measuring student performance, lack subjectivity when evaluating response, and faster evaluation time the consuming manual evaluation. In this study, a new approach for Short Answer Grading (ASAG) proposed using MaLSTM sense vectors obtained SemSpace, synset based embedding method built...

This paper presents an application of PageRank, a random-walk model originally devised for ranking Web search results, to ranking WordNet synsets in terms of how strongly they possess a given semantic property. The semantic properties we use for exemplifying the approach are positivity and negativity, two properties of central importance in sentiment analysis. The idea derives from the observat...

WordNet has proved to be immensely useful for Word Sense Disambiguation, and thence Machine translation, Information Retrieval and Question Answering. It can also be used as a dictionary for educational purposes. The semantic nature of concepts in a WordNet motivates one to try to express this meaning in a more visual way. In this paper, we describe our work of enriching IndoWordNet with image ...

Being less resource languages, Indian-Indian and English-Indian language MT system developments faces the difficulty to translate various lexical phenomena. In this paper, we present our work on a comparative study of 440 phrase-based statistical trained models for 110 language pairs across 11 Indian languages. We have developed 110 baseline Statistical Machine Translation systems. Then we have...

This paper describes representing translations in the Finnish wordnet, FinnWordNet (FiWN), and constructing the FiWN database. FiWN was created by translating all the word senses of the Princeton WordNet (PWN) into Finnish and by joining the translations with the semantic and lexical relations of PWN extracted into a relational (database) format. The approach naturally resulted in a translation...

Opinion mining (OM) is a recent subdiscipline at the crossroads of information retrieval and computational linguistics which is concerned not with the topic a document is about, but with the opinion it expresses. OM has a rich set of applications, ranging from tracking users’ opinions about products or about political candidates as expressed in online forums, to customer relationship management...

The synsets in Assamese Wordnet play a significant role in the enrichment of Assamese language. These synsets are built depending on the intuition the native speakers of the language. There is no fixed rule in the arranging the positions of each synset. The present paper mainly aims to make a quantitative comparison of every synset position of Wordnet seeing the occurrences of these synsets in ...

This article describes work towards the automatic creation of a conceptual polarity lexicon for Portuguese. For this purpose, we take advantage of a polarity lexicon based on single lemmas to assign polarities to the synsets of a wordnet-like resource. We assume that each synset has the polarity of the majority of its lemmas, given by the initial lexicon. After that, polarity is propagated to o...

The paper presents an expansion of the verb model for plWordNet – the wordnet of Polish. A modified system of constitutive features (register, aspect and verb classes), synset and lexical relations is presented. A special attention is given to the proposed new relations and changes in the verb classification. We discuss also the results of its verification by application to the description of a...