It is a big challenge for an information retrieval system (IRS) to interpret the queries made by users, particularly because the common form of query consists of very few terms. Tolerance rough sets models (TRSM), as an extension of rough sets theory, have demonstrated their ability to enrich document representation in terms of semantic relatedness. However, system efficiency is at stake becaus...

Lexicon-based approaches have been widely used for opinion retrieval due to their simplicity. However, no previous work has focused on the domain-dependency problem in opinion lexicon construction. This paper proposes simple feedback-style learning for query-specific opinion lexicon using the set of top-retrieved documents in response to a query. The proposed learning starts from the initial do...

It has been proved that large-scale realistic Knowledge Based Machine Translation (KBMT) applications require acquisition of huge knowledge about language and about the world. This knowledge is encoded in computational grammars, lexicons and domain models. Another approach – which avoids the need for collecting and analyzing massive knowledge-is the Example Based approach, which is the topic of...

Purpose Given today’s pressing societal challenges, business schools are increasingly expected to incorporate sustainability in their curricula. Yet, while research on corporate is the rise, there less innovation teaching methods as most institutions rely traditional teach classroom. This paper aims present case-based debate an appropriate method for exposing students complexity of issues. Desi...

This research is aimed at developing a hierarchical alternation-based lexical architecture for machine translation. The proposed architecture makes extensive use of information sharing in describing valency frames through derivational links from base frames, rather than as independent entities. This has advantages in descriptive efficiency, robustness and maintainability. The lexicon being deve...

Lexicon is in important resource in any kind of language processing application. Corpus-based lexica have several advantages over other traditional approaches. The lexicon developed for Sinhala was based on the text obtained from a corpus of 10 million words drawn from diverse genres. The words extracted from the corpus have been labeled with parts of speech categories defined according to a no...

For the Affective Text task at SemEval2007, University Paris 7’s system first evaluates emotion and valence on all words of a news headline (using enriched versions of SentiWordNet and a subset of WordNetAffect). We use a parser to find the head word, considering that it has a major importance. We also detect contrasts (between positive and negative words) that shift valence. Our knowledge-base...

Researchers from industry and academia are now exploring the possibility of creating a "Semantic Web," in which meaning is made explicit, allowing machines to process and integrate Web resources intelligently. This technology will allow interoperability among development of intelligent internet agents in large scale, facilitating communication between a multitude of heterogeneous web-accessible...

A machine translation system from Japanese into English is described. The system aims at translation of computer manuals, and basically follows to the transfer approach. The design principles of the system are discussed in detail, together with the overall constructions of the system. Especially, the effectiveness of lexicon-based procedures, i.e. lexicon-based analysis, transfer, and synthesis...

This article examines the reception and application of arguments developed during Donatist controversy in later debates over clerical celibacy, marriage continence medieval early modern church. It explores collision inspiration institution this context, arguing that sacerdotal celibacy Latin church Reformation both appropriated polemicized history Donatism. The way which spectre lexicon Donatis...