Introduction: Protein and gene names change frequently as research reveals details about these entities. 1 Because authors often use synonyms, information retrieval requires identification of these alternate names. Many biological databases — such as GenBank 2 and SWISSPROT 3 — have synonym databases; however, the databases may not be complete. Furthermore, to our knowledge, the extraction of s...

We present a method for grouping the synonyms of a lemma according to its dictionary senses. The senses are defined by a large machine readable dictionary for French, the TLFi (Trésor de la langue française informatisé) and the synonyms are given by 5 synonym dictionaries (also for French). To evaluate the proposed method, we manually constructed a gold standard where for each (word, definition...

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This paper describes a method developed for the Robust Word Sense Disambiguation task at CLEF 2009. In our approach, a WordNet expanded index is generated from the disambiguated document collection. This index contains synonyms, hypernyms and holonyms of the disambiguated words contained in documents. Query words are integrated by terms extracted by means of a pseudo relevance feedback techniqu...

surge in human microbiome research currently underway around the world. For the past decade, new molecular methods have started to unlock the secrets of this unseen universe, and suddenly it is dawning on us that human individuals are not the dominant life-form in the symbiosis of our existence. It is often quoted that humans are 10% human and 90% microbial when a comparative count of cell numb...

Auto-completion is one of the most prominent features of modern information systems. The existing solutions of auto-completion provide the suggestions based on the beginning of the currently input character sequence (i.e. prefix). However, in many real applications, one entity often has synonyms or abbreviations. For example, “DBMS” is an abbreviation of “Database Management Systems”. In this p...

Near-synonyms are useful knowledge resources for many natural language applications such as query expansion for information retrieval (IR) and paraphrasing for text generation. However, near-synonyms are not necessarily interchangeable in contexts due to their specific usage and syntactic constraints. Accordingly, it is worth to develop algorithms to verify whether near-synonyms do match the gi...

We propose a method of synonymous paraphrasing of a text based on WordNet synonymy data and Internet statistics of stable word combinations (collocations). Given a text, we look for words or expressions in it for which WordNet provides synonyms, and substitute them with such synonyms only if the latter form valid collocations with the surrounding words according to the statistics gathered from ...