The acquisition of semantic resources and relations is an important task for several applications, such as query expansion, information retrieval and extraction, machine translation. However, their validity should also be computed and indicated, especially for automatic systems and applications. We exploit the compositionality based methods for the acquisition of synonymy relations and of indic...

For fine-grained sentiment analysis, we need to go beyond zero-one polarity and find a way to compare adjectives (synonyms) that share the same sense. Choice of a word from a set of synonyms, provides a way to select the exact polarityintensity. For example, choosing to describe a person as benevolent rather than kind1 changes the intensity of the expression. In this paper, we present a sense b...

This article examines the effects of synonymy (i.e., learning words with and without high-frequency synonyms that were known to the learners) on word knowledge in a study of 84 Japanese students learning English. It employed 10 tests measuring 5 aspects of word knowledge (orthography, paradigmatic association, syntagmatic association, meaning and form, and grammatical functions) to assess learn...

Acquisition and enrichment of lexical resources is an important research area for the computational linguistics. We propose a method for inducing a lexicon of synonyms and for its weighting in order to establish its reliability. The method is based on the analysis of syntactic structure of complex terms. We apply and evaluate the approach on three biomedical terminologies (MeSH, Snomed Int, Sno...

Automatic determination of synonyms and/or semantically related words has various applications in Natural Language Processing. Two mainstream paradigms to date, lexicon-based and distributional approaches, both exhibit pros and cons with regard to coverage, complexity, and quality. In this paper, we propose three novel methods—two rule-based methods and one machine learning approach—to identify...

We attempted to eliminate non-relevant papers from results of PubMed searches for each topic. The system is called PETER (PubMed Enhancer Toward Efficient Research) and it works as follows. 1. get LocusLink IDs manually. 2. collect information of gene names (AKA synonyms) from public databases. 3. make synonym variations automatically. 4. search papers by PubMed with each synonym. 5. extract ti...

In Mandarin Chinese, lexical semantic relation of near synonyms is a widespread phenomenon, and is of great interest to many linguists. Most works deal with lexical semantic relation between lexical entries. This paper investigates the differences between Chinese near synonymous sensation verbs based on the data from “Academia Sinica Balanced Corpus of Modern Mandarin Chinese” (Sinica Corpus) a...

Automatic synonyms and semantically related word extraction is a challenging task, useful in many NLP applications such as question answering, search query expansion, text summarization, etc. While different studies addressed the task of word synonym extraction, only a few investigations tackled the problem of acquiring synonyms of multi-word terms (MWT) from specialized corpora. To extract pai...

Automatic synonyms and semantically related word extraction is a challenging task, useful in many NLP applications such as question answering, search query expansion, text summarization, etc. While different studies addressed the task of word synonym extraction, only a few investigations tackled the problem of acquiring synonyms of multi-word terms (MWT) from specialized corpora. To extract pai...