As Cool as a Cucumber: Towards a Corpus of Contemporary Similes in Serbian
Similes are natural language expressions used to compare unlikely things, where the comparison is not taken literally. They are often used in everyday communication and are an important part of cultural heritage. Having an up-to-date corpus of similes is challenging, as they are constantly coined and/or adapted to the contemporary times. In this paper we present a methodology for semi-automated collection of similes from the world wide web using text mining techniques. We expanded an existing corpus of traditional similes (containing 333 similes) by collecting 446 additional expressions. We, also, explore how crowdsourcing can be used to extract and curate new similes.
Code (1)
Similar Papers 제목 키워드 기반
Creating a contemporary corpus of similes in Serbian by using natural language processing
Simile is a figure of speech that compares two things through the use of connection words, but where comparison is not intended to be taken literally. They are often used in everyday communication, but they are also a pa…
Analysis of Similes in Serbian Literary Texts (1860-1920) using computational methods
Similes are rhetorical figures which play an important role in literary texts. This paper presents a finite-state methodology developed for the description of adjectival similes, which enables their retrieval and annotat…
RetrievalSpecificityMachine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian
The training of new tagger models for Serbian is primarily motivated by the enhancement of the existing tagset with the grammatical category of a gender. The harmonization of resources that were manually annotated within…
BIG-bench Machine LearningLemmatizationPOSPOS TaggingA Language-independent Model for Introducing a New Semantic Relation Between Adjectives and Nouns in a WordNet
The aim of this paper is to show a language-independent process of creating a new semantic relation between adjectives and nouns in wordnets. The existence of such a relation is expected to improve the detection of figur…
AttributeRelationSentiment AnalysisTALC-sef A Manually-Revised POS-TAgged Literary Corpus in Serbian, English and French
In this paper, we present a parallel literary corpus for Serbian, English and French, the TALC-sef corpus. The corpus includes a manually-revised pos-tagged reference Serbian corpus of over 150,000 words. The initial obj…
POSPOS Tagging