Automatic Acronym Dictionary Construction Based on Acronym Generation Types

Yoon, Yeo-Chan; Park, Soyoung; Song, Young-In; Rim, Hae-Chang; Rhee, Dae-Woong

doi:10.1093/ietisy/e91-d.5.1584

Cited by 2 publications

(6 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the end, more than 1800 acronym-definition pairs have been checked. Compared to evaluations performed by other authors, our set is considerably bigger (specifically, 166 pairs were evaluated in [31], 168 in [30], 861 in [14], and 815 in [45]). …”

Section: Discussionmentioning

confidence: 99%

“…However, the repository scope depends highly on the manually composed input corpus. Recently, Yoon et al [45] have been using a set of definitions to create possible acronyms through an automatic acronym generation algorithm (for the Korean language). The authors check the suitability of acronym candidates by estimating the probability of appearing of the given acronym-definition pair from a set of Web resources.…”

Section: Related Workmentioning

confidence: 99%

“…Some authors have dealt with other languages. For instance, Hisamitsu and Niwa [22] analyse Japanese written articles using measures of co-occurrence between inner and outer parenthetical expressions, and Yoon et al [45] deal with Korean Web resources.…”

Section: Related Workmentioning

confidence: 99%

“…From the generative point of view, they are created by aligning and extracting some parts from a definition composed by several words. As introduced in [45], according to the generation rules, acronyms can be classified in three types:…”

Section: Acronym-definition Analysismentioning

confidence: 99%

“…Ontology Population and Questions Answering are other areas in which acronym handling can improve language understanding [48]. However, due to the previously introduced characteristics, it is very difficult to construct a general and up-to-date database of acronym-definition repository [45]. From the manual point of view, there have been some ambitious attempts to provide global and reliable acronym dictionaries such as Acronym Finder or The Internet Acronym Server.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Automatic extraction of acronym definitions from the Web

Sánchez

Isern

2009

Appl Intell

View full text Add to dashboard Cite

Acronyms are widely used to abbreviate and stress important concepts. The discovery of the definitions associated to an acronym is an important matter in order to support language processing and knowledge-related tasks as information retrieval, ontology mapping or question answering. Acronyms represent a very dynamic and unbounded topic that is constantly evolving. Manual attempts to compose a global scale dictionary of acronym-definition pairs result in an overwhelming amount of work and limited results. Attending these shortcomings, this paper presents an automatic and unsupervised methodology to generate acronyms and extract their potential definitions from the Web. The method has been designed to minimise the set of constraints, offering a domain and -partially-language independent solution, and to exploit the Web in order to create large and general acronym-definition sets. Results have been manually evaluated against the largest manually built acronym repository: Acronym Finder. The evaluation shows that the proposed approach is able to improve the coverage of manual attempts maintaining a high precision.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%