OneLook: Dictionary Search

Clink, Kellian

doi:10.1108/09504120710838912

Cited by 2 publications

(2 citation statements)

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“…The Onelook Dictionary [45] search is a web endpoint and API which allows the user to look for definitions and words related to the input words or phrase. The search engine indexes more than 19 million words in more than 1000 online dictionaries, like Oxford Dictionaries, Merriam-Webster, American Heritage, Collins English Dictionary, Macmillan Dictionary, Wiktionary, Online Etymology Dictionary, Wikipedia, Rhymezone, WordNet 1.7, Free Dictionary, Dictionary.com, Wordnik and many others.…”

Section: Onelook Dictionariesmentioning

confidence: 99%

Evaluation of Semantic Relations Impact in Query Expansion-Based Retrieval Systems

Massai

2023

Preprint

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Section: Onelook Dictionariesmentioning

confidence: 99%

Evaluation of Semantic Relations Impact in Query Expansion-Based Retrieval Systems

Massai

2023

Preprint

View full text Add to dashboard Cite

“…The Onelook Dictionary [Clink (2007)] search is a web endpoint and API which allows the user to look for definitions and related words to the input words or phrase. The search engine indexes more than 19 million words in more than 1000 online dictionaries, like Oxford Dictionaries, Merriam-Webster, American Heritage, Collins English Dictionary, Macmillan Dictionary, Wiktionary, Online Etymology Dictionary, Wikipedia, Rhymezone, WordNet 1.7, Free Dictionary, Dictionary.com, Wordnik and many others.…”

Section: Onelook Dictionariesmentioning

confidence: 99%

Automatic generation of semantic corpora for improving intent estimation of taxonomy-driven search engines

Massai¹

2022

Preprint

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With the increasing demand of intelligent systems capable of operating in different user contexts (e.g. users on the move) the correct interpretation of the user-need by such systems has become crucial to give a consistent answer to the user query. The most effective techniques which are used to address such task are in the fields of natural language processing and semantic expansion of terms. Such systems are aimed at estimating the actual meaning of input queries, addressing the concepts of the words which are expressed within the user questions. The aim of this paper is to demonstrate which semantic relation impacts the most in semantic expansion-based retrieval systems and to identify the best tradeoff between accuracy and noise introduction when combining such relations. The evaluations are made building a simple natural language processing system capable of querying any taxonomy-driven domain, making use of the combination of different semantic expansions as knowledge resources. The proposed evaluation employs a wide and varied taxonomy as a use-case, exploiting its labels as basis for the expansions. To build the knowledge resources several corpora have been produced and integrated as gazetteers into the NLP infrastructure with the purpose of estimating the pseudo-queries corresponding to the taxonomy labels, considered as the possible intents.

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OneLook: Dictionary Search

Cited by 2 publications

References 0 publications

Evaluation of Semantic Relations Impact in Query Expansion-Based Retrieval Systems

Evaluation of Semantic Relations Impact in Query Expansion-Based Retrieval Systems

Automatic generation of semantic corpora for improving intent estimation of taxonomy-driven search engines

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