A Review of Reverse Dictionary: Finding Words from Concept Description

Siddique, Bushra; Beg, M. M. Sufyan

doi:10.1007/978-981-15-1718-1_11

Cited by 9 publications

(7 citation statements)

References 17 publications

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“…These include Information Retrieval approach-based Wordster Reverse Dictionary [26], Neural Language Modelbased approach by Hill [27], Concept Blending approach by Calvo [28] and Graph-based approach by Thorat [29]. A detailed literature survey of RD works is reported in [30]. Recent works include [31]- [34] based on the study carried out by Hill et al [27].…”

Section: Reverse Dictionary: Problem Description and Existing Workmentioning

confidence: 99%

Adjective Phrases in PNL and its Application to Reverse Dictionary

Siddique

Beg

2022

IEEE Access

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Owing to the large information content of adjectives in natural language-based data, we have dealt with the subject of adjective phrases in the paradigm of PNL. We have proposed a GCR form for the same and demonstrated its application in building a specific instance of Reverse Dictionary. A Reverse Dictionary takes a natural language description of a concept in the user's mind as input and generates semantically appropriate word/s as output. For example, it could accept descriptions like 'to run slowly,' 'to run but not very fast,' etc., for the word 'jog'. As Reverse Dictionary deals with natural language, handling perception-based information is important in its context for capturing the user intent. The D-RD, Reverse Dictionary for Descriptive words, designed in this paper, takes a natural language description of a human as input and generates appropriate adjectives for usage in text/speech as output. As a part of the design, we have proposed a novel CWW based similarity measure for calculating semantic similarity between adjective phrases. The D-RD is evaluated against two benchmarks, Onelook.com and WantWords Online RD, and is reported to outperform both for the test set under consideration.

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Section: Reverse Dictionary: Problem Description and Existing Workmentioning

confidence: 99%

Adjective Phrases in PNL and its Application to Reverse Dictionary

Siddique

Beg

2022

IEEE Access

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“…As a consequence, a trend of research in NLP has focused on producing dynamic reverse dictionaries, that would interpret input definitions and map them back to the corresponding word. We refer the reader to the comprehensive review of Siddique and Sufyan Beg (2019), and provide here mainly highlights.…”

Section: Track 2: Reverse Dictionarymentioning

confidence: 99%

Semeval-2022 Task 1: CODWOE -- Comparing Dictionaries and Word Embeddings

Mickus¹,

Deemter²,

Constant³

et al. 2022

Preprint

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Word embeddings have advanced the state of the art in NLP across numerous tasks. Understanding the contents of dense neural representations is of utmost interest to the computational semantics community. We propose to focus on relating these opaque word vectors with human-readable definitions, as found in dictionaries. This problem naturally divides into two subtasks: converting definitions into embeddings, and converting embeddings into definitions. This task was conducted in a multilingual setting, using comparable sets of embeddings trained homogeneously. What we are fishing forWhat is in a word embedding? Are word embeddings semantic descriptions, in the same sense that

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“…Por simplicidade, desprezam-se indutâncias mútuas entre as bobinas e as capacitâncias e indutâncias se mantêm como estão. A partir da Figura 3 e das leis de Kirchhoff, obtém-se (1). Após algumas manipulações algébricas dessas equações, pode-se chegar à equação diferencial:…”

Section: Aplicação Dos Recursos Do Wxmaximaunclassified