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[HTML][HTML] A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art
Human similarity and relatedness judgements between concepts underlie most of cognitive
capabilities, such as categorisation, memory, decision-making and reasoning. For this …
capabilities, such as categorisation, memory, decision-making and reasoning. For this …
Short text similarity measurement methods: a review
Short text similarity measurement methods play an important role in many applications
within natural language processing. This paper reviews the research literature on short text …
within natural language processing. This paper reviews the research literature on short text …
Is image-based CAPTCHA secure against attacks based on machine learning? An experimental study
FH Alqahtani, FA Alsulaiman - Computers & Security, 2020 - Elsevier
The completely automated public Turing test to tell computers and humans apart
(CAPTCHA) is among the most common methods of authentication used by websites and …
(CAPTCHA) is among the most common methods of authentication used by websites and …
A survey of semantic relatedness evaluation datasets and procedures
Semantic relatedness between words is a core concept in natural language processing.
While countless approaches have been proposed, measuring which one works best is still a …
While countless approaches have been proposed, measuring which one works best is still a …
[HTML][HTML] HESML: A scalable ontology-based semantic similarity measures library with a set of reproducible experiments and a replication dataset
This work is a detailed companion reproducibility paper of the methods and experiments
proposed by Lastra-Díaz and García-Serrano in (2015, 2016)[56–58], which introduces the …
proposed by Lastra-Díaz and García-Serrano in (2015, 2016)[56–58], which introduces the …
Automatic question generation and answer assessment for subjective examination
Automatic generation of questions and evaluating their answers is a highly challenging task
in natural language processing and educational technology. This work focuses on …
in natural language processing and educational technology. This work focuses on …
Multiple-choice question generation with auto-generated distractors for computer-assisted educational assessment
Multiple-choice questions (MCQs) are used as instrumental tool for assessment, not only in
various competitive examinations but also in contemporary information and communications …
various competitive examinations but also in contemporary information and communications …
MEET-LM: A method for embeddings evaluation for taxonomic data in the labour market
Taxonomies are the mainstay of the semantic web as they aim at organising knowledge in
concepts linked by IS-A relationships. However, kee** such hierarchies updated and able …
concepts linked by IS-A relationships. However, kee** such hierarchies updated and able …
SenseMap: Urban performance visualization and analytics via semantic textual similarity
As urban populations grow, effectively accessing urban performance measures such as
livability and comfort becomes increasingly important due to their significant socioeconomic …
livability and comfort becomes increasingly important due to their significant socioeconomic …
Embeddings evaluation using a novel measure of semantic similarity
Lexical taxonomies and distributional representations are largely used to support a wide
range of NLP applications, including semantic similarity measurements. Recently, several …
range of NLP applications, including semantic similarity measurements. Recently, several …