SyMSS: A syntax-based measure for short-text semantic similarity
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2011/04/01
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Journal
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Indian UGC (journal)
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Refrences44
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Citations55
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Jesús Oliva
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José Ignacio Serrano
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María Dolores del Castillo
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Ángel Iglesias
Cite
Oliva, Jesús, et al. “SyMSS: A Syntax-Based Measure for Short-Text Semantic Similarity”. Data &Amp; Knowledge Engineering, vol. 70, no. 4, 2011, pp. 390-05, https://doi.org/10.1016/j.datak.2011.01.002.
Oliva, J., Serrano, J. I., del Castillo, M. D., & Iglesias, Ángel. (2011). SyMSS: A syntax-based measure for short-text semantic similarity. Data &Amp; Knowledge Engineering, 70(4), 390-405. https://doi.org/10.1016/j.datak.2011.01.002
Oliva J, Serrano JI, del Castillo MD, Iglesias Ángel. SyMSS: A syntax-based measure for short-text semantic similarity. Data & Knowledge Engineering. 2011;70(4):390-405.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Mechanical engineering and machinery
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| An integration of WordNet and fuzzy association rule mining for multi-label document clustering | Data & Knowledge Engineering |
| 27 | 2010 |
| Noun retrieval effect on text summarization and delivery of personalized news articles to the user’s desktop | Data & Knowledge Engineering |
| 5 | 2010 |
| Psychiatric document retrieval using a discourse-aware model | Artificial Intelligence |
| 16 | 2009 |
| A semantic similarity metric combining features and intrinsic information content | Data & Knowledge Engineering |
| 107 | 2009 |
| A new sentence similarity measure and sentence based extractive technique for automatic text summarization | Expert Systems with Applications |
| 113 | 2009 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Identification of paraphrased text in research articles through improved embeddings and fine-tuned BERT model | Multimedia Tools and Applications |
| 2024 | |
Drug–Drug Interaction Relation Extraction Based on Deep Learning: A Review | ACM Computing Surveys |
| 2024 | |
| Ontology-Based Similarity Computation of Two Sentences Using Word-Net Database | New Generation Computing |
| 2023 | |
| Studying differentiated code to support smart contract update | Empirical Software Engineering |
| 2023 | |
| Query-Based Extractive Text Summarization Using Sense-Oriented Semantic Relatedness Measure | Arabian Journal for Science and Engineering |
| 2023 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 36
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Sentence selection for generic document summarization using an adaptive differential evolution algorithm and was published in 2011. The most recent citation comes from a 2024 study titled Identification of paraphrased text in research articles through improved embeddings and fine-tuned BERT model. This article reached its peak citation in 2023, with 6 citations. It has been cited in 39 different journals, 10% of which are open access. Among related journals, the Data & Knowledge Engineering cited this research the most, with 5 citations. The chart below illustrates the annual citation trends for this article.