A Multi- versus a Single-classifier Approach for the Identification of Modality in the Portuguese Language Article Swipe
João Sequeira
,
Teresa Gonçalves
,
Paulo Quaresma
,
Amália Mendes
,
Iris Hendrickx
·
YOU?
·
· 2018
· Open Access
·
YOU?
·
· 2018
· Open Access
·
This work presents a comparative study between two different approaches to build an automatic classification system for Modality values in the Portuguese language. One approach uses a single multi-class classifier with the full dataset that includes eleven modal verbs; the other builds different classifiers, one for each verb. The performance is measured using precision, recall and F 1 . Due to the unbalanced nature of the dataset a weighted average approach was calculated for each metric. We use support vector machines as our classifier and experimented with various SVM kernels to find the optimal classifier for the task at hand. We experimented with several different types of feature attributes representing parse tree information and compare these complex feature representation against a simple bag-of-words feature representation as baseline. The best obtained F 1 values are above 0.60 and from the results it is possible to conclude that there is no significant difference between both approaches.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- http://hdl.handle.net/10451/37352
- http://hdl.handle.net/10451/37352
- OA Status
- green
- Cited By
- 1
- References
- 12
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2807581103
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- OpenAlex ID
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https://openalex.org/W2807581103Canonical identifier for this work in OpenAlex
- Title
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A Multi- versus a Single-classifier Approach for the Identification of Modality in the Portuguese LanguageWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2018Year of publication
- Publication date
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2018-05-01Full publication date if available
- Authors
-
João Sequeira, Teresa Gonçalves, Paulo Quaresma, Amália Mendes, Iris HendrickxList of authors in order
- Landing page
-
https://hdl.handle.net/10451/37352Publisher landing page
- PDF URL
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https://hdl.handle.net/10451/37352Direct link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
- OA URL
-
https://hdl.handle.net/10451/37352Direct OA link when available
- Concepts
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Computer science, Classifier (UML), Modality (human–computer interaction), Portuguese, Artificial intelligence, Natural language processing, Identification (biology), Pattern recognition (psychology), Linguistics, Biology, Philosophy, BotanyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2023: 1Per-year citation counts (last 5 years)
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12Number of works referenced by this work
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20Other works algorithmically related by OpenAlex
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| abstract_inverted_index.We | 76, 100 |
| abstract_inverted_index.an | 12 |
| abstract_inverted_index.as | 81, 125 |
| abstract_inverted_index.at | 98 |
| abstract_inverted_index.in | 19 |
| abstract_inverted_index.is | 50, 141, 147 |
| abstract_inverted_index.it | 140 |
| abstract_inverted_index.no | 148 |
| abstract_inverted_index.of | 64, 106 |
| abstract_inverted_index.to | 10, 60, 90, 143 |
| abstract_inverted_index.Due | 59 |
| abstract_inverted_index.One | 23 |
| abstract_inverted_index.SVM | 88 |
| abstract_inverted_index.The | 48, 127 |
| abstract_inverted_index.and | 55, 84, 113, 136 |
| abstract_inverted_index.are | 133 |
| abstract_inverted_index.for | 16, 45, 73, 95 |
| abstract_inverted_index.one | 44 |
| abstract_inverted_index.our | 82 |
| abstract_inverted_index.the | 20, 31, 39, 61, 65, 92, 96, 138 |
| abstract_inverted_index.two | 7 |
| abstract_inverted_index.use | 77 |
| abstract_inverted_index.was | 71 |
| abstract_inverted_index.0.60 | 135 |
| abstract_inverted_index.This | 0 |
| abstract_inverted_index.best | 128 |
| abstract_inverted_index.both | 152 |
| abstract_inverted_index.each | 46, 74 |
| abstract_inverted_index.find | 91 |
| abstract_inverted_index.from | 137 |
| abstract_inverted_index.full | 32 |
| abstract_inverted_index.task | 97 |
| abstract_inverted_index.that | 34, 145 |
| abstract_inverted_index.tree | 111 |
| abstract_inverted_index.uses | 25 |
| abstract_inverted_index.with | 30, 86, 102 |
| abstract_inverted_index.work | 1 |
| abstract_inverted_index.above | 134 |
| abstract_inverted_index.build | 11 |
| abstract_inverted_index.hand. | 99 |
| abstract_inverted_index.modal | 37 |
| abstract_inverted_index.other | 40 |
| abstract_inverted_index.parse | 110 |
| abstract_inverted_index.study | 5 |
| abstract_inverted_index.there | 146 |
| abstract_inverted_index.these | 115 |
| abstract_inverted_index.types | 105 |
| abstract_inverted_index.using | 52 |
| abstract_inverted_index.verb. | 47 |
| abstract_inverted_index.builds | 41 |
| abstract_inverted_index.eleven | 36 |
| abstract_inverted_index.nature | 63 |
| abstract_inverted_index.recall | 54 |
| abstract_inverted_index.simple | 121 |
| abstract_inverted_index.single | 27 |
| abstract_inverted_index.system | 15 |
| abstract_inverted_index.values | 18, 132 |
| abstract_inverted_index.vector | 79 |
| abstract_inverted_index.verbs; | 38 |
| abstract_inverted_index.against | 119 |
| abstract_inverted_index.average | 69 |
| abstract_inverted_index.between | 6, 151 |
| abstract_inverted_index.compare | 114 |
| abstract_inverted_index.complex | 116 |
| abstract_inverted_index.dataset | 33, 66 |
| abstract_inverted_index.feature | 107, 117, 123 |
| abstract_inverted_index.kernels | 89 |
| abstract_inverted_index.metric. | 75 |
| abstract_inverted_index.optimal | 93 |
| abstract_inverted_index.results | 139 |
| abstract_inverted_index.several | 103 |
| abstract_inverted_index.support | 78 |
| abstract_inverted_index.various | 87 |
| abstract_inverted_index.Modality | 17 |
| abstract_inverted_index.approach | 24, 70 |
| abstract_inverted_index.conclude | 144 |
| abstract_inverted_index.includes | 35 |
| abstract_inverted_index.machines | 80 |
| abstract_inverted_index.measured | 51 |
| abstract_inverted_index.obtained | 129 |
| abstract_inverted_index.possible | 142 |
| abstract_inverted_index.presents | 2 |
| abstract_inverted_index.weighted | 68 |
| abstract_inverted_index.automatic | 13 |
| abstract_inverted_index.baseline. | 126 |
| abstract_inverted_index.different | 8, 42, 104 |
| abstract_inverted_index.language. | 22 |
| abstract_inverted_index.Portuguese | 21 |
| abstract_inverted_index.approaches | 9 |
| abstract_inverted_index.attributes | 108 |
| abstract_inverted_index.calculated | 72 |
| abstract_inverted_index.classifier | 29, 83, 94 |
| abstract_inverted_index.difference | 150 |
| abstract_inverted_index.precision, | 53 |
| abstract_inverted_index.unbalanced | 62 |
| abstract_inverted_index.approaches. | 153 |
| abstract_inverted_index.comparative | 4 |
| abstract_inverted_index.information | 112 |
| abstract_inverted_index.multi-class | 28 |
| abstract_inverted_index.performance | 49 |
| abstract_inverted_index.significant | 149 |
| abstract_inverted_index.bag-of-words | 122 |
| abstract_inverted_index.classifiers, | 43 |
| abstract_inverted_index.experimented | 85, 101 |
| abstract_inverted_index.representing | 109 |
| abstract_inverted_index.classification | 14 |
| abstract_inverted_index.representation | 118, 124 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.5400000214576721 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.05667707 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |