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Towards combined semantic and lexical scores based on a new representation of textual data to extract experimental data from scientific publications
In: ISSN: 1751-5858 ; EISSN: 1751-5866 ; International Journal of Intelligent Information and Database Systems ; https://hal.inrae.fr/hal-03616243 ; International Journal of Intelligent Information and Database Systems, Inderscience, 2022, 15 (1), pp.78. ⟨10.1504/IJIIDS.2022.120146⟩ (2022)
Abstract: International audience ; This article presents an ontological and terminological resource guided process for targeted extraction of scientific experimental data. Our method relies on the scientific publication representation (SciPuRe) describing the extracted data through ontological, lexical and structural (using segments in the scientific documents) features. Relevance scores based on these features are computed to rank the results and filter out the numerous false positives. Linear and sequential combinations of these scores are presented and evaluated. Experiments were carried out on a corpus of 50 English language scientific papers in the food packaging field. They revealed that article segment are an effective criterion for filtering out a majority of the quantitative entity false positives using lexical scores. Moreover the best symbolic entity extraction results were obtained with a sequential combinations of semantic and lexical scores. These results enable the ranking of entities by relevance and the filtering of false positive results.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; data extraction; data relevance; data representation; information retrieval; ontological and terminological resource; OTR; web scientific documents
URL: https://hal.inrae.fr/hal-03616243
https://doi.org/10.1504/IJIIDS.2022.120146
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2
MEduKG: A Deep-Learning-Based Approach for Multi-Modal Educational Knowledge Graph Construction
In: Information; Volume 13; Issue 2; Pages: 91 (2022)
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3
Prosodic Feature-Based Discriminatively Trained Low Resource Speech Recognition System
In: Sustainability; Volume 14; Issue 2; Pages: 614 (2022)
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4
Atténuer les erreurs de numérisation dans la reconnaissance d'entités nommées pour les documents historiques
In: Conférence en Recherche d'Informations et Applications (CORIA 2021) ; https://hal.archives-ouvertes.fr/hal-03320332 ; Conférence en Recherche d'Informations et Applications (CORIA 2021), ARIA : Association Francophone de Recherche d’Information (RI) et Applications, Apr 2021, Grenoble (virtuel), France. pp.1 - 7 ; http://coria.asso-aria.org/2021/articles/mini_24/main.pdf (2021)
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5
LILLIE : information extraction and database integration using linguistics and learning-based algorithms ...
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6
Exploring Construction of a Company Domain-Specific Knowledge Graph from Financial Texts Using Hybrid Information Extraction
Jen, Chun-Heng. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021
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7
Data for Cyrillic Reference Parsing ...
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Data for Training and Evaluating Metadata Extraction Models based on 15 Thousand Cyrillic Script Publications ...
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Data for Training and Evaluating Metadata Extraction Models based on 15 Thousand Cyrillic Script Publications ...
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10
Data for Cyrillic Reference Parsing ...
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11
Automatic Error Type Annotation for Arabic ...
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12
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ...
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13
HittER: Hierarchical Transformers for Knowledge Graph Embeddings ...
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14
AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions ...
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15
Corpus-based Open-Domain Event Type Induction ...
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16
Extracting Event Temporal Relations via Hyperbolic Geometry ...
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17
Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss ...
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18
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention ...
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19
Corrected CBOW Performs as well as Skip-gram ...
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20
An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing ...
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