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Annoter et prédire des représentations linguistiques de phrases
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In: https://hal.archives-ouvertes.fr/tel-03544267 ; Informatique et langage [cs.CL]. Université de Paris, 2022 (2022)
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In a Bilingual Mood: Mood Affects Lexico-Semantic Processing Differently in Native and Non-Native Languages
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In: Brain Sciences; Volume 12; Issue 3; Pages: 316 (2022)
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Effect of Lexical-Semantic Cues during Real-Time Sentence Processing in Aphasia
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In: Brain Sciences; Volume 12; Issue 3; Pages: 312 (2022)
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A Quantum Language-Inspired Tree Structural Text Representation for Semantic Analysis
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In: Mathematics; Volume 10; Issue 6; Pages: 914 (2022)
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Use of Parsing Heuristics in the Comprehension of Passive Sentences: Evidence from Dyslexia and Individual Differences
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In: Brain Sciences; Volume 12; Issue 2; Pages: 209 (2022)
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Les dictionnaires bilingues ... : Réseaux lexicaux de l’entreprise (français-albanais-arabe) ...
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Language and vision in conceptual processing: Multilevel analysis and statistical power ...
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Phonological Contrast and Conflict in Dutch Vowels: Neurobiological and Psycholinguistic Evidence from Children and Adults ...
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Capability Language Processing (CLP): Classification and Ranking of Manufacturing Suppliers Based on Unstructured Capability Data
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Abstract:
In manufacturing industry, data is available in both structured and unstructured forms. Although the unstructured data represented in natural language text contains valuable information and knowledge, its effective processing for the sake of information retrieval and knowledge extraction is a challenge. Manufacturing Capability data is an example of unstructured data widely used for describing the technological capabilities of manufacturing companies. The objective of this research is to use a set of text analytics techniques to enable automated classification and ranking of manufacturing companies based on their capability narratives available on their websites. For this purpose, a supervised classification method is used in conjunction with semantic similarity measurement method. A formal thesaurus that uses Simple Knowledge Organization System (SKOS) format provides structural and lexical semantics to support classification and ranking. To conduct semantic similarity measurement, edge-based method is combined with Normalized Google Distance (NGD) technique to create a weighted edgebased method for measuring the similarities of manufacturers’ capabilities with the queried capabilities provided by customers. The proposed framework is validated experimentally using a hypothetical search scenario. The results indicate that the generated ranked list is highly correlated with human judgment, especially if the query model and supplier capability model belong to the same class. However, the correlation decreases when multiple overlapping classes of suppliers are mixed. The findings of this research can be used to improve the precision and reliability of Capability Language Processing (CLP) tools and methods and improve the intelligence of supplier discovery and capability mapping platforms.
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Keyword:
Capability Language Processing (CLP); Capability modeling; Document classification; Formal thesaurus; Semantic similarity; Text mining
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URL: https://digital.library.txstate.edu/handle/10877/15707
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What's "up"? Impaired Spatial Preposition Processing in Posterior Cortical Atrophy.
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TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing
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Easy-to-use combination of POS and BERT model for domain-specific and misspelled terms
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In: NL4IA Workshop Proceedings ; https://hal.archives-ouvertes.fr/hal-03474696 ; NL4IA Workshop Proceedings, Nov 2021, Milan, Italy (2021)
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A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine
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About Neural Networks and Writing Definitions
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In: ISSN: 2160-5076 ; Dictionaries: Journal of the Dictionary Society of North America Dictionary Society of North America ; https://hal.archives-ouvertes.fr/hal-03547452 ; Dictionaries: Journal of the Dictionary Society of North America Dictionary Society of North America, 2021, 42 (2), ⟨10.1353/dic.2021.0022⟩ (2021)
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Convertir le Trésor de la Langue Française en Ontolex-Lemon : un zeste de données liées
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In: Journées LIFT 2021 - Linguistique informatique, formelle et de terrain ; https://hal.inria.fr/hal-03463294 ; Journées LIFT 2021 - Linguistique informatique, formelle et de terrain, Dec 2021, Grenoble, France (2021)
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Processing of Prosody and Semantics in Sepedi and L2 English
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In: ISSN: 0090-6905 ; EISSN: 1573-6555 ; Journal of Psycholinguistic Research ; https://halshs.archives-ouvertes.fr/halshs-03082244 ; Journal of Psycholinguistic Research, Springer Verlag, 2021, 50 (3), pp.681-706. ⟨10.1007/s10936-020-09746-z⟩ (2021)
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Models of diachronic semantic change using word embeddings ; Modèles diachroniques à base de plongements de mot pour l'analyse du changement sémantique
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In: https://tel.archives-ouvertes.fr/tel-03199801 ; Document and Text Processing. Université Paris-Saclay, 2021. English. ⟨NNT : 2021UPASG006⟩ (2021)
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Hierarchical-Task Reservoir for Online Semantic Analysis from Continuous Speech
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In: ISSN: 2162-237X ; IEEE Transactions on Neural Networks and Learning Systems ; https://hal.inria.fr/hal-03031413 ; IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2021, ⟨10.1109/TNNLS.2021.3095140⟩ ; https://ieeexplore.ieee.org/abstract/document/9548713/metrics#metrics (2021)
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Transdisciplinary Analysis of a Corpus of French Newsreels: The ANTRACT Project
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In: ISSN: 1938-4122 ; Digital Humanities Quarterly ; https://hal.archives-ouvertes.fr/hal-03166755 ; Digital Humanities Quarterly, Alliance of Digital Humanities, 2021, Special Issue on AudioVisual Data in DH, 15 (1) ; http://digitalhumanities.org/dhq/ (2021)
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A Noisy Channel Model of N400 and P600 Effects in Sentence Comprehension ...
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