1 |
Calculating semantic relatedness of lists of nouns using WordNet path length ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Methods, Models and Tools for Improving the Quality of Textual Annotations
|
|
|
|
In: Modelling; Volume 3; Issue 2; Pages: 224-242 (2022)
|
|
BASE
|
|
Show details
|
|
3 |
Capability Language Processing (CLP): Classification and Ranking of Manufacturing Suppliers Based on Unstructured Capability Data
|
|
|
|
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.
|
|
Keyword:
Capability Language Processing (CLP); Capability modeling; Document classification; Formal thesaurus; Semantic similarity; Text mining
|
|
URL: https://digital.library.txstate.edu/handle/10877/15707
|
|
BASE
|
|
Hide details
|
|
4 |
TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Easy-to-use combination of POS and BERT model for domain-specific and misspelled terms
|
|
|
|
In: NL4IA Workshop Proceedings ; https://hal.archives-ouvertes.fr/hal-03474696 ; NL4IA Workshop Proceedings, Nov 2021, Milan, Italy (2021)
|
|
BASE
|
|
Show details
|
|
6 |
Investigating the impact of preprocessing on document embedding: an empirical comparison
|
|
|
|
In: ISSN: 1759-1163 ; EISSN: 1759-1171 ; International Journal of Data Mining, Modelling and Management ; https://hal.inrae.fr/hal-03574696 ; International Journal of Data Mining, Modelling and Management, Inderscience, 2021, 13 (4), pp.351-363 (2021)
|
|
BASE
|
|
Show details
|
|
7 |
Avoiding gender ambiguous pronouns in French
|
|
|
|
In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-03374279 ; Cognition, Elsevier, 2021 (2021)
|
|
BASE
|
|
Show details
|
|
9 |
Evaluation of Sentence Representations in Semantic Text Similarity Tasks ; Utvärdering av meningsrepresentation för semantisk textlikhet
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Avoiding conflict : when speaker coordination does not require conceptual agreement
|
|
|
|
In: ISSN: 2624-8212 ; Frontiers in Artificial Intelligence, Vol. 3, No 523920 (2021) P. 24 (2021)
|
|
BASE
|
|
Show details
|
|
11 |
Encoding interference effects support self-organized sentence processing
|
|
|
|
In: ISSN: 0010-0285 ; Cognitive Psychology, Vol. 124 (2021) P. 101356 (2021)
|
|
BASE
|
|
Show details
|
|
12 |
Semantic Oppositeness for Inconsistency and Disagreement Detection in Natural Language
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Semantically Meaningful Sentence Embeddings
|
|
|
|
In: Computer Science and Engineering: Theses, Dissertations, and Student Research (2021)
|
|
BASE
|
|
Show details
|
|
14 |
Thematic similarity real-time computation during an online debate ; Recherche de similarité thématique en temps réel au sein d'un débat en ligne
|
|
|
|
In: Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 2 : Traitement Automatique des Langues Naturelles ; 27e édition du Traitement Automatique des Langues Naturelles (TALN) ; https://hal.archives-ouvertes.fr/hal-02784775 ; 27e édition du Traitement Automatique des Langues Naturelles (TALN), Jun 2020, Nancy, France. pp.258-267 ; https://jep-taln2020.loria.fr/ (2020)
|
|
BASE
|
|
Show details
|
|
15 |
Natural language understanding in argumentative dialogue systems ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Towards automatic linking of lexicographic data: the case of a historical and a modern Danish dictionary
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Investigating the Portuguese-English Bilingual Mental Lexicon: Crosslinguistic Orthographic and Phonological Overlap in Cognates and False Friends ...
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Improving Sentence Representations via Component Focusing
|
|
|
|
In: Applied Sciences ; Volume 10 ; Issue 3 (2020)
|
|
BASE
|
|
Show details
|
|
19 |
Corpus-Based Paraphrase Detection Experiments and Review
|
|
|
|
In: Information; Volume 11; Issue 5; Pages: 241 (2020)
|
|
BASE
|
|
Show details
|
|
|
|