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Italian Sense Inventory
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Poli, Francesca. - : Università di Pisa, 2021. : Istituto di Linguistica Computazionale “A. Zampolli” - Consiglio Nazionale delle Ricerche (ILC-CNR), 2021
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Word Sense Disambiguation Using Prior Probability Estimation Based on the Korean WordNet
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In: Electronics; Volume 10; Issue 23; Pages: 2938 (2021)
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A Knowledge-Based Sense Disambiguation Method to Semantically Enhanced NL Question for Restricted Domain
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In: Information ; Volume 12 ; Issue 11 (2021)
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NERWS: Towards Improving Information Retrieval of Digital Library Management System Using Named Entity Recognition and Word Sense
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In: Big Data and Cognitive Computing ; Volume 5 ; Issue 4 (2021)
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FlauBERT: Unsupervised Language Model Pre-training for French
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In: Proceedings of the 12th Language Resources and Evaluation Conference ; LREC ; https://hal.archives-ouvertes.fr/hal-02890258 ; LREC, 2020, Marseille, France (2020)
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FlauBERT : Unsupervised Language Model Pre-training for French ; FlauBERT : des modèles de langue contextualisés pré-entraînés pour le français
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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 ; 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 ; https://hal.archives-ouvertes.fr/hal-02784776 ; 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, Jun 2020, Nancy, France. pp.268-278 (2020)
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STEM-ECR-v1.0 ...
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Abstract:
##Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources The STEM ECR v1.0 dataset has been developed to provide a benchmark for the evaluation of scientific entity extraction, classification, and resolution tasks in a domain-independent fashion. It comprises annotations for scientific entities in scientific Abstracts drawn from 10 disciplines in Science, Technology, Engineering, and Medicine. The annotated entities are further grounded to Wikipedia and Wiktionary, respectively. ###What this repository contains? The dataset is organized in the following folders: * Scientific Entity Annotations: Contains annotations for Process, Material, Method, and Data scientific entities in the STEM dataset. * Scientific Entity Resolution: Annotations for the STEM dataset scientific entities with Entity Linking (EL) annotations to Wikipedia and Word Sense Disambiguation (WSD) annotations to Wiktionary. ###Annotation Guidelines The annotation guidelines that ...
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Keyword:
entity classification; entity linking; entity recognition; entity resolution; evaluation corpus; language resource; word sense disambiguation
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URL: https://dx.doi.org/10.25835/0017546 https://data.uni-hannover.de/dataset/0a4d8d4e-f881-48f5-82e8-20c2c635e8bd
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An Evaluation Benchmark for Testing the Word Sense Disambiguation Capabilities of Machine Translation Systems ...
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An Evaluation Benchmark for Testing the Word Sense Disambiguation Capabilities of Machine Translation Systems ...
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An Evaluation Benchmark for Testing the Word Sense Disambiguation Capabilities of Machine Translation Systems ...
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Word Sense Disambiguation Using Cosine Similarity Collaborates with Word2vec and WordNet
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In: Future Internet ; Volume 11 ; Issue 5 (2019)
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Knowledge-Based Method for Word Sense Disambiguation by Using Hindi WordNet ...
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Knowledge-Based Method for Word Sense Disambiguation by Using Hindi WordNet ...
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RUSSE'2018: Human-Annotated Sense-Disambiguated Word Contexts for Russian ...
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RUSSE'2018: Human-Annotated Sense-Disambiguated Word Contexts for Russian ...
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Crowdsourcing lexical semantic judgements from bilingual dictionary users
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A Gloss Composition and Context Clustering Based Distributed Word Sense Representation Model
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In: Entropy ; Volume 17 ; Issue 9 ; Pages 6007-6024 (2015)
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Dynamic topic adaptation for improved contextual modelling in statistical machine translation
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Methods for open information extraction and sense disambiguation on natural language text ; Methoden der Offenen Informationsextraktion und Bedeutungsdisambiguierung in Texten
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