Results 81 to 90 of about 6,823 (202)
Two knowledge-based methods for High-Performance Sense Distribution Learning [PDF]
, 2018 Knowing the correct distribution of senses within a corpus can potentially boost the performance of Word Sense Disambiguation (WSD) systems by many points.
Navigli, Roberto, Pasini, Tommaso
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Journal of Electrical and Computer Engineering, Volume 2024, Issue 1, 2024.In this study, the authors present a novel methodology adept at decoding multilingual topic dynamics and identifying communication trends during crises. We focus on dialogues within Tunisian social networks during the coronavirus pandemic and other notable themes like sports and politics. We start by aggregating a varied multilingual corpus of comments
Samawel Jaballi +6 more
wiley +1 more source
UESTS: An Unsupervised Ensemble Semantic Textual Similarity Method
IEEE Access, 2019 Semantic textual similarity (STS) is the task of assessing the degree of similarity between two texts in terms of meaning. Several approaches have been proposed in the literature to determine the semantic similarity between texts. The most promising work
Basma Hassan +3 more
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A Word Sense-Oriented User Interface for Interactive Multilingual Text Retrieval [PDF]
, 2011 In this paper we present an interface for supporting a user in an interactive cross-language search process using semantic classes. In order to enable users to access multilingual information, different problems have to be solved: disambiguating and ...
DeLuca, Ernesto William +1 more
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On the representativeness of convolutional neural networks layers [PDF]
, 2016 Convolutional Neural Networks (CNN) are the most popular of deep network models due to their applicability and success in image processing. Although plenty of effort has been made in designing and training better discriminative CNNs, little is yet known ...
Ayguadé Parra, Eduard +8 more
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Experiments on applying relaxation labeling to map multilingual hierarchies [PDF]
, 1999 This paper explores the automatic construction of a multilingual Lexical Knowledge Base from preexisting lexical resources. This paper presents a new approach for linking already existing hierarchies.
Daude Ventura, Jordi +2 more
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Learning Graph Embeddings from WordNet-based Similarity Measures
, 2019 We present path2vec, a new approach for learning graph embeddings that relies on structural measures of pairwise node similarities. The model learns representations for nodes in a dense space that approximate a given user-defined graph distance measure ...
Biemann, Chris +4 more
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Journal of Intelligent Systems, 2017 The assessment of answers is an important process that requires great effort from evaluators. This assessment process requires high concentration without any fluctuations in mood.
Ramamurthy Madhumitha +1 more
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Dynamic verbs in the Wordnet of Polish
Cognitive Studies | Études cognitives, 2018 Dynamic verbs in the Wordnet of Polish The paper presents patterns of co-occurrences of wordnet relations involving verb lexical units in plWordNet - a large wordnet of Polish.
Agnieszka Dziob, Maciej Piasecki
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ShotgunWSD 2.0: An Improved Algorithm for Global Word Sense Disambiguation
IEEE Access, 2019 ShotgunWSD is a recent unsupervised and knowledge-based algorithm for global word sense disambiguation (WSD). The algorithm is inspired by the Shotgun sequencing technique, which is a broadly-used whole genome sequencing approach. ShotgunWSD performs WSD
Andrei M. Butnaru, Radu Tudor Ionescu
doaj +1 more source