DE eng

Search in the Catalogues and Directories

Hits 1 – 14 of 14

1
Multi-sense embeddings through a word sense disambiguation process ...
Abstract: Natural Language Understanding has seen an increasing number of publications in the last few years, especially after robust word embeddings models became prominent, when they proved themselves able to capture and represent semantic relationships from massive amounts of data. Nevertheless, traditional models often fall short in intrinsic issues of linguistics, such as polysemy and homonymy. Any expert system that makes use of natural language in its core, can be affected by a weak semantic representation of text, resulting in inaccurate outcomes based on poor decisions. To mitigate such issues, we propose a novel approach called Most Suitable Sense Annotation (MSSA), that disambiguates and annotates each word by its specific sense, considering the semantic effects of its context. Our approach brings three main contributions to the semantic representation scenario: (i) an unsupervised technique that disambiguates and annotates words by their senses, (ii) a multi-sense embeddings model that can be extended to ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2101.08700
https://arxiv.org/abs/2101.08700
BASE
Hide details
2
Detecting Cross-Language Plagiarism using Open Knowledge Graphs ...
BASE
Show details
3
Detecting Cross-Language Plagiarism using Open Knowledge Graphs ...
BASE
Show details
4
Detecting Cross-Language Plagiarism using Open Knowledge Graphs ...
BASE
Show details
5
Detecting Cross-Language Plagiarism using Open Knowledge Graphs ...
BASE
Show details
6
Detecting Cross-Language Plagiarism using Open Knowledge Graphs ...
BASE
Show details
7
Detecting Cross-Language Plagiarism using Open Knowledge Graphs ...
BASE
Show details
8
Incorporating Word Sense Disambiguation in Neural Language Models ...
BASE
Show details
9
Enhanced word embeddings using multi-semantic representation through lexical chains ...
BASE
Show details
10
Enhanced word embeddings using multi-semantic representation through lexical chains ...
Ruas, Terry; Ferreira, Charles H. P.; Grosky, William. - : University of Michigan, 2019
BASE
Show details
11
Semantic Feature Extraction Using Multi-Sense Embeddings and Lexical Chains
Ruas, Terry L.. - 2019
BASE
Show details
12
Multi-sense Embeddings through a Word Sense Disambiguation Process
BASE
Show details
13
Semantic-Based Document Retrieval Using Spatial Distributions of Concepts ...
Ruas, Terry L.;Grosky, William I.. - : University of Michigan, 2017
BASE
Show details
14
Exploring and Expanding the Use of Lexical Chains in Information Retrieval
BASE
Show details

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
14
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern