A Semantic and Syntactic Similarity Measure for Political Tweets
Measurement of the semantic and syntactic similarity of human utterances is essential in allowing machines to understand dialogue with users. However, human language is complex, and the semantic meaning of an utterance is usually dependent upon the context at a given time and learnt experience of th...
Main Authors: | Claire Little, David Mclean, Keeley Crockett, Bruce Edmonds |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9171252/ |
Similar Items
-
Leveraging Grammatical Roles for Measuring Semantic Similarity Between Texts
by: Md. Atabuzzaman, et al.
Published: (2021-01-01) -
A Comparison of Approaches for Measuring the Semantic Similarity of Short Texts Based on Word Embeddings
by: Karlo Babić, et al.
Published: (2020-01-01) -
The semantic similarity ensemble
by: Andrea Ballatore, et al.
Published: (2013-12-01) -
Distributional and Knowledge-Based Approaches for Computing Portuguese Word Similarity
by: Hugo Gonçalo Oliveira
Published: (2018-02-01) -
Semantic Similarity Estimation Using Vector Symbolic Architectures
by: Job Isaias Quiroz-Mercado, et al.
Published: (2020-01-01)