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        <title>Semantic Textual Similarity with Siamese Neural Networks</title>
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        <namePart type="given">Tharindu</namePart>
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    <name type="personal">
        <namePart type="given">Constantin</namePart>
        <namePart type="family">Orasan</namePart>
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    <name type="personal">
        <namePart type="given">Ruslan</namePart>
        <namePart type="family">Mitkov</namePart>
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            <title>Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)</title>
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            <namePart type="given">Galia</namePart>
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    <abstract>Calculating the Semantic Textual Similarity (STS) is an important research area in natural language processing which plays a significant role in many applications such as question answering, document summarisation, information retrieval and information extraction. This paper evaluates Siamese recurrent architectures, a special type of neural networks, which are used here to measure STS. Several variants of the architecture are compared with existing methods</abstract>
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%0 Conference Proceedings
%T Semantic Textual Similarity with Siamese Neural Networks
%A Ranasinghe, Tharindu
%A Orasan, Constantin
%A Mitkov, Ruslan
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
%D 2019
%8 September
%I INCOMA Ltd.
%C Varna, Bulgaria
%F ranasinghe-etal-2019-semantic
%X Calculating the Semantic Textual Similarity (STS) is an important research area in natural language processing which plays a significant role in many applications such as question answering, document summarisation, information retrieval and information extraction. This paper evaluates Siamese recurrent architectures, a special type of neural networks, which are used here to measure STS. Several variants of the architecture are compared with existing methods
%R 10.26615/978-954-452-056-4_116
%U https://aclanthology.org/R19-1116
%U https://doi.org/10.26615/978-954-452-056-4_116
%P 1004-1011

Markdown (Informal)

[Semantic Textual Similarity with Siamese Neural Networks](https://aclanthology.org/R19-1116) (Ranasinghe et al., RANLP 2019)

• Semantic Textual Similarity with Siamese Neural Networks (Ranasinghe et al., RANLP 2019)

ACL

• Tharindu Ranasinghe, Constantin Orasan, and Ruslan Mitkov. 2019. Semantic Textual Similarity with Siamese Neural Networks. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 1004–1011, Varna, Bulgaria. INCOMA Ltd..