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        <namePart type="given">Maksim</namePart>
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        <name type="personal">
            <namePart type="given">Yusuke</namePart>
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    <abstract>We explore the notion of subjectivity, and hypothesize that word embeddings learnt from input corpora of varying levels of subjectivity behave differently on natural language processing tasks such as classifying a sentence by sentiment, subjectivity, or topic. Through systematic comparative analyses, we establish this to be the case indeed. Moreover, based on the discovery of the outsized role that sentiment words play on subjectivity-sensitive tasks such as sentiment classification, we develop a novel word embedding SentiVec which is infused with sentiment information from a lexical resource, and is shown to outperform baselines on such tasks.</abstract>
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%0 Conference Proceedings
%T Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings
%A Tkachenko, Maksim
%A Chia, Chong Cher
%A Lauw, Hady
%Y Gurevych, Iryna
%Y Miyao, Yusuke
%S Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F tkachenko-etal-2018-searching
%X We explore the notion of subjectivity, and hypothesize that word embeddings learnt from input corpora of varying levels of subjectivity behave differently on natural language processing tasks such as classifying a sentence by sentiment, subjectivity, or topic. Through systematic comparative analyses, we establish this to be the case indeed. Moreover, based on the discovery of the outsized role that sentiment words play on subjectivity-sensitive tasks such as sentiment classification, we develop a novel word embedding SentiVec which is infused with sentiment information from a lexical resource, and is shown to outperform baselines on such tasks.
%R 10.18653/v1/P18-1112
%U https://aclanthology.org/P18-1112
%U https://doi.org/10.18653/v1/P18-1112
%P 1212-1221

Markdown (Informal)

[Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings](https://aclanthology.org/P18-1112) (Tkachenko et al., ACL 2018)

• Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings (Tkachenko et al., ACL 2018)

ACL

• Maksim Tkachenko, Chong Cher Chia, and Hady Lauw. 2018. Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1212–1221, Melbourne, Australia. Association for Computational Linguistics.