Learning representations for soft skill matching

Luiza Sayfullina*, Eric Malmi, Juho Kannala

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

4 Sitaatiot (Scopus)
35 Lataukset (Pure)

Abstrakti

Employers actively look for talents having not only specific hard skills but also various soft skills. To analyze the soft skill demands on the job market, it is important to be able to detect soft skill phrases from job advertisements automatically. However, a naive matching of soft skill phrases can lead to false positive matches when a soft skill phrase, such as friendly, is used to describe a company, a team, or another entity, rather than a desired candidate. In this paper, we propose a phrase-matching-based approach which differentiates between soft skill phrases referring to a candidate vs. something else. The disambiguation is formulated as a binary text classification problem where the prediction is made for the potential soft skill based on the context where it occurs. To inform the model about the soft skill for which the prediction is made, we develop several approaches, including soft skill masking and soft skill tagging. We compare several neural network based approaches, including CNN, LSTM and Hierarchical Attention Model. The proposed tagging-based input representation using LSTM achieved the highest recall of 83.92% on the job dataset when fixing a precision to 95%.

AlkuperäiskieliEnglanti
OtsikkoAnalysis of Images, Social Networks and Texts - 7th International Conference, AIST 2018, Revised Selected Papers
ToimittajatAlexander Panchenko, Wil M. van der Aalst, Michael Khachay, Panos M. Pardalos, Vladimir Batagelj, Natalia Loukachevitch, Goran Glavaš, Dmitry I. Ignatov, Sergei O. Kuznetsov, Olessia Koltsova, Irina A. Lomazova, Andrey V. Savchenko, Amedeo Napoli, Marcello Pelillo
Sivut141-152
Sivumäärä12
DOI - pysyväislinkit
TilaJulkaistu - 1 tammikuuta 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Conference on Analysis of Images, Social Networks and Texts - Moscow, Venäjä
Kesto: 5 heinäkuuta 20187 heinäkuuta 2018
Konferenssinumero: 7

Julkaisusarja

NimiLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vuosikerta11179 LNCS
ISSN (painettu)0302-9743
ISSN (elektroninen)1611-3349

Conference

ConferenceInternational Conference on Analysis of Images, Social Networks and Texts
LyhennettäAIST
MaaVenäjä
KaupunkiMoscow
Ajanjakso05/07/201807/07/2018

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  • Siteeraa tätä

    Sayfullina, L., Malmi, E., & Kannala, J. (2018). Learning representations for soft skill matching. teoksessa A. Panchenko, W. M. van der Aalst, M. Khachay, P. M. Pardalos, V. Batagelj, N. Loukachevitch, G. Glavaš, D. I. Ignatov, S. O. Kuznetsov, O. Koltsova, I. A. Lomazova, A. V. Savchenko, A. Napoli, & M. Pelillo (Toimittajat), Analysis of Images, Social Networks and Texts - 7th International Conference, AIST 2018, Revised Selected Papers (Sivut 141-152). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta 11179 LNCS). https://doi.org/10.1007/978-3-030-11027-7_15