Neural Models of Selectional Preferences for Implicit Semantic Role Labeling

M.N. Le, A.S. Fokkens

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Implicit Semantic Role Labeling is a challenging task: it requires high-level understanding of the text while annotated data is very
limited. Due to the lack of training data, most researches either resort to simplistic machine learning methods or focus on automatically
acquiring training data. In this paper, we explore the possibilities of using more complex and expressive machine learning models
trained on a large amount of explicit roles. In addition, we compare the impact of one-way and multi-way selectional preference with the
hypothesis that the added information in multi-way models are beneficial. Although our models surpass a baseline that uses prototypical
vectors for SemEval-2010, we otherwise face mostly negative results. Selectional preference models perform lower than the baseline
on ON5V, a dataset of five ambiguous and frequent verbs. They are also outperformed by the Naive Bayes model of Feizabadi and
Pado (2015) on both datasets. We conclude that, even though multi-way selectional preference improves results for predicting explicit
semantic roles compared to one-way selectional preference, it harms performance for implicit roles. We release our source code,
including the reimplementation of two previously unavailable systems to enable further experimentation.
Original languageEnglish
Title of host publicationProceedings of the 11th edition of the Language Resources and Evaluation Conference (LREC2018)
EditorsHitoshi Isahara, Bente Maegaard, Stelios Piperidis, Christopher Cieri, Thierry Declerck, Koiti Hasida, Helene Mazo, Khalid Choukri, Sara Goggi, Joseph Mariani, Asuncion Moreno, Nicoletta Calzolari, Jan Odijk, Takenobu Tokunaga
Place of PublicationMiyazaki
PublisherEuropean Language Resources Association (ELRA)
Pages3062-3067
Number of pages6
ISBN (Electronic)9791095546009
ISBN (Print)9791095546009
Publication statusPublished - 2018
EventInternational FrameNet Workshop at LREC, May 12, 2018 - Miyazaki, Japan
Duration: 12 May 201812 May 2018
Conference number: 3

Conference

ConferenceInternational FrameNet Workshop at LREC, May 12, 2018
Abbreviated titleLREC
Country/TerritoryJapan
CityMiyazaki
Period12/05/1812/05/18

Funding

The work presented in this paper was funded by the Netherlands Organization for Scientific Research (NWO) via the Spinoza grant, awarded to Piek Vossen and via VENI grant 275-89-029 awarded to Antske Fokkens. Experiments were carried out on the Dutch national e-infrastructure with the support of SURF Cooperative.

FundersFunder number
Netherlands Organization for Scientific Research
Nederlandse Organisatie voor Wetenschappelijk Onderzoek275-89-029

    Keywords

    • Implicit semantic role labeling
    • Neural network
    • Selectional preferences

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