Semantic Role Labeling with Iterative Structure Refinement

Chunchuan Lyu, Shay B. Cohen, Ivan Titov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Modern state-of-the-art Semantic Role Labeling (SRL) methods rely on expressive sentence encoders (e.g., multi-layer LSTMs) but tend to model only local (if any) interactions between individual argument labeling decisions. This contrasts with earlier work and also with the intuition that the labels of individual arguments are strongly interdependent. We model interactions between argument labeling decisions through iterative refinement. Starting with an output produced by a factorized model, we iteratively refine it using a refinement network. Instead of modeling arbitrary interactions among roles and words, we encode prior knowledge about the SRL problem by designing a restricted network architecture capturing non-local interactions. This modeling choice prevents overfitting and results in an effective model, outperforming strong factorized baseline models on all 7 CoNLL-2009 languages, and achieving state-of-the-art results on 5 of them, including English.
Original languageEnglish
Title of host publicationProceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Place of PublicationHong Kong, China
PublisherAssociation for Computational Linguistics
Pages1071-1082
Number of pages12
ISBN (Print)978-1-950737-90-1
DOIs
Publication statusPublished - 3 Nov 2019
Event2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing - Hong Kong, Hong Kong
Duration: 3 Nov 20197 Nov 2019
https://www.emnlp-ijcnlp2019.org/

Conference

Conference2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing
Abbreviated titleEMNLP-IJCNLP 2019
Country/TerritoryHong Kong
CityHong Kong
Period3/11/197/11/19
Internet address

Fingerprint

Dive into the research topics of 'Semantic Role Labeling with Iterative Structure Refinement'. Together they form a unique fingerprint.

Cite this