Distributed Representations for Unsupervised Semantic Role Labeling
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Language ModellingMachine TranslationSemantic Role LabelingSentiment AnalysisWord EmbeddingsSimilar Papers 제목 키워드 기반
Using distributed word representations for robust semantic role labeling (Utilisation de repr\'esentations de mots pour l'\'etiquetage de r\^oles s\'emantiques suivant FrameNet) [in French]
2014-07-01 · JEPTALNRECITAL 2014 7
· William L{\'e}chelle, Philippe Langlais
Semantic Role Labeling
Semantic Role Labeling Guided Out-of-distribution Detection
2023-05-29
· Jinan Zou, Maihao Guo, Yu Tian, YuHao Lin 외
Identifying unexpected domain-shifted instances in natural language processing is crucial in real-world applications. Previous works identify the out-of-distribution (OOD) instance by leveraging a single global feature e…
Out-of-Distribution DetectionSemantic Role LabelingSentenceUnsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework
2014-12-08 · HLT 2015 5
· Ivan Titov, Ehsan Khoddam
We introduce a new approach to unsupervised estimation of feature-rich semantic role labeling models. Our model consists of two components: (1) an encoding component: a semantic role labeling model which predicts roles g…
Semantic Role LabelingOut-of-domain FrameNet Semantic Role Labeling
2017-04-01 · EACL 2017 4
· Silvana Hartmann, Ilia Kuznetsov, Teresa Martin, Iryna Gurevych
Domain dependence of NLP systems is one of the major obstacles to their application in large-scale text analysis, also restricting the applicability of FrameNet semantic role labeling (SRL) systems. Yet, current FrameNet…
Semantic Role LabelingUnsupervised Learning of Prototypical Fillers for Implicit Semantic Role Labeling
2016-06-01 · NAACL 2016 6
· Niko Schenk, Christian Chiarcos
Feature EngineeringNatural Language InferenceSemantic Role LabelingText Summarization