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]

Distributed Representations for Unsupervised Semantic Role Labeling

Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling

Semantic role labeling (SRL) is the task of identifying predicates and labeling argument spans with semantic roles. Even though most semantic-role formalisms are built upon constituent syntax and only syntactic constitue…

Enhancing Opinion Role Labeling with Semantic-Aware Word Representations from Semantic Role Labeling

Opinion role labeling (ORL) is an important task for fine-grained opinion mining, which identifies important opinion arguments such as holder and target for a given opinion trigger. The task is highly correlative with se…

Out-of-domain FrameNet Semantic Role Labeling

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…

Syntax-aware Semantic Role Labeling without Parsing

In this paper we focus on learning dependency aware representations for semantic role labeling without recourse to an external parser. The backbone of our model is an LSTM-based semantic role labeler jointly trained with…