Coarse-grained semantic categories such as supersenses have proven useful for a range of
downstream tasks such as question answering or machine translation. To date, no effort has …

In contrast to identity anaphors, which indicate coreference between a noun phrase and its
antecedent, bridging anaphors link to their antecedent (s) via lexico-semantic, frame, or …

In this work, we investigate transfer learning from semantic role labeling (SRL) to event
argument extraction (EAE), considering their similar argument structures. We view the …

This paper presents the Predicate Matrix v1. 1, a new lexical resource resulting from the
integration of multiple sources of predicate information including FrameNet (Baker et al …

Bridging resolution plays an important role in establishing (local) entity coherence. This
paper proposes a rule-based approach for the challenging task of unrestricted bridging …

Implicit semantic role labeling (iSRL) is the task of predicting the semantic roles of a
predicate that do not appear as explicit arguments, but rather regard common sense …

This paper presents a novel approach to improve the interoperability between four semantic
resources that incorporate predicate information. Our proposal defines a set of automatic …

Semantic role labeling (SRL) is a central natural language processing (NLP) task aiming to
understand the semantic roles within texts, facilitating a wide range of downstream …

Gold annotations for supervised implicit semantic role labeling are extremely sparse and
costly. As a lightweight alternative, this paper describes an approach based on …

Existing methods for Japanese predicate argument structure (PAS) analysis identify case
arguments of each predicate without considering interactions between the target PAS and …