Argument Linking: A Survey and Forecast

2021-07-18 · William Gantt

Semantic role labeling (SRL) -- identifying the semantic relationships between a predicate and other constituents in the same sentence -- is a well-studied task in natural language understanding (NLU). However, many of these relationships are evident only at the level of the document, as a role for a predicate in one sentence may often be filled by an argument in a different one. This more general task, known as implicit semantic role labeling or argument linking, has received increased attention in recent years, as researchers have recognized its centrality to information extraction and NLU. This paper surveys the literature on argument linking and identifies several notable shortcomings of existing approaches that indicate the paths along which future research effort could most profitably be spent.

📄 PDF Abstract BibTeX arXiv:2107.08523

Code (0)

등록된 구현이 없습니다.

Tasks

Natural Language Understanding Semantic Role LabelingSentenceSurvey

Argument-Aware Approach To Event Linking

2024-03-22 · I-Hung Hsu, Zihan Xue, Nilay Pochh, Sahil Bansal 외

Event linking connects event mentions in text with relevant nodes in a knowledge base (KB). Prior research in event linking has mainly borrowed methods from entity linking, overlooking the distinct features of events. Co…

Entity Linking

Joint Modeling of Arguments for Event Understanding

2020-11-20 · Yunmo Chen, Tongfei Chen, Benjamin Van Durme

We recognize the task of event argument linking in documents as similar to that of intent slot resolution in dialogue, providing a Transformer-based model that extends from a recently proposed solution to resolve referen…

Sentence

Word Embedding and Topic Modeling Enhanced Multiple Features for Content Linking and Argument / Sentiment Labeling in Online Forums

2017-04-01 · WS 2017 4 · Lei Li, Liyuan Mao, Moye Chen

Multiple grammatical and semantic features are adopted in content linking and argument/sentiment labeling for online forums in this paper. There are mainly two different methods for content linking. First, we utilize the…

Clustering Sentence Sentence Similarity Sentiment Analysis+1

Automatically Identifying Implicit Arguments to Improve Argument Linking and Coherence Modeling

2013-06-01 · SEMEVAL 2013 6 · Michael Roth, Anette Frank

Semantic Role Labeling

Computational linking theory

2016-10-08 · Aaron Steven White, Drew Reisinger, Rachel Rudinger, Kyle Rawlins 외

A linking theory explains how verbs' semantic arguments are mapped to their syntactic arguments---the inverse of the Semantic Role Labeling task from the shallow semantic parsing literature. In this paper, we develop the…

Semantic Parsing Semantic Role Labeling