Semantic Role Labeling (SRL) is defined as the task to recognize arguments for a given predicate and assign semantic role labels to them. 语义角色标注是一种浅层语义分析技术,以句子为单位,分析句子的谓词-论元结构,其理论基础来源于Fillmore(1968)年提出的格语法,不对句子所包含的语义信息进行深入分析。
语义分析的高级阶段，语义角色标注（SRL）技术，以其谓词-论元结构分析见长，适用于信息检索、信息抽取、自动文摘等应用场景。SRL核心任务是识别句子中谓词及其对应的语义角色，例如“我吃肉”中的“我”是执行者，“肉”是受事。英文领域有成熟SRL数据集，而中文数据集相对较少，其中Chinese Proposition Ban...
1. SRL定义 Semantic Role Labeling (SRL) is defined as the task to recognize arguments for a given predicate and assign semantic role labels to them. 语义角色标注是一种浅层语义分析技术,以句子为单位,分析句子的谓词-论元结构,其理论基础来源于Fillmore(1968)年提出的格语法,不对句子所包含的语义信息进...
A Structured Span Selector (NAACL 2022). A structured span selector with a WCFG for span selection tasks (coreference resolution, semantic role labelling, etc.) nlpnaaclnamed-entity-recognitionnersrlcoreference-resolutionstructured-predictionsemantic-role-labelingnaacl2022 ...
Semantic role labelling with similarity-based generalization using EM-based clusteringUlrike BaldeweinKatrin ErkSebastian PadoDetlef Prescher
Semantic role labeling with chunk sequences We describe a statistical approach to semantic role labelling that employs only shallow information. We use a Maximum Entropy learner, augmented by EM-base... U Baldewein,K Erk,S Padó,... - 《Proceedings of Conll》...
This technique is often called SRL (Semantic Role Labelling). The system was developed for Frame Semantics; thus we use Frame Semantics terminology and call the classes frames and the roles frame elements. However, the architecture is reasonably general, and with a certain amount of adaption, Sh...
Building the gist of a scene: The role of global image features in recognition. Prog. Brain Res. 2006, 155, 23–36. [Google Scholar] Dalal, N.; Triggs, B. Histograms of oriented gradients for human detection. In Proceedings of the IEEE Computer Society Conference on Computer Vision and ...
Semantic role labelling (SRL), also called shallow semantic parsing [10], is a popular semantic analysis technique. In SRL, sentences are represented by one or more predicate-argument structures (PAS), also known as propositions [11]. Each PAS is composed of a predicate (e.g., a verb) ...
To make this possible, an array of technologies and methods needs to work hand in hand, from industrial imaging sensors, navigation instruments and high-bandwidth communication links to real-time capable state estimation and reconstruction algorithms as well as object detection and semantic labelling ...