منابع مشابه
Spatial Role Labeling Annotation Scheme
Given the large body of the past research on various aspects of spatial information, the main obstacles for employing machine learning for extraction of this type of information from natural language have been: a) the lack of an agreement on a unique semantic model for spatial information; b) the diversity of formal spatial representation models ; c) the gap between the expressiveness of natura...
متن کاملDeep Embedding for Spatial Role Labeling
This paper introduces the visually informed embedding of word (VIEW), a continuous vector representation for a word extracted from a deep neural model trained using the Microsoft COCO data set to forecast the spatial arrangements between visual objects, given a textual description. The model is composed of a deep multilayer perceptron (MLP) stacked on the top of a Long Short Term Memory (LSTM) ...
متن کاملSemEval-2012 Task 3: Spatial Role Labeling
This SemEval2012 shared task is based on a recently introduced spatial annotation scheme called Spatial Role Labeling. The Spatial Role Labeling task concerns the extraction of main components of the spatial semantics from natural language: trajectors, landmarks and spatial indicators. In addition to these major components, the links between them and the general-type of spatial relationships in...
متن کاملSemEval-2013 Task 3: Spatial Role Labeling
Many NLP applications require information about locations of objects referenced in text, or relations between them in space. For example, the phrase a book on the desk contains information about the location of the object book, as trajector, with respect to another object desk, as landmark. Spatial Role Labeling (SpRL) is an evaluation task in the information extraction domain which sets a goal...
متن کاملSpatial Role Labeling: Task Definition and Annotation Scheme
One of the essential functions of natural language is to talk about spatial relationships between objects. Linguistic constructs can express highly complex, relational structures of objects, spatial relations between them, and patterns of motion through spaces relative to some reference point. Learning how to map this information onto a formal representation from a text is a challenging problem...
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ژورنال
عنوان ژورنال: ACM Transactions on Speech and Language Processing
سال: 2011
ISSN: 1550-4875,1550-4883
DOI: 10.1145/2050104.2050105