منابع مشابه
Semantic Proto-Role Labeling
The semantic function tags of Bonial, Stowe, and Palmer (2013) and the ordinal, multi-property annotations of Reisinger et al. (2015) draw inspiration from Dowty’s semantic proto-role theory. We approach proto-role labeling as a multi-label classification problem and establish strong results for the task by adapting a successful model of traditional semantic role labeling. We achieve a proto-ro...
متن کاملAutomatic Semantic Role Labeling
The goal of semantic role labeling is to map sentences to domain-independent semantic representations, which abstract away from syntactic structure and are important for deep NLP tasks such as question answering, textual entailment, and complex information extraction. Semantic role labeling has recently received significant interest in the natural language processing community. In this tutorial...
متن کاملSemantic Role Labeling
This tutorial will describe semantic role labeling, the assignment of semantic roles to eventuality participants in an attempt to approximate a semantic representation of an utterance. The linguistic background and motivation for the definition of semantic roles will be presented, as well as the basic approach to semantic role annotation of large amounts of corpora. Recent extensions to this ap...
متن کاملVisual Semantic Role Labeling
In this paper we introduce the problem of Visual Semantic Role Labeling: given an image we want to detect people doing actions and localize the objects of interaction. Classical approaches to action recognition either study the task of action classification at the image or video clip level or at best produce a bounding box around the person doing the action. We believe such an output is inadequ...
متن کاملAutomatically Labeling Semantic Classes
Systems that automatically discover semantic classes have emerged in part to address the limitations of broad-coverage lexical resources such as WordNet and Cyc. The current state of the art discovers many semantic classes but fails to label their concepts. We propose an algorithm labeling semantic classes and for leveraging them to extract is-a relationships using a top-down approach.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Psychonomic Science
سال: 1971
ISSN: 0033-3131
DOI: 10.3758/bf03332591