Semantic Tagging Framework for Contextually Augmented Features
نویسندگان
چکیده
منابع مشابه
Combining Timbric and Rhythmic Features for Semantic Music Tagging
The recent explosion of online streaming services is a reflection of the high importance the multimedia has in our everyday life. These systems deal with large collections of media pieces and their usability is tightly related to the meta-data associated with content. As long as the meta-data is correctly assigned users can easily reach what they were looking for. The presence of poorly annotat...
متن کاملTowards A Bootstrapping Framework For Corpus Semantic Tagging
Availability of source information for semantic tagging (or disambignating) words in corpora is problematic. A framework to produce a semantically tagged corpus in a domain specific perspective using as source a general purpose taxonomy (i.e. WordNet) is here proposed. The tag set is derived from higher level Wordnet synsets. A methodology aiming to support semantic bootstrapping in a NLP appli...
متن کاملA Structured SVM Semantic Parser Augmented by Semantic Tagging with Conditional Random Field
This paper presents a novel method of semantic parsing that maps a natural language (NL) sentence to a logical form. We propose a semantic parsing method by conducting separately two steps as follows; 1) The first step is to predict semantic tags for a given input sentence. 2) The second step is to build a semantic representation structure for the sentence using the sequence of semantic tags. W...
متن کاملSemantic tagging for crowd computing
The recent blow up of crowd computing initiatives on the web calls for smarter methodologies and tools to annotate, query and explore repositories. There is the need for scalable techniques able to return also approximate results with respect to a given query as a ranked set of promising alternatives. In this paper we concentrate on annotation and retrieval of software components, exploiting se...
متن کاملContextually Guided Semantic Labeling and Search for 3D Point Clouds
RGB-D cameras, which give an RGB image together with depths, are becoming increasingly popular for robotic perception. In this paper, we address the task of detecting commonly found objects in the 3D point cloud of indoor scenes obtained from such cameras. Our method uses a graphical model that captures various features and contextual relations, including the local visual appearance and shape c...
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: Computer-Aided Design and Applications
سال: 2019
ISSN: 1686-4360
DOI: 10.14733/cadaps.2020.1-15