Annotation

About: Annotation is a research topic. Over the lifetime, 6719 publications have been published within this topic receiving 203463 citations. The topic is also known as: note & markup.

RadSem: Semantic Annotation and Retrieval for Medical Images

Abstract: We present a tool for semantic medical image annotation and retrieval. It leverages the MEDICO ontology which covers formal background information from various biomedical ontologies such as the Foundational Model of Anatomy (FMA), terminologies like ICD-10 and RadLex and covers various aspects of clinical procedures. This ontology is used during several steps of annotation and retrieval: (1) We developed an ontology-driven metadata extractor for the medical image format DICOM. Its output contains, e. g. , person name, age, image acquisition parameters, body region, etc . (2) The output from (1) is used to simplify the manual annotation by providing intuitive visualizations and to provide a preselected subset of annotation concepts. Furthermore, the extracted metadata is linked together with anatomical annotations and clinical findings to generate a unified view of a patient's medical history. (3) On the search side we perform query expansion based on the structure of the medical ontologies. (4) Our ontology for clinical data management allows us to link and combine patients, medical images and annotations together in a comprehensive result list. (5) The medical annotations are further extended by links to external sources like Wikipedia to provide additional information.

A Framework for Annotating Information Structure in Discourse

Abstract: We present a framework for the integrated analysis of the textual and prosodic characteristics of information structure in the Switchboard corpus of conversational English. Information structure describes the availability, organisation and salience of entities in a discourse model. We present standards for the annotation of information status (old, mediated and new), and give guidelines for annotating information structure, i.e. theme/rheme and back-ground/kontrast. We show that information structure in English can only be analysed concurrently with prosodic prominence and phrasing. This annotation, using stand-off XML in NXT, can help establish standards for the annotation of information structure in discourse.

Automatic video annotation through search and mining

Abstract: Conventional approaches to video annotation predominantly focus on supervised identification of a limited set of concepts, while unsupervised annotation with infinite vocabulary remains unexplored. This work aims to exploit the overlap in content of news video to automatically annotate by mining similar videos that reinforce, filter, and improve the original annotations. The algorithm employs a two-step process of search followed by mining. Given a query video consisting of visual content and speech-recognized transcripts, similar videos are first ranked in a multimodal search. Then, the transcripts associated with these similar videos are mined to extract keywords for the query. We conducted extensive experiments over the TRECVID 2005 corpus and showed the superiority of the proposed approach to using only the mining process on the original video for annotation. This work represents the first attempt at unsupervised automatic video annotation leveraging overlapping video content.

Maintaining annotations for distributed and versioned files

Abstract: Methods, systems, and articles of manufacture for maintaining annotations for changing source documents are provided. For some embodiments, an annotation system may support multiple policies, with each policy dictating how (or if) an annotation created for a version of a source document should be applied to subsequent versions of the source document. For some embodiments, a user creating an annotation may select from a group of available policies to be applied to the annotation. For some embodiments, policies may be enforced when annotated documents are checked into a content management system used to manage the annotated documents.

Data, Annotations and Measures in EASY the Evaluation Campaign for Parsers of French.

Abstract: This paper presents the protocol of EASY the evaluation campaign for syntactic parsers of French in the EVALDA project of the TECHNOLANGUE program. We describe the participants, the corpus and its genre partitioning, the annotation scheme, which allows for the annotation of both constituents and relations, the evaluation methodology and, as an illustration, the results obtained by one participant on half of the corpus.