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About 7,768 papers for “annotation platform”

MODA Annotation Platform

Simon C. Warby, Sara C. Mednick, Benjamin D. Yetton et al. · OSF Preprints (OSF Preprints) · 2018

Cited by 1Open access

MODA Annotation Platform

Sara C. Mednick, Karine Lacourse, Jacques Delfrate et al. · OSF Preprints (OSF Preprints) · 2019

Cited by 0

Back2TheFuture Annotation Platform

Budts, Sara · Zenodo (CERN European Organization for Nuclear Research) · 2025

This record contains the code for the Annotation Platform of the Back2TheFuture Project, an ERC-funded research project that charts how people in the past imagined the future/their futures. The Annotation Platform is a web interface with a mongodb-backend that allows users to add (historical) documents along with their metadata and interactively engage with them by adding annotations. These annotations come in three flavors (events, narratives and free annotations), based on the Back2TheFuture annotation scheme. This app has been developed specifically for the Back2TheFuture project and has been used extensively for their research. It can, however, be used for other research purposes too.

Cited by 0Open access

LightTag: Text Annotation Platform

The 2021 Conference on Empirical Methods in Natural Language Processing 2021, Perry, Tal · Underline Science Inc. · 2021

In this video we'll highlight some of the features in LightTag's annotation platform that we think are innovative. We'll touch on workforce management and quality assurance, drag and drop relationship annotation and UX tricks we learned from Facebook to maximize annotator productivity

Cited by 0Open access

LightTag: Text Annotation Platform

Tal Perry · 2021

Text annotation tools assume that their user's goal is to create a labeled corpus. However, users view annotation as a necessary evil on the way to deliver business value through NLP. Thus an annotation tool should optimize for the throughput of the global NLP process, not only the productivity of individual annotators. LightTag is a text annotation tool designed and built on that principle. This paper shares our design rationale, data modeling choices, and user interface decisions then illustrates how those choices serve the full NLP lifecycle.

Cited by 0Open access

WAMP: Writing, Annotation, and Marking Platform

Geonsik Moon, Muhammad Reza Qorib, Daniel Dahlmeier et al. · 2023

Geonsik Moon, Muhammad Reza Qorib, Daniel Dahlmeier, Hwee Tou Ng. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: System Demonstrations. 2023.

Cited by 1Open access

Snap: an integrated SNP annotation platform

Shengting Li, Lijia Ma, Heng Li et al. · Nucleic Acids Research · 2006

Snap (Single Nucleotide Polymorphism Annotation Platform) is a server designed to comprehensively analyze single genes and relationships between genes basing on SNPs in the human genome. The aim of the platform is to facilitate the study of SNP finding and analysis within the framework of medical research. Using a user-friendly web interface, genes can be searched by name, description, position, SNP ID or clone name. Several public databases are integrated, including gene information from Ensembl, protein features from Uniprot/SWISS-PROT, Pfam and DAS-CBS. Gene relationships are fetched from BIND, MINT, KEGG and are integrated with ortholog data from TreeFam to extend the current interaction networks. Integrated tools for primer-design and mis-splicing analysis have been developed to facilitate experimental analysis of individual genes with focus on their variation. Snap is available at http://snap.humgen.au.dk/ and at http://snap.genomics.org.cn/.

Cited by 51Open access

A platform for collaborative semantic annotation

Valerio Basile, Johan Bos, Kilian Evang et al. · University of Groningen research database (University of Groningen / Centre for Information Technology) · 2012

Data-driven approaches in computational semantics are not common because there are only few semantically annotated resources available. We are building a large corpus of public-domain English texts and annotate them semi-automatically with syntactic structures (derivations in Combinatory Categorial Grammar) and semantic representations (Discourse Representation Structures), including events, thematic roles, named entities, anaphora, scope, and rhetorical structure. We have created a wiki-like Web-based platform on which a crowd of expert annotators (i.e. linguists) can log in and adjust linguistic analyses in real time, at various levels of analysis, such as boundaries (tokens, sentences) and tags (part of speech, lexical categories). The demo will illustrate the different features of the platform, including navigation, visualization and editing. 1

Cited by 21Open access

[MGAP-A microbe genome annotation platform].

Zhou Yu, Tao Li, Tao Cai et al. · PubMed · 2003

A Microbe Genome Annotation Platform (MGAP) was developed and applied to the cynobacterium PCC7002 genome annotation. Various bioinformatics software tools from sequence analysis to gene identification and function prediction were implemented in MGAP. Protein sequence databases SWISSPROT and PDBseq, protein information resource InterPro and COG were also integrated in the platform. The web interface of MGAP has the functionality to display a circular map of gene distribution and GC contents throughout the genome. Detailed information such as the DNA and protein sequence, the location of genes on chromosomes can be viewed by clicking the corresponding object within the map. MGAP is based on a PC/Linux system affordable for small biological laboratories and has the advantage of using free software tools including MySQL, Apache and Perl.

Cited by 1

Maskkot – An Entity-centric Annotation Platform

O Stellato, Heiko Stoermer, Stefano Bortoli et al. · 2010

The Semantic Web is facing the important challenge to maintain its promise of a real world-wide graph of interconnected resources. Unfortunately, while URIs almost guarantee a direct reference to entities, the relation between the two is not bijective. Many different URI references to same concepts and entities can arise when-- in such a heterogeneous setting as the WWW-- people independently build new ontologies, or populate shared ones with new arbitrarily identified individuals. The proliferation of URIs is an unwanted, though natural effect strictly bound to the same principles which characterize the Semantic Web; reducing this phenomenon will improve the recall of Semantic Search engines, which could rely on explicit links between heterogeneous information sources. To address this problem, in this paper we present an integrated environment combining the semantic annotation and ontology building features available in the Semantic Turkey web browser extension, with globally unique identifiers for entities provided by the okkam Entity Name System, thus realizing a valuable resource for preventing diffusion of multiple URIs on the (Semantic) Web. 1.

Cited by 0

Comma: A Collaborative Medical Text Annotation Platform

Hetong Ma, Xiaowei Xu, Xuwen Wang et al. · 2023

High-quality annotated data plays an important role in data-driven or machine-learning-based medical studies. Large amounts of valuable data existed in free text records such as Electronic Health Records. Manual annotation is paramount for intelligent algorithm applications where plentiful structured data could be extracted. With the exponential growth of medical data, large-scale collaborative annotation is required where different annotation tools should be used. We investigated the existing annotation platform and discovered partial common problems that need to be solved, e.g., lack of integrated annotation workflow, absence of reasonable review and review-assisting process, frequent lexicon upload failure, prolonged auto annotation, unified export standards, etc. In response to the above requirements, we developed Comma, a collaborative medical annotation platform that allows English and Chinese annotation. Comma supports functions involving multiple ways with high success rates to upload documents, self-defined structured entity types, customized auto annotation, annotators capability assessment, various collaborative modes, statistics display, self-determined exportation, etc. It could provide a user-friendly interface, diverse functionalities, and fluent interactions for people demanding annotations. Comma is available online at http://comma.phoc.org.cn.

Cited by 0

2012b. A platform for collaborative semantic annotation

Valerio Basile, Johan Bos, Kilian Evang et al. · 2016

Data-driven approaches in computational semantics are not common because there are only few semantically annotated re-sources available. We are building a large corpus of public-domain English texts and annotate them semi-automatically with syntactic structures (derivations in Com-binatory Categorial Grammar) and seman-tic representations (Discourse Representa-tion Structures), including events, thematic roles, named entities, anaphora, scope, and rhetorical structure. We have created a wiki-like Web-based platform on which a crowd of expert annotators (i.e. linguists) can log in and adjust linguistic analyses in real time, at various levels of analysis, such as boundaries (tokens, sentences) and tags (part of speech, lexical categories). The demo will illustrate the different features of the platform, including navigation, visual-ization and editing. 1

Cited by 0

Pivan: A Web-platform for Document Annotation

Thomas Constum, Florian Bebin, Pierrick Tranouez et al. · Archiving Conference · 2023

The Pivan web platform is an open-source tool for managing different stages of automatic document processing, such as layout analysis, transcription, and named entity recognition. It allows for the visualization of document segmentation, transcription at the line or paragraph level, and annotation of named entities. Pivan's web-based nature makes it perfectly suited for collaborative annotation and offers a smooth experience, even for small machines or connections. It is based on up-to-date web technologies, it includes a comprehensive API, and it can be easily deployed via Docker.

Cited by 3Open access

Korean Semantic Annotation on the EXCOM Platform

Hyunzoo Chai, Brahim Djioua, Florence Le Priol et al. · 2007

We present an automatic semantic annotation system for Korean on the EXCOM (EXploration COntextual for Multilingual) platform. The purpose of natural language processing is enabling computers to understand human language, so that they can perform more sophisticated tasks. Accordingly, current research concentrates more and more on extracting semantic information. The realization of semantic processing requires the widespread annotation of documents. However, compared to that of inflectional languages, the technology in agglutinative language processing such as Korean still has shortcomings. EXCOM identifies semantic information in Korean text using our new method, the Contextual Exploration Method. Our initial system properly annotates approximately 88% of standard Korean sentences, and this annotation rate holds across text domains.

Cited by 1

No-code MLOps Platform for Data Annotation

Hyeongbok Kim, Beomjin Kim, Wenxin Lu et al. · 2023

The increasing demand for large-scale training data in deep learning models has underscored the significance of efficient data annotation. However, manual labeling remains a time-consuming and labor-intensive process. In this paper, we propose a No-code MLOps-based data annotation system that empowers non-developers to train and apply auto-labeling models seamlessly. The system supports various annotation types, including bounding boxes, keypoints, and 3D point clouds, enabling versatile applications. We present experiments on object detection, custom keypoint estimation, and 3D point cloud segmentation, demonstrating the system's effectiveness. Our contributions include a user-friendly platform, flexible annotation support, and interactive management features, marking a step towards democratizing data annotation.

Cited by 2