This paper harnesses collaborative annotations by students as learning feedback on online formative assessments to improve the learning achievements of students. Through the developed Web platform, students can conduct formative assessments, collaboratively annotate, and review historical records in a convenient way, while teachers can generate formative assessments, manage collaborative annota...

Crowdsourcing is a promising way to reduce the effort of collecting annotations for training gesture recognition systems. Crowdsourced annotations suffer from ”noise” such as mislabeling, or inaccurate identification of start and end time of gesture instances. In this paper we present SegmentedLCSS and WarpingLCSS, two template-matching methods offering robustness when trained with noisy crowds...

Analysis of functional genomics (transcriptomics and proteomics) datasets is hindered in agricultural species because agricultural genome sequences have relatively poor structural and functional annotation. To facilitate systems biology in these species we have established the curated, web-accessible, public resource 'AgBase' (www.agbase.msstate.edu). We have improved the structural annotation ...

Nectar enables users of the MoinMoin collaborative wiki editing environment to conveniently create and view in-text annotations to wiki documents without disturbing the underlying document. It is designed to facilitate online collaboration for traditional classroom learning by allowing authors to lock documents for editing, but still solicit comments online. Nectar has an obvious and easy to le...

We introduce ProFAL (PROtein Functional Annotation through Literature), a new information system for automatic annotation of biological databases using Bioinformatics methods. The annotations are (gene-product, functional property) pairs, associating the attributes of a gene-product, stored in the database, to functional properties. The system retrieves documents related to each geneproduct fro...

As computer vision datasets grow larger the community is increasingly relying on crowdsourced annotations to train and test our algorithms. Due to the heterogeneous and unpredictable capability of online annotators, various strategies have been proposed to “clean” crowdsourced annotations. However, these strategies typically involve getting more annotations, perhaps different types of annotatio...

Annotations have been shown to be an important activity during reading, especially during “active reading”. Annotations support understanding, interpretation, sensemaking and scannability. As valuable as in paperbased contexts, digital online annotations provide several benefits for annotators and collaborators. To study the impact of these benefits we present in this paper SpreadCrumbs, a stra...

The paper describes Aelred, a web application that demonstrates the use of language technology in the Google App Engine cloud computing environment. Aelred serves up English literary texts with optional concordances for any word and a range of linguistic annotations including part-of-speech tagging, shallow parsing, and word sense definitions from WordNet. Two alternative approaches are describ...