Search Results

Data annotation is indispensable to AI development; annotation tasks ranging from image labelling to toxicity detection capture contextual human judgement needed to train and sustain AI systems. Yet it is often constituted as a repetitive, standardised ...

Understanding human actions from videos is essential in many domains, including sports. In figure skating, technical judgments are performed by watching skaters' 3D movements, and its part of the judging procedure can be regarded as a Temporal Action ...

We present AnnoRank, a web-based user interface (UI) framework designed to facilitate collecting crowdsource annotations in the context of information retrieval. AnnoRank enables the collection of explicit and implicit annotations for a specified query ...

HUMAN 2024 is the 7th workshop of a series for the ACM Hypertext conferences. The HUMAN workshop has a strong focus on the user and thus is complementary to the strong machine analytics research direction that could be experienced in previous ...

The data science ecosystem encompasses data fairness, statistical, ML and AI methods and tools, interpretable data analysis and results, and trustworthy decision-making. Rapid advancements in AI have revolutionized data utilization and enabled machines ...

Static analyzers can reason about the properties and behaviors of programs and detect various issues without executing them. Hence, they should extract the necessary information to understand the analyzed program well. Annotation has been a widely used ...

Natural language processing (NLP) techniques have been widely applied in the requirements engineering (RE) field to support tasks such as classification and ambiguity detection. Despite its empirical vocation, RE research has given limited attention to ...

Data annotation is a process of meaning-making and is inherently political. The literature on ethics in data-driven technologies explores these political aspects, primarily focusing on questions of bias and power. This paper argues that the politics of ...

Annotated images are required for numerous computer vision tasks; however, the annotation process can be time-consuming for crowdworkers and experts. Previous work has investigated novel interaction techniques and task reformulation to speed up this ...

Understanding defining features of conspiracy narratives presents a significant challenge. Existing research predominantly focuses on online platforms as alternative information sources, overlooking the self-reinforcing dynamics influencing content ...

While the use of machine learning for the detection of propaganda techniques in text has garnered considerable attention, most approaches focus on "black-box'' solutions with opaque inner workings. Interpretable approaches provide a solution, however, ...

Maps are crucial in conveying geospatial data in diverse contexts such as news and scientific reports. This research, utilizing thematic maps, probes deeper into the underexplored intersection of text framing and map types in influencing map ...

AI-assisted interactive annotation is a powerful way to facilitate data annotation—a prerequisite for constructing robust AI models. While AI-assisted interactive annotation has been extensively studied in static settings, less is known about its usage in ...

In the rapidly evolving field of autonomous vehicle (AV) technology, virtual reality (VR) simulations have proven to be an effective method in interaction research. This paper addresses the significant gap in existing tools for annotating and analyzing ...

Nowadays huge number of web databases is accessible through front-end search query forms. The data records returned are embedded within HTML templates and returned to the end-user in the form of web pages. These web pages are dynamically generated and ...

The concept of artificial intelligence arose in the middle of the 20th century, but the rapid development of one specific area for the implementation of artificial intelligence, namely, neural networks, has only occurred over the past 10 years. ...

Detecting traffic signs on images has many applications within the transportation area, e.g., speed limit detection, navigation, asset management, and autonomous vehicles. A significant challenge in detecting traffic signs is that a large set of labeled ...

Archaeological excavations play a major role in gaining knowledge about prehistoric landscapes and ways of living. However, archaeological excavations are destructive acts and very resource intensive, so they cannot be performed in every area of ...

Scientific research increasingly uses modern information-gathering methods such as crowdsourcing. There are several platforms that use the contribution of many individuals to perform specific tasks such as object identification in images. It is an ...

When groups of people are tasked with making a judgment, the issue of uncertainty often arises. Existing methods to reduce uncertainty typically focus on iteratively improving specificity in the overall task instruction. However, uncertainty can arise ...