Despite decades of research into query optimization, optimizing queries with disjunctive predicate expressions remains a challenge. Solutions employed by existing systems (if any) are often simplistic and lead to much redundant work being performed by ...

Part-of-speech tagging plays a vital role in text processing and natural language understanding. Very few attempts have been made in the past for tagging Pashto Part-of-Speech. In this work, we present a Long Short-term Memory–based approach for Pashto ...

We propose a new language feature for ML-family languages, the ability to selectively unbox certain data constructors, so that their runtime representation gets compiled away to just the identity on their argument. Unboxing must be statically rejected ...

We present NAME XML, a schema for named entities and relations in documents. The standout features are: option to reference a variety of document formats (such as PAGE XML or plain text), support of entity hierarchies, custom entity types via ...

Visual content must be labeled to facilitate navigation and retrieval, or provide ground truth data for supervised machine learning approaches. The efficiency of labeling techniques is crucial to produce numerous qualitative labels, but existing ...

Content-based and hybrid recommender systems rely on item-tag ratings to make recommendations. An example of an item-tag rating is the degree to which the tag "comedy" applies to the movie "Back to the Future (1985)". Ratings are often generated by ...

Attaching tags to items, such as books or movies, is found in many online systems. While a majority of these systems use binary tags, continuous item-tag relevance scores, such as those in tag genome, offer richer descriptions of item content. For ...

Pair Programming (PP) is both a common practice in professional software engineering and a valuable pedagogical tool. Disciplined user-centric research on pair programming can answer important questions about how students use and benefit from PP. We have ...

Extreme multi-label classification (XMLC) refers to the task of tagging instances with small subsets of relevant labels coming from an extremely large set of all possible labels. Recently, XMLC has been widely applied to diverse web applications such as ...

Traditionally, recommender systems provide a list of suggestions to a user based on past interactions with items of this user. These recommendations are usually based on user preferences for items and generated with a delay. Critiquing recommender ...

Deployment of 100Gigabit Ethernet (GbE) links challenges the packet processing limits of commodity hardware used for Network Functions Virtualization (NFV). Moreover, realizing chained network functions (i.e., service chains) necessitates the use of ...

Through a computational reading of the online book reviewing community LibraryThing, we examine the dynamics of a collaborative tagging system and learn how its users refine and redefine literary genres. LibraryThing tags are overlapping and multi-...

This paper aimed the integration tagging and tree-bank transformation of morphology and syntax on the basis of phrase and syntax tree-bank, tagged the nested named entity in combination with the ontological linguistic clues. Finally, it integrates the ...

Assessing users' emotional reactions plays an important role in modern technologies - from image classification and crowd-sourcing, through assessing user experience, to sentiment analysis for social media and marketing data. Providing easy-to-use and ...

Little attention has been paid to how the infrastructural designs of crowd mapping platforms can result in limited participation and fewer contributions. To this end, we utilize a critical lens to study how OpenStreetMap's (OSM) techno-structure limits ...

Boris Feldman, a formidable Principal University Librarian I have met in 1980s, loved to say that a scientific library without an index is a huge pile of used paper. To make such index we add tags to the publications: concepts, topics, keywords, etc., ...

Crowd-based question answering forums and cloud-based community question answering platforms provide us with the dais to post questions and answers online. This helps the users to get desired answers from expert users. It is a challenge for a person with ...

While group chat is becoming increasingly popular for team collaboration, these systems generate long streams of unstructured back-and-forth discussion that are difficult to comprehend. In this work, we investigate ways to enrich the representation of ...

Little has changed in the design of online discussion systems in the decades they have been available, even as problems involving scale, loss of context, and bad actors mount with broader use. To solve these problems, my research is on building novel ...

The ESP Game (Google Image Labeler) demonstrated how the crowd could be used to perform a task that is easy for humans but challenging for computers - annotating images. The game facilitated the task of basic image labeling but often the labels provided ...