HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at Scale

Evaluating design ideas is necessary to predict their success and assess their impact early on in the process. Existing methods rely either on metrics computed by systems that are effective but subject to errors and bias, or experts' ratings, which are accurate but expensive and long to collect. Crowdsourcing offers a compelling way to...

LOREM: Language-consistent Open Relation Extraction from Unstructured Text

We introduce a Language-consistent multi-lingual Open Relation Extraction Model (LOREM) for finding relation tuples of any type between entities in unstructured texts. LOREM does not rely on language-specific knowledge or external NLP tools such as translators or PoS-taggers, and exploits information and structures that are consistent over...

Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content

Social media provides a timely yet challenging data source for adverse drug reaction (ADR) detection. Existing dictionary-based, semi-supervised learning approaches are intrinsically limited by the coverage and maintainability of laymen health vocabularies. In this paper, we introduce a data augmentation approach that leverages variational...

Give it a shot: Few-shot learning to normalize ADR mentions in Social Media posts

This paper describes the system that team MYTOMORROWS-TU DELFT developed for the 2019 Social Media Mining for Health Applications (SMM4H) Shared Task 3, for the end-to-end normalization of ADR tweet mentions to their corresponding MEDDRA codes. For the first two steps, we reuse a state-of-theart approach, focusing our contribution on the final...

Coner: A Collaborative Approach for Long-Tail Named Entity Recognition in Scientific Publications

Named Entity Recognition (NER) for rare long-tail entities as e.g., often found in domain-specific scientific publications is a challenging task, as typically the extensive training data and test data for fine-tuning NER algorithms is lacking. Recent approaches presented promising solutions relying on training NER algorithms in an iterative...

SmartPub: A Platform for Long-Tail Entity Extraction from Scientific Publications

This demo presents SmartPub, a novel web-based platform that supports the exploration and visualization of shallow meta-data (e.g., author list, keywords) and deep meta-data--long tail named entities which are rare, and often relevant only in specific knowledge domain--from scientific publications. The platform collects documents from different...

TSE-NER: An Iterative Approach for Long-Tail Entity Extraction in Scientific Publications

Named Entity Recognition and Typing (NER/NET) is a challenging task, especially with long-tail entities such as the ones found in scientific publications. These entities (e.g. “WebKB”, “StatSnowball”) are rare, often relevant only in specific knowledge domains, yet important for retrieval and exploration purposes. State-of-the-art NER approaches...

Concept Focus: Semantic Meta-Data For Describing MOOC Content

MOOCs promised to herald a new age of open education.<br/>However, efficient access to MOOC content is still hard, thus unneces-<br/>sarily complicating many use cases like efficient re-use of material, or<br/>tailored access for life-long learning scenarios. One of the reasons for this<br/>lack of accessibility is the shortage of meaningful...

Adinda: A knowledgeable, Browser-Based IDE

In practice, many people have to work together to develop and maintain a software system. However, the programmer’s key tool, the Integrated Development Environment (IDE), is a solo-tool, serving to help individual programmers understand and modify the system. Such an IDE does not leverage the knowledge other team members may have of the design...

Ajaxifying classicWeb applications

Recently, a new web development technique for creating interactive web applications, dubbed AJAX, has emerged in response to the limited degree of interactivity in large-grain stateless web interactions. In this new model, the web interface is composed of individual components which can be updated/replaced independently, and the client/server...

An Architectural Style for Ajax