NAACL-HLT 2019: News Article Teaser Tweets and How to Generate Them, Minneapolis, USA, June 2nd, 2019
Abstract: We define the task of teaser generation and provide an evaluation benchmark and baseline systems for it. A teaser is a short reading suggestion for an article that is illustrative and includes curiosity-arousing elements to entice potential readers to…
Talk: Trends in Machine Learning Research, CKI Conference Data Analytics and Artificial Intelligence, Technical University Munich (TUM), Munich, Germany, February 26th, 2018
Passion for Deep Learning Research: TUM University and Siemens – indeed a great match! Delighted to share some trends, collaborations and impact of Artificial Intelligence and Deep Learning Research at the TU Munich CKI Conference on „Data Analytics and Artificial…
MOOC: Industrial Artificial Intelligence at Siemens – from the impact of Deep Learning, the creation of Conversational AI, to AI-centric API ecosystem
Awesome – finishing the MOOC on Artificial Intelligence at Siemens – from the impact of Deep Learning, the creation of Conversational AIs, to the acceleration via an AI-centric API ecosystem. Proud to push the Siemens AI Lab further – accelerating…
End-to-End Trainable Attentive Decoder for Hierarchical Entity Classification
Abstract: We address fine-grained entity classification and propose a novel attention-based recurrent neural network (RNN) encoderdecoder that generates paths in the type hierarchy and can be trained end-to-end. We show that our model performs better on fine-grained entity classification than…
AI & Machine Learning with Meaningful Impact
My research connects the concepts and methods of social networks and the semantic web with machine learning and natural language processing. I am interested in combining human intelligence with artificial intelligence methodologies. I am specifically interested in methods that bridge the areas of connectionism and symbolic models applied to real-world applications
USI Answers: Natural Language Question Answering Over (Semi-) Structured Industry Data
Abstract: The paper reports on the progress towards the goal of offering easy access to enterprise data to a large number of business users, most of whom are not familiar with the specific syntax or semantics of the underlying data…
Connecting Question Answering and Conversational Agents: Contextualizing German Questions for Interactive Question Answering Systems
Abstract: Research results in the field of Question Answering (QA) have shown that the classification of natural language questions significantly contributes to the accuracy of the generated answers. In this paper we present an approach which extends the prevalent question…
Knowledge Enhanced Embodied Cognitive Interaction Technology (KnowCIT)
CITEC – Cognitive Interaction Technology – Center of Excellence Summary The project has built a technology which enables artificial agents to explore “crowdsourced” knowledge resources generated by large communities of web users. Project: Knowledge Enhanced Embodied Cognitive Interaction Technology Supervisor(s): Ipke…
WikiQA – Question Answering
WikiQA is a German open domain question answering system that uses the Wikipedia as a knowledge base to answer natural language questions. It has been developed by the KnowCIT project (Artificial Intelligence Group) within the CITEC at Bielefeld University. Using…
Integrating Content and Structure Learning: A Model of Hypertext Zoning and Sounding
Title: Integrating Content and Structure Learning: A Model of Hypertext Zoning and Sounding Authors: Alexander Mehler and Ulli Waltinger Pub/Conf: Modeling, Learning and Processing of Text Technological Data Structures. Mehler A, Henning Lobin and Harald Lüngen and K-UK, Storrer A, Witt…
