Second International Workshop on Hybrid Question Answering with Structured and Unstructured Knowledge
Part of K-CAP'19, 19-21 November, 2019, Marina del Rey, California, United States
CFP can be downloaded from cfp-haq19-kcap.pdf.
- Title and abstract submission:
September 25, 2019October 6, 2019 (Anywhere on Earth)
- Paper submission:
September 27, 2019October 6, 2019
- Notification: October 11, 2019
- Final version due: October 15, 2019
More and more knowledge is available electronically in a structured or unstructured form over the World Wide Web (WWW). Such knowledge has become a rich resource to answer our daily life questions and even scientific questions posed by domain experts. Accordingly, it becomes a necessity to develop tools that can (semi-)automatically answer questions based on the large amount of available data.
Such challenges have been targeted separately over the last years by different communities, including Query Answering in Semantic Web based on structured semantic data and Question Answering in Natural Language Processing based on unstructured textual data. While the former is powerful in representing complex questions and exploring background knowledge (e.g., large biomedical ontologies), it is often difficult to master and cannot be used without a specialized user interface. In contrast, the latter can formulate constraints that cannot be represented formally by query answering approaches due to the limited expressiveness of formal languages. But it is not obvious how to take into account the background and common sense knowledge to get precise answers over structured data.
The objective of this workshop is to bring together researchers and developers working on question/query answering systems over structured or unstructured knowledge, and create a platform to grow potential collaborations in this multidisciplinary task.
Topics of interest include, but are not limited to, the following:
- Natural Language Processing based question answering
- Ontology based query answering
- Hybrid reasoning
- Information extraction over unstructured and structured data
- Applications of question answering
- Domain-specific question answering
- Temporal event extraction from tex
- Temporal reasoning for query answering
- Ontologies and knowledge graphs
- Biomedical text analysis
- Datasets combining structured and unstructured knowledge
Papers for the workshop should be submitted in PDF format via EasyChair https://easychair.org/conferences/?conf=hqa2019 . Submitted papers must use the new ACM format published in ACM guidelines (download from here), selecting the generic “sigconf” sample . Submissions must be in English and not exceed 4-6 pages in length.
Papers must have not been previously published or be under review at another workshop. However, we encourage submissions that present summaries or highlights of work appearing elsewhere in longer form.
- Franz Baader, TU Dresden, Germany
- Brigitte Grau, LIMSI,CNRS, Université Paris Saclay, France
- Yue Ma, LRI, CNRS, Université Paris Sud, France
- Stefan Borgwardt, TU Dresden, Germany
- Sanjay Kamath, LRI/LIMSI, CNRS, Université Paris Sud, France
- Pierre Zweigenbaum, LIMSI, CNRS, Université Paris Saclay, France
- Meghyn Bienvenu, CNRS, University of Bordeaux, France
- Camille Bourgaux, ENS Paris, CNRS, France
- Jieying Chen, LRI, CNRS, Université Paris Sud, France
- Walter Forkel, TU Dresden, Germany
- Guanghui Fu, Beijing University of Technology, Chine
- Anne-Laure Ligozat, LIMSI, CNRS, Université Paris Saclay, France
- Raghava Mutharaju, GE Global Research Center, USA
- Fathia Sais, LRI, CNRS, Université Paris Sud, France
- Fabian M. Suchanek, Télécom ParisTech, France
- Michaël Thomazo, INRIA Saclay, France
- Guohui Xiao, Free University of Bozen-Bolzano, Italy
- Zheng Zhang, LIMSI, CNRS, Université Paris Saclay, France