DWS Group - News http://example.com This RSS feed provides news about the research activities of the Data and Web Science Group at the University of Mannheim. en-gb TYPO3 News Thu, 21 Jun 2018 06:24:31 +0000 Thu, 21 Jun 2018 06:24:31 +0000 TYPO3 EXT:news news-2119 Mon, 11 Jun 2018 13:23:27 +0000 Papers accepted at ACL 2018 https://dws.informatik.uni-mannheim.deen/news/singleview/detail/News/papers-accepted-at-acl-2018/ We have three papers to be presented at the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), the premier international conference on Computational Linguistics and Natural Language Processing.

Two short papers prepared in collaboration with our colleagues from the University of Cambridge, the University of Hamburg and the University of Oslo have been accepted at the main conference track:

One paper has been accepted at the 3rd Workshop on Representation Learning for NLP (RepL4NLP) hosted by ACL 2018:

  • Samuel Broscheit: Learning Distributional Token Representations from Visual Features.
news-2108 Mon, 07 May 2018 06:56:32 +0000 Roche Hypo University Challenge won by DWS-AI https://dws.informatik.uni-mannheim.deen/news/singleview/detail/News/roche-hypo-university-challenge-won-by-dws-ai/ We are happy to announce that Jakob Huber and Timo Sztyler reached the 1st place in the Hypo University Challenge that was hosted by Roche Diabetes Care GmbH and powered by IBM. The goal of the challenge was to develop an algorithm that predicts the probability for a nocturnal hypoglycemic event (severe, mild, hypo) in the upcoming 10, 20, 30, 40, and 60 minutes.


Today, more than 425 million people have Diabetes Mellitus, a metabolic disorder characterized by an increased blood sugar level. Keeping this untreated can lead to a hyperglycemia which results in confusion, abdominal pain, and coma. The treatment of diabetes lasts as long as life, i.e., there is no cure.


After the challenge, they were invited to present their solution approach as part of the Roche internal "Diagnostics R&D Fair" in Basel where they also received a trophy for winning the challenge.

news-2105 Fri, 27 Apr 2018 09:58:42 +0000 Data Science Conference LWDA 2018 in Mannheim https://dws.informatik.uni-mannheim.deen/news/singleview/detail/News/data-science-conference-lwda-2018-in-mannheim-1/ The Data and Web Science Group is hosting the Data Science Conference LWDA 2018 in Mannheim on August 22-24, 2018.

LWDA, which expands to „Lernen, Wissen, Daten, Analysen“ („Learning, Knowledge, Data, Analytics“), covers recent research in areas such as knowledge discovery, machine learning & data mining, knowledge management, database management & information systems, information retrieval. 

The LWDA conference is organized by and brings together the various special interest groups of the Gesellschaft für Informatik (German Computer Science Society) in this area. The program comprises of joint research sessions and keynotes as well as of workshops organized by each special interest group.

Further information can be found on the conference website: https://www.uni-mannheim.de/lwda-2018/.

Download the conference poster.

Other Topics - Künstliche Intelligenz I Topics - Data Mining Topics - Decision Support Topics - Web Search and IR Chris Heiner Rainer Simone
news-2098 Tue, 17 Apr 2018 09:27:36 +0000 Paper accepted at IJCAI 2018 https://dws.informatik.uni-mannheim.deen/news/singleview/detail/News/paper-accepted-at-ijcai-2018/ Together with our colleagues Paola, Irene and Stefano at Sapienza University in Rome we have a paper accepted at the 27th International Joint Conference on Artificial Intelligence (IJCAI), the premier conference in the field of AI:

  • Stefano Faralli, Irene Finocchi, Simone Paolo Ponzetto and Paola Velardi: Efficient Pruning of Large Knowledge Graphs.
Publications Simone Research
news-2097 Tue, 17 Apr 2018 09:24:14 +0000 Paper accepted at JCDL 2018 https://dws.informatik.uni-mannheim.deen/news/singleview/detail/News/paper-accepted-at-jcdl-2018/ We have a paper accepted at the 2018 Joint Conference on Digital Libraries (JCDL), the top conference in the field of digital libraries

  • Federico Nanni, Simone Paolo Ponzetto and Laura Dietz: Entity-Aspect Linking:  Providing Fine-Grained Semantics of Entities in Context.

The work presented in the paper is a collaboration between the DWS group and Prof. Laura Dietz at the University of New Hampshire in the context of an Elite Post-Doc grant of the Baden-Württemberg Stiftung recently awarded from Laura.



Research Publications Simone
news-2096 Tue, 17 Apr 2018 09:08:19 +0000 Paper accepted at SIGIR 2018 https://dws.informatik.uni-mannheim.deen/news/singleview/detail/News/paper-accepted-at-sigir-2018/ Together with our colleague Ivan Vulic at the University of Cambridge we have a paper accepted at the 41st International ACM Conference on Research and Development in Information Retrieval (SIGIR), the premier conference in the field of Information Retrieval:

  • Robert Litschko, Goran Glavas, Ivan Vulic and Simone Paolo Ponzetto: Unsupervised Cross-Lingual Information Retrieval using Monolingual Data Only.
Research Publications Simone
news-2084 Mon, 12 Mar 2018 11:57:47 +0000 Third Cohort of Students starts Part-time Master in Data Science https://dws.informatik.uni-mannheim.deen/news/singleview/detail/News/third-cohort-of-students-starts-part-time-master-in-data-science/ The third cohort consisting of 32 students has started their studies in the part-time master program in Data Science that professors of the DWS group offer together with the Hochschule Albstadt-Sigmaringen.

This weekend the students of the third cohort of the master program as well as students participating in the certificate program Data Science were in Mannheim for a data mining project weekend.

The students worked in teams on two case studies, one in the area of online marketing, the other in the area of text mining. The teams were coached by Prof. Christian Bizer, Dr. Robert Meusel, and Alexander Diete and we were very happy to see an exciting competition between the teams for the best F1 scores as well as the highest raises in sales.

Additional Information:


Projects Chris
news-2075 Fri, 23 Feb 2018 14:41:28 +0000 Dmitry Ustalov has defended his PhD thesis https://dws.informatik.uni-mannheim.deen/news/singleview/detail/News/dmitry-ustalov-has-defended-his-phd-thesis/ Dmitry Ustalov has successfully defended his Kandidat Nauk (PhD) thesis on “Models, Methods and Algorithms for Constructing a Word Sense Network for Natural Language Processing” («Модели, методы и алгоритмы построения семантической сети слов для задач обработки естественного языка» in Russian). The defense was held at the South Ural State University (Chelyabinsk, Russia) on February 21, 2018. This thesis, among many other contributions, proposes the Watset and Watlink methods for extracting, inducing, clustering, and linking the word senses from the unstructured data.


The goal of the thesis is to develop models, methods, and algorithms for constructing a semantic network that establishes semantic links between individual word senses using the weakly structured dictionaries; as well as to implement them as the software system for word sense network construction. Therefore, Part I reviews the state-of-the-art in the field of natural language processing and urges the development of new efficient ontology induction algorithms for under-resourced languages.

Part II proposes two new algorithms, Watset and Watlink, that extract and structure the knowledge available in unstructured form. Watset is a meta-algorithm for fuzzy graph clustering. This algorithm creates an intermediate representation of the input graph that naturally reflects the “ambiguity” of its nodes. Then, it uses hard clustering to discover clusters in this intermediate graph. This makes it possible to discover synsets in a synonymy graph. Watlink is an algorithm for discovering the disambiguated hierarchical links between individual word senses. This algorithm uses the synsets obtained using Watset to contextualize the input asymmetric word links. To increase the recall of the linking, it optionally uses a regularized projection learning approach to predict additional relevant links.

Part III describes the implementation of the proposed models, methods, and algorithms as a software system. The system is implemented in Python, AWK, and Bash programming languages using the scikit-learn, TensorFlow, NetworkX, and Raptor libraries. Also, it defines the representation of the produced word sense network as Linked Data.

Part IV reports the results of the experiments conducted on the Russian language, an under-resourced natural language. Both Watset and Watlink show state-of-the-art performance on the synset induction and hypernymy detection tasks on the RuWordNet and Yet Another RussNet gold standards.

Research Group
news-2073 Tue, 20 Feb 2018 14:28:00 +0000 Paper accepted at AAAI: On Multi-Relational Link Prediction with Bilinear Models https://dws.informatik.uni-mannheim.deen/news/singleview/detail/News/paper-accepted-at-aaai-on-multi-relational-link-prediction-with-bilinear-models/ The paper "On Multi-Relational Link Prediction with Bilinear Models" (pdf) by Y. Wang, R. Gemulla and H. Li has been accepted at the 2018 AAAI Conference on Artificial Intelligence (AAAI).

We study bilinear embedding models for the task of multi-relational link prediction and knowledge graph completion. Bilinear models belong to the most basic models for this task, they are comparably efficient to train and use, and they can provide good prediction performance. The main goal of this paper is to explore the expressiveness of and the connections between various bilinear models proposed in the literature. In particular, a substantial number of models can be represented as bilinear models with certain additional constraints enforced on the embeddings. We explore whether or not these constraints lead to universal models, which can in principle represent every set of relations, and whether or not there are subsumption relationships between various models. We report results of an independent experimental study that evaluates recent bilinear models in a common experimental setup. Finally, we provide evidence that relation-level ensembles of multiple bilinear models can achieve state-of-the art prediction performance.

Publications Rainer
news-2072 Fri, 16 Feb 2018 09:07:44 +0000 Semester Kick-Off BBQ https://dws.informatik.uni-mannheim.deen/news/singleview/detail/News/semester-kick-off-bbq-2/ Traditionally, the DWS group takes the beginning of each new semester as an opportunity to host a barbecue in order to welcome new colleagues and introduce the upcoming courses to the best students of last semester. Accompanied by cold beverages and grilled food the professors gave an overview of the current activities of the group and presented the spring/summer semester program. The courses for this term are:

Data Mining IData Mining IIWeb MiningWeb Search and Information RetrievalData Mining and Matrices, Higher Level Computer Vision, Database Technology

The BBQ was attended by around 40 people. We thank all the participants for coming and wish our students a good and successful start into the new semester!

We also would like to give a big thank you to mayato who sponsored the BBQ this year!

German Version 

Traditionell nutzt die Forschungsgruppe Data und Web Science den Beginn des Semesters, um bei einem Grillfest neue Kolleginnen und Kollegen willkommen zu heißen, das aktuelle Lehrangebot vorzustellen und dazu die besten Studierenden des letzten Semester einzuladen Begleitet von Grillgut und kühlen Getränken präsentierten die Professoren die nächsten Kurse des aktuellen Semesters.

Die folgenden Kurse wurden vorgestellt:

Data Mining IData Mining IIWeb MiningWeb Search and Information RetrievalData Mining and MatricesHigher Level Computer VisionDatabase Technology

Wir bedanken uns bei allen Teilnehmern für ihr kommen und wünschen unseren Studenten einen guten und erfolgreichen Start ins neue Semester!

Besonders wollen wir uns bei mayato bedanken, die dieses Jahr das Grillfest gesponsert haben!

Group Other