RSS-Feed http://example.com en-gb TYPO3 News Fri, 14 Dec 2018 12:23:32 +0000 Fri, 14 Dec 2018 12:23:32 +0000 TYPO3 EXT:news news-2164 Thu, 04 Oct 2018 20:27:13 +0000 New DFG Project on joining graph- and vector-based sense representations for semantic end-user information access https://dws.informatik.uni-mannheim.deen/news/singleview/detail/News/new-dfg-project-on-joining-graph-and-vector-based-sense-representations-for-semantic-end-user-infor/ We are happy to announce that the Deutsche Forschungsgemeinschaft accepted our proposal for extending a joint research project on hybrid semantic representations together with our friends and colleagues of the Language Technology Group of the University of Hamburg.


The project, titled "Joining graph- and vector-based sense representations for semantic end-user information access" (JOIN-T 2) builds upon and aims at bringing our JOIN-T project (also funded funded by DFG) one step forward. Our vision for the next three years is to explore ways to produce semantic representations that combine the interpretability of manually crafted resources and sparse representations with the accuracy and high coverage of dense neural embeddings.

Stay tuned for forthcoming research papers and resources!

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Research Topics - Artificial Intelligence (NLP) Simone
news-2151 Tue, 28 Aug 2018 12:34:04 +0000 Paper accepted at EMNLP 2018 https://dws.informatik.uni-mannheim.deen/news/singleview/detail/News/paper-accepted-at-emnlp-2018/ Our long paper submission

"Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models " (Anne Lauscher, Goran Glavaš, Kai Eckert, and Simone Paolo Ponzetto)

got accepted at the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), one of the top-tier conferences in natural language processing!

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Simone Publications Kai Topics - Artificial Intelligence (NLP) Research - Data Analytics
news-2105 Fri, 10 Aug 2018 09:58:00 +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.

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Other Topics - Künstliche Intelligenz I Topics - Data Mining Topics - Decision Support Topics - Web Search and IR Chris Heiner Rainer Simone
news-2123 Fri, 22 Jun 2018 09:35:32 +0000 JCDL 2018 - Vannevar Bush Best Paper Award https://dws.informatik.uni-mannheim.deen/news/singleview/detail/News/jcdl-2018-vannevar-bush-best-paper-award/ Our paper "Entity-Aspect Linking: Providing Fine-Grained Semantics of Entities in Context" has recently won the Vannevar Bush best paper award at the 2018 Joint Conference on Digital Libraries (JCDL), the top conference in the field of digital libraries!

The work, coauthored by Federico Nanni, Simone Paolo Ponzetto and Laura Dietz, is part of a collaboration between the DWS group and the University of New Hampshire in the context of an Elite Post-Doc grant of the Baden-Württemberg Stiftung recently awarded from Laura.

Congratulations also to Myriam Traub, Thaer Samar, Jacco van Ossenbruggen and Lynda Hardman, who, with their work, share with us the 2018 best paper award!

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Simone Publications Research
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.
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Research Publications 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.
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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.

 

 

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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.
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Research Publications Simone
news-2060 Fri, 19 Jan 2018 13:07:59 +0000 Paper accepted for Digital Scholarship in the Humanities https://dws.informatik.uni-mannheim.deen/news/singleview/detail/News/paper-accepted-for-digital-scholarship-in-the-humanities/ We have a paper accepted in Digital Scholarship in the Humanities, the premier journal in the field of Digital Humanities.

Federico Nanni, Laura Dietz and Simone Paolo Ponzetto. Toward a computational history of universities: Evaluating text mining methods for interdisciplinarity detection from PhD dissertation abstracts. To appear in Digital Scholarship in the Humanities. DOI: 10.1093/llc/fqx062 (available with a free-access article link here). 

The work presented in the paper is a collaboration between the DWS group and Prof. Laura Dietz at the University of New Hampshire.

Abstract

For the first time, historians of higher education have large data sets of primary sources that reflect the complete output of academic institutions at their disposal. To analyze this unprecedented abundance of digital materials, scholars have access to a large suite of computational methods developed in the field of Natural Language Processing. However, when the intention is to move beyond exploratory studies and use the results of such analyses as quantitative evidences, historians need to take into account the reliability of these techniques. The main goal of this article is to investigate the performance of different text mining methods for a specific task: the automatic identification of interdisciplinary works from a corpus of PhD dissertation abstracts. Based on the output of our study, we provide the research community of a new data set for analyzing recent changes in interdisciplinary practices in a large sample of European universities. We show the potential of this collection by tracking the growth in adoption of computational approaches across different research fields, during the past 30 years.

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Research Simone Publications
news-2059 Fri, 19 Jan 2018 12:56:24 +0000 Paper accepted for Knowledge-Based Systems https://dws.informatik.uni-mannheim.deen/news/singleview/detail/News/paper-accepted-for-knowledge-based-systems/ Together with our colleagues of the Natural Language Engineering (NLE) Lab of the University of Valencia we have a paper accepted for Knowledge-Based Systems journal (2016 Impact Factor: 4.529).

Goran Glavaš, Marc Franco-Salvador, Simone P. Ponzetto and Paolo Rosso. A resource-light method for cross-lingual semantic textual similarity. To appear in Knowledge-Based Systems. DOI: 10.1016/j.knosys.2017.11.041. A pre-print version is available here

Abstract

Recognizing semantically similar sentences or paragraphs across languages is beneficial for many tasks, ranging from cross-lingual information retrieval and plagiarism detection to machine translation. Recently proposed methods for predicting cross-lingual semantic similarity of short texts, however, make use of tools and resources (e.g., machine translation systems, syntactic parsers or named entity recognition) that for many languages (or language pairs) do not exist. In contrast, we propose an unsupervised and a very resource-light approach for measuring semantic similarity between texts in different languages. To operate in the bilingual (or multilingual) space, we project continuous word vectors (i.e., word embeddings) from one language to the vector space of the other language via the linear translation model. We then align words according to the similarity of their vectors in the bilingual embedding space and investigate different unsupervised measures of semantic similarity exploiting bilingual embeddings and word alignments. Requiring only a limited-size set of word translation pairs between the languages, the proposed approach is applicable to virtually any pair of languages for which there exists a sufficiently large corpus, required to learn monolingual word embeddings. Experimental results on three different datasets for measuring semantic textual similarity show that our simple resource-light approach reaches performance close to that of supervised and resource-intensive methods, displaying stability across different language pairs. Furthermore, we evaluate the proposed method on two extrinsic tasks, namely extraction of parallel sentences from comparable corpora and cross-lingual plagiarism detection, and show that it yields performance comparable to those of complex resource-intensive state-of-the-art models for the respective tasks.

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Research Simone Publications