Photo credit: Anna Logue

Focus Group: Natural Language Processing and Information Retrieval

(Prof. Ponzetto and Prof. Glavaš)

The NLP and IR group at DWS conducts research on methods for knowledge acquisition and natural language processing (NLP), as well as their application to support empirical research in (Computational) Social Sciences and (Digital) Humanities. In our work, we investigate a wide range of techniques for text understanding - ranging from representation learning and distributional semantics all the way through symbolic, entity-based approaches leveraging wide-coverage knowledge graphs - and apply these to a wide range of research topics such as such computational semantics, multilinguality, information retrieval and multimodal NLP, to name a few.

People

Faculty:

Staff:

Alumni:

  • Laura Dietz (now Assistant Professor at the University of New Hampshire)
  • Stefano Faralli (now Assistant Professor at Unitelma Sapienza Roma)
  • Petar Ristoski (now Researcher at IBM)
  • Michael Schuhmacher (now R&D Data and Knowledge Architect at BASF)
  • Sanja Stajner (new Senior Research Scientist at Symanto Research GmbH)
  • Lydia Weiland (now Senior specialist for Data Science und AI at DB Systel GmbH)

 *  joint project with the AI group

Projects

 

Completed

  • Juniorprofessoren­programm MWK Baden-Württemberg: Deep semantic models for high-end NLP applications
  • RiSC Programm MWK Baden-Württemberg: Vision and language understanding beyond literal meaning
  • MWFK BaWü Project: Part-Time Master Program: Data Science

Publications

  • Diete, A., Sztyler, T., Weiland, L. and Stuckenschmidt, H. (2018). Improving motion-based activity recognition with ego-centric vision. In , 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 : Athens, Greece, March 19-23, 2018 (S. 448-491). , IEEE Computer Society: Piscataway, NJ.
  • Keiper, T., Lyu, Z., Pooladzadeh, S., Xu, Y., Zhang, J., Lauscher, A. and Ponzetto, S. P. (2018). UniMa at SemEval-2018 Task 7 : semantic relation extraction and classification from scientific publications. In Apidianaki, M., The International Workshop on Semantic Evaluation - proceedings of the twelfth workshop : June 5-June 6, 2018, New Orleans, Louisiana : NAACL HLT 2018 (S. 826-830). , Association for Computational Linguistics: Stroudsburg, PA.
  • Lauscher, A., Eckert, K., Galke, L., Scherp, A., Rizvi, S. T. R., Ahmed, S., Dengel, A., Zumstein, P. and Klein, A. (2018). Linked Open Citation Database : enabling libraries to contribute to an open and interconnected citation graph. In Chen, J., Joint Conference on Digital Libraries 2018 : June 3-6, 2018 in Fort Worth, Texas : Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL) (S. 109-118). , ACM Press: New York, NY.
  • Lauscher, A., Glavaš, G. and Eckert, K. (2018). ArguminSci: a tool for analyzing argumentation and rhetorical aspects in scientific writing. In , 5th Workshop on Argument Mining at EMNLP 2018 Argmining 2018 Brussels, Belgium October 31 - November 1, 2018 : proceedings (S. tba). , Association for Computational Linguistics: Stroudsburg, PA.
  • Lauscher, A., Glavaš, G. and Ponzetto, S. P. (2018). An argument-annotated corpus of scientific publications. In , 5th Workshop on Argument Mining at EMNLP 2018 Argmining 2018 Brussels, Belgium October 31 - November 1, 2018 : proceedings (S. tba). , Association for Computational Linguistics: Stroudsburg, PA.
  • Lauscher, A., Glavaš, G., Ponzetto, S. P. and Eckert, K. (2018). Investigating the role of argumentation in the rhetorical analysis of scientific publications with neural multi-task learning models. In , 2018 Conference on Empirical Methods in Natural Language Processing : October 31-November 4, Brussels, Belgium : proceedings (S. tba). , Association for Computational Linguistics: Stroudsburg, PA.
  • Nanni, F., Glavaš, G., Ponzetto, S. P., Tonelli, S., Conti, N., Aker, A., Aprosio, A. P., Bleier, A., Carlotti, B., Gessler, T., Henrichsen, T., Hovy, D., Kahmann, C., Karan, M., Matsuo, A., Menini, S., Nguyen, D., Niekler, A., Posch, L., Vegetti, F., Waseem, Z., Whyte, T. and Yordanova, N. (2018). Findings from the hackathon on understanding euroscepticism through the lens of textual data. In Fišer, D., Proceedings of the LREC 2018 Workshop “ParlaCLARIN : LREC2018 workshop on creating and using parliamentary corpora”, 7 May 2018 – Miyazaki, Japan (S. 59-66). , LREC: Miyazaki, Japan.
  • Nanni, F., Osman, M., Cheng, Y.-R., Ponzetto, S. P. and Dietz, L. (2018). UKParl: A data set for topic detection with semantically annotated text. In Fišer, D., Proceedings of the LREC 2018 Workshop “ParlaCLARIN : LREC2018 workshop on creating and using parliamentary corpora”, 7 May 2018 – Miyazaki, Japan (S. 29-32). , LREC: Miyazaki, Japan.
  • Nanni, F., Ponzetto, S. P. and Dietz, L. (2018). Entity-aspect linking : providing fine-grained semantics of entities in context. In Chen, J., Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries : June 3-6, 2018 in Fort Worth, Texas (S. 49-58). , ACM: New York, NY.
  • Panchenko, A., Lopukhina, A., Ustalov, D., Lopukhin, K., Arefyev, N., Leontyev, A. and Loukachevitch, N. (2018). RUSSE'2018 : a shared task on word sense induction for the Russian language. In , Computational Linguistics and Intellectual Technologies : Papers from the Annual conference „Dialogue“ 2018 : 24th International Conference on Computational Linguistics and Intellectual Technologies, May 30 - June 2, 2018 Moscow (S. 547-564). Dialogue, RSUH: Moscow, Russia.
  • Panchenko, A., Ustalov, D., Faralli, S., Ponzetto, S. P. and Biemann, C. (2018). Improving hypernymy extraction with distributional semantic classes. In Calzolari, N., LREC 2018, 11th International Conference on Language Resources and Evaluation : 7-12 May 2018, Miyazaki (Japan) (S. 1541-1551). , European Language Resources Association, ELRA-ELDA: Paris.
  • Theil, C. K., Štajner, S., Stuckenschmidt, H. and Ponzetto, S. P. (2018). Automatic detection of uncertain statements in the financial domain. In Gelbukh, A., Computational Linguistics and Intelligent Text Processing : 18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part II (S. 642-654). Lecture Notes in Computer Science, Springer International Publishing: Cham.
  • Ustalov, D., Chernoskutov, M., Panchenko, A. and Biemann, C. (2018). Fighting with the sparsity of the synonymy dictionaries for automatic synset induction. In Aalst, W., Analysis of Images, Social Networks and Texts : 6th International Conference, AIST 2017, Moscow, Russia, July 27-29, 2017, Revised Selected Papers (S. 94-105). Lecture Notes in Computer Science, Springer International Publishing: Cham.
  • Ustalov, D., Panchenko, A., Biemann, C. and Ponzetto, S. P. (2018). Unsupervised sense-aware hypernymy extraction. In Barbaresi, A., Proceedings Konvens 2018 = Proceedings of the 14th Conference on Natural Language Processing : Vienna, Austria, September 19-21, 2018 (S. 192-201). , ÖGAI, Österreichische Akademie der Wissenschaften: Vienna.
  • Ustalov, D., Panchenko, A., Kutuzov, A., Biemann, C. and Ponzetto, S. P. (2018). Unsupervised semantic frame induction using triclustering. In Cohen, S., The 56th Annual Meeting of the Association for Computational Linguistics : ACL 2018 : proceedings of the conference, vol. 2 (short papers) : July 15 - 20, 2018 Melbourne, Australia (S. 55-62). , Association for Computational Linguistics: Stroudsburg, PA.
  • Ustalov, D., Teslenko, D., Panchenko, A., Chernoskutov, M., Biemann, C. and Ponzetto, S. P. (2018). An unsupervised word sense disambiguation system for under-resourced languages. In Calzolari, N., LREC 2018, 11th International Conference on Language Resources and Evaluation : 7-12 May 2018, Miyazaki (Japan) (S. 1018-1022). , European Language Resources Association, ELRA-ELDA: Paris.
  • Chernoskutov, M. and Ustalov, D. (2017). Synonymy graph connectivity in graph-based word sense induction. In Goncharov, S., 2017 SSDSE : 2017 Siberian Symposium on Data Science and Engineering (SSDSE) : Novosibirsk, Akademgorodok, Russia, 12-13 Apr 2017 (S. 14-17). , IEEE: Piscataway, NJ.
  • Cochez, M., Ristoski, P., Ponzetto, S. P. and Paulheim, H. (2017). Biased graph walks for RDF graph embeddings. In Akerkar, R., WIMS '17 Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics : Amantea, Italy, June 19 - 22, 2017 (S. Article 21). , ACM: New York, NY.
  • Cochez, M., Ristoski, P., Ponzetto, S. P. and Paulheim, H. (2017). Global RDF vector space embeddings. In d'Amato, C., The Semantic Web – ISWC 2017 : 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, proceedings, part I (S. 190-207). Lecture Notes in Computer Science, Springer: Cham.
  • Diete, A., Sztyler, T., Weiland, L. and Stuckenschmidt, H. (2017). Recognizing grabbing actions from inertial and video sensor data in a warehouse scenario. In Shakshuki, E., 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017) / 12th International Conference on Future Networks and Communications (FNC 2017) / Affiliated Workshops (S. 16-23). Procedia computer science, Elsevier: Amsterdam [u.a.].
  • Faralli, S., Panchenko, A., Biemann, C. and Ponzetto, S. P. (2017). The ContrastMedium algorithm : taxonomy induction from noisy knowledge graphs with just a few links. In Liakata, M., 15th Conference of the European Chapter of the Association for Computational Linguistics : proceedings of conference, volume 1: Long Papers (S. 590-600). , Association for Computational Linguistics: Stroudsburg, PA.
  • Gentile, A. L., Ristoski, P., Eckel, S., Ritze, D. and Paulheim, H. (2017). Entity matching on web tables: a table embeddings approach for blocking. In Markl, V., Advances in Database Technology - EDBT 2017 : 20th International Conference on Extending Database Technology, Venice, Italy, March 21–24, 2017, Proceedings (S. 510-513). , OpenProceedings: Konstanz.
  • Glavaš, G., Nanni, F. and Ponzetto, S. P. (2017). Cross-lingual classification of topics in political texts. In Hovy, D., The 55th Annual Meeting of the Association for Computational Linguistics - proceedings of the Second Workshop on Natural Language Processing and Computational Social Science : August 3, 2017, Vancouver, Canada : ACL 2017 (S. 42-46). , Association for Computational Linguistics (ACL): Stroudsburg, PA.
  • Glavaš, G., Nanni, F. and Ponzetto, S. P. (2017). Unsupervised cross-lingual scaling of political texts. In Liakata, M., 15th Conference of the European Chapter of the Association for Computational Linguistics : proceedings of conference, volume 1: Long Papers (S. 688-693). , Association for Computational Linguistics: Stroudsburg, PA.
  • Glavaš, G. and Ponzetto, S. P. (2017). Dual tensor model for detecting asymmetric lexico-semantic relations. In Palma, M., EMNLP 2017 : Conference on Empirical Methods in Natural Language Processing : conference proceedings : Copenhagen, Denmark, September 7-11, 2017 (S. 1757-1767). , Association for Computational Linguistics: Stroudsburg, PA.
  • Klein, P., Ponzetto, S. P. and Glavaš, G. (2017). Improving neural knowledge base completion with cross-lingual projections. In Liakata, M., 15th Conference of the European Chapter of the Association for Computational Linguistics : proceedings of conference, volume 1: Long Papers (S. 516-522). , Association for Computational Linguistics: Stroudsburg, PA.
  • Kopf, S., Zrianina, M., Guthier, B., Weiland, L., Schaber, P., Ponzetto, S. P. and Effelsberg, W. (2017). Enhancing bag of visual words with color information for iconic image classification. In Arabnia, H., IPCV 2016 : proceedings of the 2016 International Conference on Image Processing, Computer Vision, & Pattern Recognition : WORLDCOMP '16, July 25-28, 2016, Las Vegas, Nevada, USA (S. 206-209). , CSREA Press: Athens, GA.
  • Lauscher, A., Glavaš, G. and Eckert, K. (2017). University of Mannheim @ CLSciSumm-17: Citation-Based Summarization of Scientific Articles Using Semantic Textual Similarity. In Jaidka, K., Proceedings of the Computational Linguistics Scientific Summarization Shared Task (CL-SciSumm 2017) ... part of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL) ... (S. 33-42). CEUR Workshop Proceedings, RWTH: Aachen.
  • Lauscher, A., Glavaš, G., Ponzetto, S. P. and Eckert, K. (2017). Investigating convolutional networks and domain-specific embeddings for semantic classification of citations. In Knoth, P., WOSP 2017 : 6th International Workshop on Mining Scientific Publications : Toronto, ON, Canada, June 19, 2017 (S. 24-28). , ACM: New York, NY.
  • Lauscher, A., Nanni, F. and Ponzetto, S. P. (2017). Entitäten als Topic Labels : Verbesserung der Interpretierbarkeit und Evaluierbarkeit von Themen durch Kombinieren von Entity Linking und Topic Modeling. In Stolz, M., DHd 2017 : Digitale Nachhaltigkeit : Konferenzabstracts : Universität Bern 13. bis 18. Februar 2017 : 4. Tagung des Verbands Digital Humanities im deutschsprachigen Raum e.V. (S. 242-244). , Verband Digital Humanities im deutschsprachigen Raum e.V.: Bern.
  • Lauscher, A., Nanni, F. and Ponzetto, S. P. (2017). SLaTE: a system for labeling topics with entities. In Lewis, R., Digital Humanities 2017 : conference abstracts : McGill University & Université de Montréal, Montréal, Canada, August 8 – 11, 2017 (S. 742-743). , McGill Université ; Université de Montréal: Montréal.
  • Menini, S., Nanni, F., Ponzetto, S. P. and Tonelli, S. (2017). Topic-based agreement and disagreement in US electoral manifestos. In , Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (S. 2928-2934). , Association for Computational Linguistics: Stroudsburg, PA.
  • Nanni, F., Mitra, B., Magnusson, M. and Dietz, L. (2017). Benchmark for complex answer retrieval. In Kamps, J., ICTIR '17 : proceedings of the 3rd ACM International Conference on the Theory of Information Retrieval : October 1-4 2017, Amsterdam, Netherlands (S. 293-296). , ACM: New York, NY.
  • Nanni, F. and Paci, G. (2017). A discipline-enriched dataset for tracking the computational turn of European universities. In Knoth, P., WOSP 2017 : 6th International Workshop on Mining Scientific Publications : Toronto, ON, Canada, June 19, 2017 (S. 29-33). , ACM: New York, NY.
  • Nanni, F., Ponzetto, S. P. and Dietz, L. (2017). Building entity-centric event collections. In McDonald, R., 2017 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017, Toronto, ON, Canada, June 19-23, 2017 (S. 199-208). , IEEE Computer Soc.: Piscataway, NJ.
  • Nisioi, S., Štajner, S., Ponzetto, S. P. and Dinu, L. P. (2017). Exploring neural text simplification models. In Barzilay, R., The 55th Annual Meeting of the Association for Computational Linguistics - proceedings of the conference : July 30-August 4, 2017, Vancouver, Canada : ACL 2017 (S. 85-91). , Association for Computational Linguistics: Stroudsburg, PA.
  • Panchenko, A., Faralli, S., Ponzetto, S. P. and Biemann, C. (2017). Using linked disambiguated distributional networks for word sense disambiguation. In Camacho-Collados, J., EACL 2017 Workshop on Sense, Concept and Entity Representations and their Applications : proceedings of the workshop, April 4, 2017 Valencia, Spain (S. 72-78). , Association for Computational Linguistics: Stroudsburg, PA.
  • Panchenko, A., Marten, F., Ruppert, E., Faralli, S., Ustalov, D., Ponzetto, S. P. and Biemann, C. (2017). Unsupervised, knowledge-free, and interpretable word sense disambiguation. In Specia, L., The Conference on Empirical Methods in Natural Language Processing - proceedings of System Demonstrations : September 9-11, 2017, Copenhagen, Denmark : EMNLP 2017 (S. 91-96). , Association for Computational Linguistics: Stroudsburg, PA.
  • Panchenko, A., Ruppert, E., Faralli, S., Ponzetto, S. P. and Biemann, C. (2017). Unsupervised does not mean uninterpretable : the case for word sense induction and disambiguation. In Liakata, M., 15th Conference of the European Chapter of the Association for Computational Linguistics : proceedings of conference, volume 1: Long Papers (S. 86-98). , Association for Computational Linguistics: Stroudsburg, PA.
  • Panchenko, A., Ustalov, D., Arefyev, N., Paperno, D., Konstantinova, N., Loukachevitch, N. and Biemann, C. (2017). Human and machine judgements for Russian semantic relatedness. In Ignatov, D., Analysis of Images, Social Networks and Texts : 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers (S. 221-235). Communications in Computer and Information Science, Springer: Cham.
  • Ristoski, P., Faralli, S., Ponzetto, S. P. and Paulheim, H. (2017). Large-scale taxonomy induction using entity and word embeddings. In Sheth, A., WI 2017 : proceedings of the International Conference on Web Intelligence, Leipzig, Germany, August 23-26, 2017 (S. 81-87). , ACM: New York, NY.
  • Rovera, M., Nanni, F., Ponzetto, S. P. and Goy, A. (2017). Domain-specific named entity disambiguation in historical memoirs. In Basili, R., CLiC-it 2017 : proceedings of the Fourth Italian Conference on Computational Linguistics, Rome, Italy, December 11-13, 2017 (S. Paper 20). CEUR Workshop Proceedings, RWTH: Aachen.
  • Ustalov, D. (2017). Expanding hierarchical contexts for constructing a semantic word network. In , Computational Linguistics and Intellectual Technologies : Papers from the Annual conference „Dialogue 2017“, Moscow, May 31-June 3, 2017 (S. 369-381). Dialogue, RSUH: Moscow, Russia.
  • Ustalov, D., Arefyev, N., Biemann, C. and Panchenko, A. (2017). Negative sampling improves hypernymy extraction based on projection learning. In Lapata, M., 15th Conference of the European Chapter of the Association for Computational Linguistics : proceedings of conference : April 3-7, 2017, Valencia, Spain : EACL 2017 ; Vol. 2 : Short papers (S. 543-550). , Association for Computational Linguistics: Stroudsburg, PA.
  • Ustalov, D. and Panchenko, A. (2017). A tool for effective extraction of synsets and semantic relations from BabelNet. In Goncharov, S., 2017 SSDSE : 2017 Siberian Symposium on Data Science and Engineering (SSDSE) : Novosibirsk, Akademgorodok, Russia, 12-13 Apr 2017 (S. 10-13). , IEEE: Piscataway, NJ.
  • Ustalov, D., Panchenko, A. and Biemann, C. (2017). Watset : automatic induction of synsets from a graph of synonyms. In Barzilay, R., The 55th Annual Meeting of the Association for Computational Linguistics : proceedings of the conference : July 30-August 4, 2017, Vancouver, Canada : ACL 2017 ; Vol. 1 (Long papers) (S. 1579-1590). , Association for Computational Linguistics: Stroudsburg, PA.
  • Ustalov, D., Teslenko, D., Panchenko, A. and Chernoskutov, M. (2017). Mnogoznal : an unsupervised system for word sense disambiguation. In Rodionov, A., 2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) (S. 147-150). , IEEE: Piscataway, NJ.
  • Weiland, L., Hulpus, I., Ponzetto, S. P. and Dietz, L. (2017). Using object detection, NLP, and knowledge bases to understand the message of images. In Amsaleg, L., MultiMedia Modeling : 23rd International Conference, MMM 2017, Reykjavik, Iceland, January 4-6, 2017, Proceedings, Part II (S. 405-418). Lecture Notes in Computer Science, Springer International Publishing: Cham.
  • Štajner, S., Franco-Salvador, M., Ponzetto, S. P., Rosso, P. and Stuckenschmidt, H. (2017). Sentence alignment methods for improving text simplification systems. In Barzilay, R., The 55th Annual Meeting of the Association for Computational Linguistics - proceedings of the conference : July 30-August 4, 2017, Vancouver, Canada : ACL 2017 (S. 97-102). , Association for Computational Linguistics: Stroudsburg, PA.
  • Štajner, S., Glavaš, G., Ponzetto, S. P. and Stuckenschmidt, H. (2017). Domain adaptation for automatic detection of speculative sentences. In Kim, M., IEEE 11th International Conference on Semantic Computing ICSC 2017 : 30 January - 1 February 2017, San Diego, California : proceedings (S. 164-171). , IEEE Computer Society: Los Alamitos, CA [u.a.].
  • Štajner, S., Ponzetto, S. P. and Stuckenschmidt, H. (2017). Automatic assessment of absolute sentence complexity. In Sierra, C., Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017) : Melbourne, Australia 19-25 August 2017 (S. 4096-4102). , International Joint Conferences on Artificial Intelligence: Melbourne.
  • Braslavski, P., Ustalov, D., Mukhin, M. and Kiselev, Y. (2016). YARN : spinning-in-progress. In Barbu Mititelu, V., Proceedings of the Eighth Global WordNet Conference (GWC-16) : January 27-30, Bucharest, Romania (S. 58-65). , Global WordNet Association: Bucarest.
  • Diete, A., Sztyler, T., Weiland, L. and Stuckenschmidt, H. (2016). Exploring a multi-sensor picking process in the future warehouse. In Lukowicz, P., UbiComp/ISWC'16 Adjunct : Adjunct proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers (S. 1755-1758). , ACM: New York, NY.
  • Faralli, S., Bizer, C., Eckert, K., Meusel, R. and Ponzetto, S. P. (2016). A Web application to search a large repository of taxonomic relations from the Web. In Kawamura, T., ISWC-P&D 2016 : Proceedings of the ISWC 2016 Posters & Demonstrations Track co-located with 15th International Semantic Web Conference (ISWC 2016) Kobe, Japan, October 19, 2016 (S. Paper 58). CEUR Workshop Proceedings, RWTH: Aachen.
  • Faralli, S., Di Tommaso, G. and Velardi, P. (2016). Semantic enabled recommender system for micro-blog users. In Baeza-Yates, R., IEEE International Conference on Data Mining Workshops (ICDMW 2016) : Dec. 12 -15, 2016, Barcelona, Spain ; proceedings (S. 992-998). , IEEE Computer Society: Los Alamitos, CA [u.a.].
  • Faralli, S., Panchenko, A., Biemann, C. and Ponzetto, S. P. (2016). Linked disambiguated distributional semantic networks. In Groth, P., The Semantic Web - ISWC 2016 : 15th International Semantic Web Conference, Kobe, Japan, October 17-21, 2016, Proceedings, Part II (S. 56-64). Lecture Notes in Computer Science, Springer: Cham.
  • Faralli, S. and Ponzetto, S. P. (2016). DWS at the 2016 Open Knowledge Extraction Challenge : a hearst-like pattern-based approach to hypernym extraction and class induction. In Sack, H., Semantic Web Challenges : Third SemWebEval Challenge at ESWC 2016, Heraklion, Crete, Greece, May 29 - June 2, 2016, Revised Selected Papers (S. 48-60). Communications in Computer and Information Science, Springer International Publishing: Cham.
  • Gassen, J. B., Faralli, S., Ponzetto, S. P. and Mendling, J. (2016). Who-Does-What: a knowledge base of people's occupations and job activities. In Kawamura, T., ISWC-P&D 2016 : Proceedings of the ISWC 2016 Posters & Demonstrations Track co-located with 15th International Semantic Web Conference (ISWC 2016) Kobe, Japan, October 19, 2016 (S. Paper 65). CEUR Workshop Proceedings, RWTH: Aachen.
  • Glavaš, G., Nanni, F. and Ponzetto, S. P. (2016). Unsupervised text segmentation using semantic relatedness graphs. In Gardent, C., *SEM 2016: The Fifth Joint Conference on Lexical and Computational Semantics : proceedings of the conference ; August 11-12 2016, Berlin, Germany (S. 125-130). , Association for Computational Linguistics: Stroudsburg, Pa..
  • Kiselev, Y., Ustalov, D. and Porshnev, S. (2016). Eliminating fuzzy duplicates in crowdsourced lexical resources. In Barbu Mititelu, V., Proceedings of the Eighth Global WordNet Conference (GWC-16) : January 27-30, Bucharest, Romania (S. 161-167). , Global WordNet Association: Bucarest.
  • Nanni, F., Ponzetto, S. P. and Dietz, L. (2016). Entity relatedness for retrospective analyses of global events. In , NLP+CSS workshop at Web Science 2016 : May 22, 2016, Hannover, Germany (S. 1-5). , ACM: New York, NY.
  • Nanni, F. and Ruiz Fabo, P. (2016). Entities as topic labels : improving topic interpretability and evaluability combining Entity Linking and Labeled LDA. In Nanni, F., Digital Humanities 2016 Conference Abstracts (S. 632-635). , Jagiellonian University & Pedagogical University: Kraków.
  • Nanni, F., Zirn, C., Glavaš, G., Eichorst, J. and Ponzetto, S. P. (2016). TopFish: topic-based analysis of political position in US electoral campaigns. In Širinić, D., PolText 2016 : The International Conference on the Advances in Computational Analysis of Political Text : proceedings of the conference : sponsored by the European Social Fund, Operational Programme Efficient Human Resources 2014–2020 (S. 61-67). , University of Zagreb: Zagreb.
  • Panchenko, A., Faralli, S., Ruppert, E., Remus, S., Naets, H., Fairon, C., Ponzetto, S. P. and Biemann, C. (2016). TAXI at SemEval-2016 Task 13: a taxonomy induction method based on lexico-syntactic patterns, substrings and focused crawling. In Bethard, S., The 10th International Workshop on Semantic Evaluation : Proceedings of the Workshop : Sem-Eval-2016 : June 16-17, 2016, San Diego, California, USA (S. 1196-1203). , Association for Computational Linguistics: Stroudsburg, Pa..
  • Ristoski, P. and Mika, P. (2016). Enriching product ads with Metadata from HTML annotations. In Sack, H., The Semantic Web. Latest Advances and New Domains : 13th International Conference, ESWC 2016, Heraklion, Crete, Greece, May 29 - June 2, 2016, Proceedings (S. 151-167). Lecture Notes in Computer Science, Springer: Cham.
  • Ristoski, P. and Paulheim, H. (2016). Analyzing statistics with background knowledge from Linked Open Data. In Capadisli, S., SemStats 2013 : Proceedings of the 1st International Workshop on Semantic Statistics co-located with 13th International Semantic Web Conference (ISWC 2013), Sydney, Australia, October 11th, 2013 (S. Article 12). CEUR Workshop Proceedings, RWTH: Aachen.
  • Ristoski, P. and Paulheim, H. (2016). RDF2Vec: RDF graph embeddings for data mining. In Groth, P., The Semantic Web - ISWC 2016 : 15th International Semantic Web Conference, Kobe, Japan, October 17-21, 2016, Proceedings, Part I (S. 498-514). Lecture Notes in Computer Science, Springer International Publishing: Cham.
  • Ristoski, P., Paulheim, H., Svatek, V. and Zeman, V. (2016). The Linked Data Mining Challenge 2016. In Paulheim, H., Know@LOD&CoDeS 2016 : Joint Proceedings of the 5th Workshop on Data Mining and Knowledge Discovery meets Linked Open Data and 1st International Workshop on Completing and Debugging the Semantic Web ...with 13th ESWC 2016, Heraklion, Greece, May 30th 2016 (S. 1-8). CEUR Workshop Proceedings, RWTH: Aachen.
  • Ristoski, P., de Vries, G. and Paulheim, H. (2016). A collection of benchmark datasets for systematic evaluations of machine learning on the Semantic Web. In Groth, P., The Semantic Web - ISWC 2016 : 15th International Semantic Web Conference, Kobe, Japan, October 17-21, 2016, Proceedings, Part II (S. 186-194). Lecture Notes in Computer Science, Springer: Cham.
  • Rosati, J., Ristoski, P., Di Noia, T., de Leone, R. and Paulheim, H. (2016). RDF graph embeddings for content-based recommender systems. In Bogers, T., CBRecSys 2016 : Proceedings of the 3rd Workshop on New Trends in Content-Based Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016) Boston, MA, USA, September 16, 2016 (S. 23-30). CEUR Workshop Proceedings, RWTH: Aachen.
  • Schuhmacher, M., Roth, B., Ponzetto, S. P. and Dietz, L. (2016). Finding relevant relations in relevant documents. In Ferro, N., Advances in Information Retrieval : 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings (S. 654-660). Lecture Notes in Computer Science, Springer: Cham.
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