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Prof. Dr. Udo Kruschwitz

Areas of work

01 | Research Interests

Natural Language Processing (NLP) and Information Retrieval (IR)

My main research interests are in natural language processing, information retrieval and the implementation of such techniques in real applications. The intelligent directory enquiry assistant (YPA) project is a very early example where the extraction of information from partially structured data together with engineering issues played major roles in making the YPA a usable online system.

Dialogue Systems, Gamification, privacy and ethical issues in IR are further research topics I investigate.

Bringing Industry and Academia Together

I have furthermore been involved in successful joint university/industry projects that turned NLP and IR research into practical commercial applications, for example as PI on a Knowledge Transfer Partnership (KTP) project with Signal Media. The collaboration won the Best Knowledge Transfer Partnership Project of the Year Award at InnovateUK's 'Best of the Best 2015' event, and another KTP project with Signal Media has just started. I have a keen interest in bringing industry and academia closer together and have (co-)organised a variety of events such as Industry Days at top IR conferences, e.g. the ECIR 2019 Industry Day, and I am part of the organising team of the Search Solutions event held annually at the British Computer Society's London HQ.

In Regensburg I established the Data Science @ Regensburg Meetup which regularly features speakers from industry and academia, both local and international presenters. Come and join us!



02 | Projects

02.1 | Current Projects

 

Logo Vw-stiftung

COURAGE

COURAGE is funded by the Volkswagen Foundation and aims at a virtual companion that guides teenagers in the use of social networks. The virtual companion will increase awareness of the potential threats to which young people are exposed in social networks.

 

Signal Logo

SIGNAL Collaboration

A highly successful Knowledge Transfer Partnership (KTP) project (2013-2015) was the starting point for an ongoing collaboration with Signal Media. As the University Lead PI I am pleased that Miguel Martinez-Alvarez who joined us as KTP Associate is now Head of Research at Signal. Currently, I act as a senior academic adviser.
 

Here is a timeline of some exciting news in our collaboration:

November 2014: Miguel is named a Business Leader of Tomorrow (here is a short video portrait of Miguel ... and more coverage of the event / main actors here).

April 2015: Best demo award at ECIR 2015 for Signal demo, and even more exciting: Signal has just announced that it has raised $1.8m growth capital from top tier investors (see Techcrunch).

November 2015: Signal project wins Best KTP Partnership Award 2015.

February 2016: Project features on InnovateUK's home page again.

Another landmark: Signal closes a $16m Series B funding round.

December 2018: new KTP project confirmed, to start in January 2019.

 

Phrase Detectives

DALI

The project "Creating anaphorically annotated resources through semantic wikis (AnaWiki) (EPSRC)" has led to the development of Phrase Detectives, an annotation game aimed at the creation of semantically annotated corpora.

The DALI ERC project builds on the findings and lessons learned in PhraseDetectives.

02.2 | Recent Projects

 

Hrbdt Logo

HRBDT

A five-year ESRC Large Grant on Human Rights in the Era of Big Data is now well underway.

The Language and Computation Group at the University of Essex plays a significant role in this project which also builds on our links with the Minority Rights Group.

 

Minority-rights-group Logo

KTP MRG

A three-year Knowledge Transfer Partnership (KTP) project (2014-2017) involving the Minority Rights Group and Essex aimed at new systems to support civilian-led monitoring of human-rights violations. The Iraq Ceasefire Portal is one of the major outcomes of the project.

The Corpus of Violence Acts in Arabic Social Media is an academic resource, described in more detail in our LREC 2016 paper.

 

Logo Sensei

SENSEI

Conversational interaction is the most natural and persistent paradigm for business relations with customers. In contact centres millions of calls are handled daily. On social media platforms millions of blog posts are exchanged amongst users.
Can we make sense of such conversations and help create assets and value for private and public organizations’ decision makers? And indeed for anyone interested in conversational content?

The overall goals of the Horizon 2020 project "Making Sense of Human-Human Conversation Data (SENSEI)" are twofold. First, SENSEI will develop summarization/analytics technology to help users make sense of human conversation streams from diverse media channels. Second, SENSEI will design and evaluate its summarization technology in real-world environments, aiming to improve task performance and productivity of end-users.

(Text from the SENSEI project website)



03 | Teaching

Advanced Seminar Information Science

Summer 2020


Advanced Topics in Information Retrieval

Summer 2020


Introduction to Information Retrieval

Summer 2020


Introduction to Information Science

Winter 2019/20


Introduction to Natural Language Engineering I

Winter 2019/20


Introduction to Natural Language Engineering II

Summer 2020


Natural Language Engineering

Winter 2019/20


Research Seminar IR

Winter 2019/20


CV

Udo Kruschwitz is the Chair of Information Science at the University of Regensburg as of July 2019. Prior to that he was a professor in the School of Computer Science and Electronic Engineering at the University of Essex.

His main research interest is the interface between information retrieval (IR) and natural language processing (NLP). He has led research projects developing algorithms to turn unstructured and partially structured textual data into structured knowledge and user/cohort models that have been applied in a variety of applications including search, navigation and summarisation.


publications

Selected Journal Articles

Alhelbawy, A., Lattimer, M., Kruschwitz, U., Fox, C., and Poesio, M., (2020). An NLP-Powered Human Rights Monitoring Platform. Expert Syst. Appl. 153: 113365

Chamberlain, J., Kruschwitz, U. and Poesio, M., (2018). Optimising crowdsourcing efficiency: Amplifying human computation with validation. it - Information Technology. 60 (1), 41-49

Paun, S., Carpenter, B., Chamberlain, JD., Hovy, D., Kruschwitz, U. and Poesio, M., (2018). Comparing Bayesian Models of Annotation. Transactions of the Association for Computational Linguistics. 6 (2018), 571-585

Song, D., Shi, Y., Zhang, P., Huang, Q., Kruschwitz, U., Hou, Y. and Wang, B., (2015). Incorporating Intra-Query Term Dependencies in an Aspect Query Language Model. Computational Intelligence. 31 (4), 699-720

El-Haj, M., Kruschwitz, U. and Fox, C., (2015). Creating language resources for under-resourced languages: methodologies, and experiments with Arabic. Language Resources and Evaluation. 49 (3), 549-580

Alhindi, A., Kruschwitz, U., Fox, C. and Albakour, M-D., (2015). Profile-Based Summarisation for Web Site Navigation. ACM Transactions on Information Systems. 33 (1), 1-39

Althobaiti, M., Kruschwitz, U. and Poesio, M., (2015). Combining Minimally-supervised Methods for Arabic Named Entity Recognition.. Transactions of the Association for Computational Linguistics. 3 (2015), 243-256

Kruschwitz, U., Lungley, D., Albakour, M-D. and Song, D., (2013). Deriving query suggestions for site search. Journal of the American Society for Information Science and Technology. 64 (10), 1975-1994

Poesio, M., Chamberlain, J., Kruschwitz, U., Robaldo, L. and Ducceschi, L., (2013). Phrase detectives: Utilizing collective intelligence for internet-scale language resource creation. ACM Transactions on Interactive Intelligent Systems. 3 (1), 1-44

Clark, M., Kim, Y., Kruschwitz, U., Song, D., Albakour, D., Dignum, S., Beresi, UC., Fasli, M. and De Roeck, A., (2012). Automatically structuring domain knowledge from text: An overview of current research. Information Processing & Management. 48 (3), 552-568

Kruschwitz, U., Musgrave, S., O'Neill, D., Gekas, J. and Mann, H., (2006). Integrating data for learning disabilities service providers: Are the barriers and solutions technical or organisational?. Informatics in Primary Care. 14 (3), 175-181

Kruschwitz, U. and Al-Bakour, H., (2005). Users want more sophisticated search assistants: Results of a task-based evaluation. Journal of the American Society for Information Science and Technology. 56 (13), 1377-1393

Kruschwitz, U., (2003). An adaptable search system for collections of partially structured documents. IEEE Intelligent Systems. 18 (4), 44-52

De Roeck, A., Kruschwitz, U., Neal, P., Scott, P., Steel, S., Turner, R. and Webb, N., (1998). YPA - An intelligent directory enquiry assistant. BT Technology Journal. 16 (3), 145-154


Books

Kruschwitz, U. and Hull, C., (2017). Searching the Enterprise. Now Publishers. 978-1-68083-304-1

Kruschwitz, U., (2005). Intelligent Document Retrieval - Exploiting Markup Structure. Springer. 978-1-4020-3767-2


Selected Book Chapters

Poesio, M., Chamberlain, J., & Kruschwitz, U. (2017). Crowdsourcing. In Handbook of Linguistic Annotation (pp. 277-295). Springer, Dordrecht.

Poesio, M., Chamberlain, J., & Kruschwitz, U. (2017). Phrase Detectives. In Handbook of Linguistic Annotation (pp. 1149-1176). Springer, Dordrecht.

Albakour, D., Ducatel, G. and Kruschwitz, U., (2013). The Role of Search for Field Force Knowledge Management. In: Transforming Field and Service Operations. Editors: . Springer Berlin Heidelberg. 117- 132. 9783642449697

Chamberlain, J., Kruschwitz, U. and Poesio, M., (2013). Methods for Engaging and Evaluating Users of Human Computation Systems. In: Handbook of Human Computation. Editors: . Springer New York. 679- 694. 9781461488057

Chamberlain, J., Fort, K., Kruschwitz, U., Lafourcade, M. and Poesio, M., (2013). Using Games to Create Language Resources: Successes and Limitations of the Approach. In: The People's Web Meets NLP : Collaboratively Constructed Language Resources. Editors: Gurevych, I. and Kim, J., . Springer. 3- 44. 9783642350849

Poesio, M., Diewald, N., Stührenberg, M., Chamberlain, J., Jettka, D., Goecke, D. and Kruschwitz, U., (2011). Markup Infrastructure for the Anaphoric Bank: Supporting Web Collaboration. In: Modeling, Learning, and Processing of Text Technological Data Structures. Editors: . Springer Berlin Heidelberg. 175- 195. 9783642226120

Fox, CJ., El-Haj, M. and Kruschwitz, U., (2011). Experimenting with Automatic Text Summarization for Arabic. In: Human Language Technology. Editors: Vetulani, Z., . Springer

Kruschwitz, U., Albakour, M. D., Niu, J., Leveling, J., Nanas, N., Kim, Y., Song, D., Fasli, M. & De Roeck, A. (2009). Moving towards adaptive search in digital libraries. In Advanced Language Technologies for Digital Libraries (pp. 41-60). Springer, Berlin, Heidelberg.

Kruschwitz, U., Webb, N. and Sutcliffe, R., (2008). Query Log Analysis for Adaptive Dialogue-Driven Search. In: Handbook of Research on Web Log Analysis. IGI Global. 389- 414. 9781599049748

De Roeck, A., Kruschwitz, U., Scott, P., Steel, S., Turner, R., & Webb, N. (2000). The YPA – An Assistant for Classified Directory Enquiries. In Intelligent Systems and Soft Computing (pp. 239-258). Springer, Berlin, Heidelberg.


Selected Conference Papers

2020:

Zimmerman, S., Thorpe, A., Chamberlain, J., & Kruschwitz, U. (2020, March). Towards Search Strategies for Better Privacy and Information. In Proceedings of the 2020 Conference on Human Information Interaction and Retrieval (pp. 124-134). ACM.

Chamberlain, J., Kruschwitz, U., & Poesio, M., (2020, May). Speaking Outside the Box: Exploring the Benefits of Unconstrained Input in Crowdsourcing and Citizen Science Platforms. In Proceedings of the LREC 2020 Workshop on "Citizen Linguistics in Language Resource Development" (pp. 26-34). ACL.

2019:

Madge, C., Bartle, R., Chamberlain, J., Kruschwitz, U., & Poesio, M. (2019, October). Incremental Game Mechanics Applied to Text Annotation. In Proceedings of the Annual Symposium on Computer-Human Interaction in Play (pp. 545-558). ACM.

Madge, C., Bartle, R., Chamberlain, J., Kruschwitz, U., & Poesio, M. (2019, August). Making text annotation fun with a clicker game. In Proceedings of the 14th International Conference in the Foundations of Digital Games (pp. 1-6). ACM.

Madge, C., Bartle, R., Chamberlain, J., Kruschwitz, U., & Poseio, M. (2019, August). The Design Of A Clicker Game for Text Labelling. In 2019 IEEE Conference on Games (CoG) (pp. 1-4). IEEE.

Madge, C., Yu, J., Chamberlain, J., Kruschwitz, U., Paun, S., & Poesio, M. (2019, July). Crowdsourcing and Aggregating Nested Markable Annotations. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp. 797-807). ACL.

Zimmerman, S., Thorpe, A., Fox, C., & Kruschwitz, U. (2019, July). Investigating the Interplay Between Searchers' Privacy Concerns and Their Search Behavior. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 953-956). ACM.

Poesio, M., Chamberlain, J., Paun, S., Yu, J., Uma, A., & Kruschwitz, U. (2019, June). A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) (pp. 1778-1789). Association for Computational Linguistics, Minneapolis, Minnesota.

Russell-Rose, T., Chamberlain, J., & Kruschwitz, U. (2019, April). Rethinking ‘Advanced Search’: A New Approach to Complex Query Formulation. In European Conference on Information Retrieval (pp. 236-240). Springer, Cham.

Fisher, M., Albakour, D., Kruschwitz, U., & Martinez, M. (2019, April). Recognising Summary Articles. In European Conference on Information Retrieval (pp. 69-85). Springer, Cham.

Zimmerman, S., Thorpe, A., Fox, C., & Kruschwitz, U. (2019, March). Privacy Nudging in Search: Investigating Potential Impacts. In Proceedings of the 2019 Conference on Human Information Interaction and Retrieval (pp. 283-287). ACM.

Elsholz, E., Chamberlain, J., & Kruschwitz, U. (2019, March). Exploring Language Style in Chatbots to Increase Perceived Product Value and User Engagement. In Proceedings of the 2019 Conference on Human Information Interaction and Retrieval (pp. 301-305). ACM.

2018:

Chamberlain, J., Kruschwitz, U., & Hoeber, O. (2018). Scalable visualisation of sentiment and stance. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018).

Zimmerman, S., Kruschwitz, U., & Fox, C. (2018). Improving Hate Speech Detection with Deep Learning Ensembles. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018).

Verberne, S., He, J., Kruschwitz, U., Larsen, B., Russell-Rose, T., & De Vries, A. P. (2018, June). First International Workshop on Professional Search (ProfS2018). In SIGIR (pp. 1431-1434).

Paun, S., Chamberlain, J., Kruschwitz, U., Yu, J., & Poesio, M. (2018). A Probabilistic Annotation Model for Crowdsourcing Coreference. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (pp. 1926-1937).

2017:

Vu, T., Willis, A., Kruschwitz, U., & Song, D. (2017, March). Personalised query suggestion for intranet search with temporal user profiling. In Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval (pp. 265-268). ACM.

Madge, C., Chamberlain, J., Kruschwitz, U., & Poesio, M. (2017, October). Experiment-driven development of a gwap for marking segments in text. In Extended Abstracts Publication of the Annual Symposium on Computer-Human Interaction in Play (pp. 397-404). ACM.

Zimmerman, S., & Kruschwitz, U. (2017, September). Speaking of the weather: Detection of meteorological influences on sentiment within social media. In 2017 9th Computer Science and Electronic Engineering (CEEC) (pp. 1-6). IEEE.

Ratcliffe, D. S., Devlin, S., Kruschwitz, U., & Citi, L. (2017, March). Clyde: A deep reinforcement learning DOOM playing agent. In Workshops at the Thirty-First AAAI Conference on Artificial Intelligence.

2016:

Meder, M., Hopfgartner, F., Kazai, G., & Kruschwitz, U. (2016, July). Third international workshop on gamification for information retrieval (GamifIR'16). In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval (pp. 1239-1240). ACM.

Riccardi, G., Bechet, F., Danieli, M., Favre, B., Gaizauskas, R., Kruschwitz, U., & Poesio, M. (2015, November). The sensei project: Making sense of human conversations. In International Workshop on Future and Emerging Trends in Language Technology (pp. 10-33). Springer, Cham.

Alvarez, M. M., Kruschwitz, U., Kazai, G., Hopfgartner, F., Corney, D., Campos, R., & Albakour, D. (2016). Proceedings of the First International Workshop on Recent Trends in News Information Retrieval co-located with 38th European Conference on Information Retrieval (ECIR 2016), Padua, Italy, March 20, 2016.

Poesio, M., Alhelbawy, A., Fox, C., & Kruschwitz, U. Exploiting Social Media to Address Fundamental Human Rights Issues.

Martinez-Alvarez, M., Kruschwitz, U., Kazai, G., Hopfgartner, F., Corney, D., Campos, R., & Albakour, D. (2016, March). First international workshop on recent trends in news information retrieval (NewsIR’16). In European Conference on Information Retrieval (pp. 878-882). Springer, Cham.

Kabadjov, M. A., Kruschwitz, U., Poesio, M., Steinberger, J., Poch, M., & Zaragoza, H. (2016). The OnForumS corpus from the Shared Task on Online Forum Summarisation at MultiLing 2015. In LREC.

Chamberlain, J., Poesio, M., & Kruschwitz, U. (2016, May). Phrase Detectives Corpus 1.0 Crowdsourced Anaphoric Coreference. In LREC.

Alhelbawy, A., Massimo, P., & Kruschwitz, U. (2016, May). Towards a corpus of violence acts in arabic social media. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) (pp. 1627-1631).

2015:

Giannakopoulos, G., Kubina, J., Conroy, J., Steinberger, J., Favre, B., Kabadjov, M., ... & Poesio, M. (2015). Multiling 2015: multilingual summarization of single and multi-documents, on-line fora, and call-center conversations. In Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue (pp. 270-274).

Hopfgartner, F., Kazai, G., Kruschwitz, U., Meder, M., & Shovman, M. (2015, March). Second international workshop on gamification for information retrieval (gamifir’15). In European Conference on Information Retrieval (pp. 838-840). Springer, Cham.

Alarfaj, F., Kruschwitz, U., & Fox, C. (2015, April). Experiments with query expansion for entity finding. In International Conference on Intelligent Text Processing and Computational Linguistics (pp. 417-426). Springer, Cham.

Achievement-icon Martinez-Alvarez, M., Kruschwitz, U., Hall, W., & Poesio, M. (2015, March). Signal: Advanced real-time information filtering. In European Conference on Information Retrieval (pp. 793-796). Springer, Cham. (“Best Demo Paper Award” Winner)

Hopfgartner, F., Kazai, G., Kruschwitz, U., Meder, M., & Shovman, M. (2015, March). Second international workshop on gamification for information retrieval (gamifir’15). In European Conference on Information Retrieval (pp. 838-840). Springer, Cham.

2014:

Kruschwitz, U., Hopfgartner, F., & Gurrin, C. (2014). Beyond Single-shot Text Queries: Bridging the Gap (s) between Research Communities (MindTheGap'14). iConference 2014 Proceedings.

Alarfaj, F., Kruschwitz, U., & Fox, C. (2014, April). Exploring adaptive window sizes for entity retrieval. In European Conference on Information Retrieval (pp. 573-578). Springer, Cham.

Hopfgartner, F., Kazai, G., Kruschwitz, U., & Meder, M. (2014, April). Workshop on Gamification for Information Retrieval (GamifIR’14). In European Conference on Information Retrieval (pp. 806-809). Springer, Cham.

Alghamdi, A., Bonin, F., Ekbal, A., Saha, S., Cavulli, F., Tonelli, S., ... & Kruschwitz, U. (2014). Active Expert Learning for the Digital Humanities.

Althobaiti, M., Kruschwitz, U., & Poesio, M. (2014). AraNLP: A Java-based library for the processing of Arabic text.

Althobaiti, M., Kruschwitz, U., & Poesio, M. (2014). Automatic creation of arabic named entity annotated corpus using wikipedia. In Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics (pp. 106-115).

2013:

Alhindi, A., Kruschwitz, U., & Fox, C. (2013). Site Search Using Profile-Based Document Summarisation. In DIR (pp. 62-63).

Alarfaj, F., Kruschwitz, U., & Fox, C. (2013). An Adaptive Window-Size Approach for Expert-Finding. In DIR (pp. 4-7).

Song, D., Shi, Y., Zhang, P., Hou, Y., Hu, B., Jia, Y., ... & Bruza, P. (2013, December). Optimization of an integrated model for automatic reduction and expansion of long queries. In Asia Information Retrieval Symposium (pp. 133-144). Springer, Berlin, Heidelberg.

Althobaiti, M., Kruschwitz, U., & Poesio, M. (2013). A semi-supervised learning approach to arabic named entity recognition.

Saad, S. Z., & Kruschwitz, U. (2013, March). Exploiting click logs for adaptive intranet navigation. In European Conference on Information Retrieval (pp. 792-795). Springer, Berlin, Heidelberg.

Alhindi, A., Kruschwitz, U., & Fox, C. (2013, March). A pilot study on using profile-based summarisation for interactive search assistance. In European Conference on Information Retrieval (pp. 672-675). Springer, Berlin, Heidelberg.

2012:

Althobaiti, M., Kruschwitz, U., & Poesio, M. (2012, September). Identifying named entities on a university intranet. In 2012 4th Computer Science and Electronic Engineering Conference (CEEC) (pp. 94-99). IEEE.

Adeyanju, I. A., Song, D., Albakour, M., Kruschwitz, U., De Roeck, A., & Fasli, M. (2012, August). Adaptation of the concept hierarchy model with search logs for query recommendation on intranets. In Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval (pp. 5-14). ACM.

Adeyanju, I. A., Song, D., Albakour, M., Kruschwitz, U., De Roeck, A., & Fasli, M. (2012, April). Learning from users' querying experience on intranets. In Proceedings of the 21st International Conference on World Wide Web (pp. 755-764). ACM.

Albakour, M. D., Kruschwitz, U., Nanas, N., Adeyanju, I., Song, D., Fasli, M., & De Roeck, A. (2012, April). Analysis of query reformulations in a search engine of a local web site. In European Conference on Information Retrieval (pp. 517-521). Springer, Berlin, Heidelberg.

Lungley, D., Kruschwitz, U., & Song, D. (2012, April). Learning adaptive domain models from click data to bootstrap interactive web search. In European Conference on Information Retrieval (pp. 527-530). Springer, Berlin, Heidelberg.

Damljanovic, D., Kruschwitz, U., Albakour, M. D., Petrak, J., & Lupu, M. (2012). Applying Random Indexing to Structured Data to Find Contextually Similar Words. In LREC (pp. 2023-2030).

Aker, A., El-Haj, M., Albakour, M. D., & Kruschwitz, U. (2012). Assessing Crowdsourcing Quality through Objective Tasks. In LREC (pp. 1456-1461).

2011:

El-Haj, M., Kruschwitz, U., & Fox, C. (2010). Using Mechanical Turk to create a corpus of Arabic summaries.

Albakour, M. D., & Kruschwitz, U. (2011). University of Essex at LogCLEF 2011: Studying Query Refinement. In CLEF (Notebook Papers/Labs/Workshop).

Albakour, M. D., Lungley, D., & Kruschwitz, U. (2011). An adaptive search framework for intranets. In LWA (pp. 219-220).

Adeyanju, I., Nardini, F. M., Albakour, M. D., Song, D., & Kruschwitz, U. (2011). Rgu-isti-essex at trec 2011 session track.

Adeyanju, I., Nardini, F. M., Albakour, M. D., Song, D., & Kruschwitz, U. (2011). Rgu-isti-essex at trec 2011 session track.

Albakour, M. D., Kruschwitz, U., Adeyanju, I., Song, D., Fasli, M., & De Roeck, A. (2011, December). Enriching query flow graphs with click information. In Asia Information Retrieval Symposium (pp. 193-204). Springer, Berlin, Heidelberg.

El-Haj, M., Kruschwitz, U., & Fox, C. (2011, December). Exploring clustering for multi-document arabic summarisation. In Asia Information Retrieval Symposium (pp. 550-561). Springer, Berlin, Heidelberg.

Damljanovic, D., Kruschwitz, U., & Albakour, M. (2011, October). Using virtual documents to move information retrieval and knowledge management closer together. In Proceedings of the fourth workshop on Exploiting semantic annotations in information retrieval (pp. 3-4). ACM.

El-Haj, M., Kruschwitz, U., & Fox, C. (2011, July). Multi-document Arabic text summarisation. In 2011 3rd Computer Science and Electronic Engineering Conference (CEEC) (pp. 40-44). IEEE.

Adindla, S., & Kruschwitz, U. (2011, August). Combining the Best of Two Worlds: NLP and IR for Intranet Search. In Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology-Volume 01 (pp. 483-488). IEEE Computer Society.

Saad, S. Z., & Kruschwitz, U. (2011, June). Applying web usage mining for adaptive intranet navigation. In Information Retrieval Facility Conference (pp. 118-133). Springer, Berlin, Heidelberg.

Robaldo, L., Poesio, M., Ducceschi, L., Chamberlain, J., & Kruschwitz, U. (2011, September). Italian anaphoric annotation with the Phrase Detectives game-with-a-purpose. In Congress of the Italian Association for Artificial Intelligence (pp. 407-412). Springer, Berlin, Heidelberg.

Kruschwitz, U., Albakour, M. D., Niu, J., Leveling, J., Nanas, N., Kim, Y., ... & De Roeck, A. (2009). Moving towards adaptive search in digital libraries. In Advanced Language Technologies for Digital Libraries (pp. 41-60). Springer, Berlin, Heidelberg.

Albakour, M. D., Kruschwitz, U., Nanas, N., Song, D., Fasli, M., & De Roeck, A. (2011, September). Exploring ant colony optimisation for adaptive interactive search. In Conference on the Theory of Information Retrieval (pp. 213-224). Springer, Berlin, Heidelberg.

Albakour, M. D., Kruschwitz, U., Nanas, N., Kim, Y., Song, D., Fasli, M., & De Roeck, A. (2011, April). Autoeval: An evaluation methodology for evaluating query suggestions using query logs. In European Conference on Information Retrieval (pp. 605-610). Springer, Berlin, Heidelberg.

El-Haj, M., Kruschwitz, U., & Fox, C. (2011). University of Essex at the TAC 2011 multilingual summarisation pilot.

2010:

Albakour, M. D., Kruschwitz, U., Niu, J., & Fasli, M. (2011). University of Essex at the TREC 2010 Session Track. In TREC.

Albakour, M. D., Kruschwitz, U., & Lucas, S. (2010, May). Sentence-level attachment prediction. In Information Retrieval Facility Conference (pp. 6-19). Springer, Berlin, Heidelberg.

Dignum, S., Kruschwitz, U., Fasli, M., Kim, Y., Song, D., Beresi, U. C., & De Roeck, A. (2010, August). Incorporating seasonality into search suggestions derived from intranet query logs. In 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (Vol. 1, pp. 425-430). IEEE.

2009:

El-Haj, M., Kruschwitz, U., & Fox, C. (2009, November). Experimenting with automatic text summarisation for arabic. In Language and Technology Conference (pp. 490-499). Springer, Berlin, Heidelberg.

Lungley, D., & Kruschwitz, U. (2009, April). Automatically maintained domain knowledge: Initial findings. In European Conference on Information Retrieval (pp. 739-743). Springer, Berlin, Heidelberg.

Chamberlain, J., Kruschwitz, U., & Poesio, M. (2009, August). Constructing an anaphorically annotated corpus with non-experts: Assessing the quality of collaborative annotations. In Proceedings of the 2009 workshop on the people's web meets NLP: Collaboratively constructed semantic resources (pp. 57-62). Association for Computational Linguistics.

2008:

Bailey, C., Kruschwitz, U., & Gardner, M. (2008). The unified profile: applying user profile data within intelligent environments.

Poesio, M., Kruschwitz, U., & Chamberlain, J. (2008). ANAWIKI: Creating Anaphorically Annotated Resources through Web Cooperation. In LREC.

Chamberlain, J., Poesio, M., & Kruschwitz, U. (2008, September). Addressing the resource bottleneck to create large-scale annotated texts. In Proceedings of the 2008 conference on semantics in text processing (pp. 375-380). Association for Computational Linguistics.

2006:

Sutcliffe, R. F., Steinberger, J., Kruschwitz, U., Alexandrov-Kabadjov, M., & Poesio, M. (2006, September). Identifying novel information using latent semantic analysis in the WiQA task at CLEF 2006. In Workshop of the Cross-Language Evaluation Forum for European Languages (pp. 541-549). Springer, Berlin, Heidelberg.


sci. activities

Memberships

Logo Bcs Irsg

(Vice Chair)

Logo Sigir Logo Acm Logo Asis T

Member of the Language and Computation Group (LAC) at the Universty of Essex


Services to the Community


PhD Student (Co-)Supervisions


Grants

Grants and Funding

2019 - 2023

Volkswagen Stiftung

COURAGE: A Social Media Companion Safeguarding and Educating Students

2019 - 2020

Innovate UK (KTP with SIGNAL)

Develop insight extraction and visualisation techniques to convert a stream of unstructured textual documents.

2014 - 2017

Innovate UK (KTP with Minority Rights Group International)

To Design & Implement New Systems to Support Civilian-Led Monitoring of Human Rights Violations

2013 - 2015

Innovate UK (KTP with SIGNAL)

To build a scalable technology architecture that will enable automatic information provision

European Commission (Horizon 2020 Project)

Making Sense of Human-Human Conversation Data (SENSEI)

British Telecommunications Plc (Case Studentship)

Pattern Discovery in Big Data streams - BT/EPSRC - CASE Studentship - Silviu Paun

2008 - 2011

Engineering & Physical Sciences Res.Council (EPSRC)

AutoAdapt (Automatic Adaptation of Knowledge Structures for Assisted Information Seeking)

2008

Innovate UK (KTP with Active Web Solutions)

To Develop An Intelligent Mail Server



  1. Homepage UR

Information Science


Prof. Dr.

Udo Kruschwitz

Udo Kruschwitz

Building PT, Room 3.0.84a
Phone +49941 943-3586
E-Mail

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