Prof. Dr. Udo Kruschwitz - Universit?t Regensburg_百利宫

Arbeitsgebiete

01 | Forschungsinteresse

Maschinelle Sprachverarbeitung und Informationsabruf

Mein Forschungsinteresse liegt in der Schnittstelle zwischen Information Retrieval (IR) und Natural Language Processing (NLP). 百利宫_百利宫娱乐平台￥官网e Schwerpunkte behandeln das computergestützte Abrufen von Informationen und komplexen Inhalten, die maschinelle Verarbeitung der natürlichen Sprache sowie die Implementierung solcher Techniken in reale Anwendungen. Bei dem Projekt Intelligent Directory Request Assistant (YPA) spielt die Extraktion von Informationen aus teilsstrukturierten Daten zusammen mit technischen Problemen eine wichtige Rolle, um YPA zu einem nutzbaren Online-System zu machen.

Dialogsysteme, Gamification sowie datenschutzrechtliche und ethische Problemstellungen im Information Retrieval sind weitere Forschungsthemen, die ich untersuche.

Industrie und Wissenschaft n?her zusammenbringen

Ich war au?erdem an erfolgreichen gemeinsamen Universit?ts- und Industrieprojekten beteiligt, die NLP- und IR-Forschung in praktische kommerzielle Anwendungen umwandelten, beispielsweise als PI in einem Projekt der Knowledge Transfer Partnership (KTP) mit Signal Media. Die Zusammenarbeit wurde beim InnovateUK-Event ?Best of the Best 2015“ mit dem Preis für das beste Wissenstransfer-Partnerschaftsprojekt des Jahres ausgezeichnet. Ein weiteres KTP-Projekt mit Signal Media hat gerade begonnen. Ich habe gro?es Interesse daran, Industrie und Wissenschaft n?her zusammenzubringen. Dafür habe ich eine Reihe von Veranstaltungen (mit-)organisiert, z. B. die Branchentage bei Top-IR-Konferenzen. Au?erdem bin ich Teil des Organisationsteams der Search Solutions-Veranstaltung, die allj?hrlich bei British Computer Society's London HQ stattfindet.

Zudem habe ich in Regensburg das Meetup Data Science @ Regensburg ins Leben gerufen, an dem regelm??ig nationale und internationale Referenten aus Industrie und Wissenschaft teilnehmen. Schauen Sie vorbei und machen Sie mit!

02 | Projekte

02.1 | Aktuelle Projekte

COURAGE

COURAGE wird von der VolkswagenStiftung
finanziert und strebt einen virtuellen Begleiter an, der
Jugendliche in die Nutzung sozialer Netzwerke
einführen soll. 百利宫_百利宫娱乐平台￥官网er virtuelle Begleiter wird das
Bewusstsein für die potenziellen Bedrohungen sch?rfen,
denen junge Menschen in sozialen Netzwerken
ausgesetzt sind.

Zusammenarbeit mit SIGNAL

Ein ?u?erst erfolgreiches Projekt der Knowledge
Transfer Partnership (KTP) (2013-2015) war der
Ausgangspunkt für eine kontinuierliche Zusammen-
arbeit mit Signal Media.
Ich freue mich, dass Miguel Martinez-Alvarez, der
als KTP Associate zu uns gesto?en ist, jetzt als Leiter
der Forschungsabteilung bei Signal t?tig ist. Derzeit
bin ich als leitender akademischer Berater t?tig.? ????????? ?

Nachfolgend finden Sie aktuelle News zu unserer
Zusamenarbeit:

November 2014: Miguel wird zum Business Leader of Tomorrow ernannt.

April 2015: Beste Demo-Auszeichnung auf der ECIR 2015 für die Signal-Demo und noch aufregender:
Signal hat gerade bekannt gegeben, dass es 1,8 Mio.
USD Wachstumskapital von erstklassigen Investoren gesammelt hat (siehe Techcrunch).

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

Februar 2016: Projekt Features wieder auf der
Homepage von InnovateUK's.

Weiterer Meilenstein: Signal schlie?t 16 Mio. USD
Series B funding round ab.

Dezember 2018: Neues KTP Projekt Start für Januar
2019 best?tigt.

DALI

Das Projekt "Creating anaphorically annotated
resources through semantic wikis (AnaWiki) (EPSRC)"
hat zur Entwicklung von Phrase Detectives geführt,
einem Annotationsspiel, das auf die Erstellung
semantisch kommentierter Korpora abzielt.

Das DALI ERC Projekt baut auf den Erkenntnissen
von PhraseDetectives auf.

02.2 | Letzte Projekte

HRBDT

Ein fünfj?hriger ESRC-Gro?zuschuss für
Menschenrechte im Zeitalter von Big Data ist bereits
in vollem Gange.

Die Language and Computation Group an der
University of Essex spielt eine wichtige Rolle in diesem
Projekt, das auch auf unseren Verbindungen zur
Minority Rights Group aufbaut.

KTP MRG

Ein dreij?hriges Projekt der Knowledge Transfer
Partnership (KTP) (2014-2017), an dem die Minority
Rights Group und Essex beteiligt sind, zielt auf neue
Systeme zur Unterstützung der zivilen ?berwachung
von Menschenrechtsverletzungen ab.
Das Iraq Ceasefire Portal ist eines der wichtigsten
Ergebnisse des Projekts.

Die Corpus of Violence Acts in Arabic Social Media
sind eine akademische Ressource, die in
unserem LREC 2016 paper ausführlicher
beschrieben wird.

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 | Lehre

Advanced Topics in Information Retrieval

Einführung in die Informationswissenschaft

Einführung in die Informationslinguistik I / Natural Language Engineering 1

Introduction to Natural Language Engineering II / Informationslinguistik II: Sprach- und Texttechnologie

Introduction to Information Retrieval / Einführung in das Information Retrieval

MIT Global Startup Lab

SoSe 2024 | SoSe 2025

Natural Language Engineering / Methoden der maschinellen Sprachverarbeitung

Oberseminar Informationswissenschaft

Ringvorlesung ChatGPT & Co.

SoSe 2023

Research Seminar IR / Forschungsseminar IR

Lebenslauf

Seit Juli 2019 ist Udo Kruschwitz der Inhaber des Lehrstuhls für Informationswissenschaft an der Universit?t Regensburg.

Zuvor war er als Professor an der School of Computer Science and Electronic Engineering der University of Essex t?tig.

Sein Forschungsinteresse liegt in der Schnittstelle zwischen Information Retrieval (IR) und Natural Language Processing (NLP). Er leitete Forschungsprojekte, in denen Algorithmen entwickelt wurden, um unstrukturierte und teilsstrukturierte Textdaten in strukturiertes Wissen und Benutzer-/Kohortenmodelle zu überführen, die in einer Vielzahl von Einsatzfeldern, einschlie?lich der Suche, Navigation und Zusammenfassung, angewandt wurden.

Publikationen

Ausgew?hlte Zeitschriftenartikel

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

Bücher

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

Ausgew?hlte Buchkapitel

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.

Ausgew?hlte Konferenzbeitr?ge

2021:

Ramsauer D., Kruschwitz U. (2021, March). Exploring the Incorporation of Opinion Polarity for Abstractive Multi-document Summarisation. In Advances in Information Retrieval?(pp. 350-358). ECIR 2021. Springer.

Brill, J., Albakour, D., Esquivel, J. A., Kruschwitz, U., Martinez, M., Chamberlain, J. (2021, March). Signal Briefings: Monitoring News Beyond the Brand. In?Advances in Information Retrieval (pp. 487-491). ECIR 2021. Springer.

Donabauer, G., Kruschwitz, U., Corney, D. (2021, April). Making Sense of Subtitles: Sentence Boundary Detection and Speaker Change Detection in Unpunctuated Texts. In WWW '21: Companion Proceedings of the Web Conference 2021 (pp.?357–362). ACM.

2020:

Zimmerman, S., Herzog, S., Chamberlain, J., Elsweiler, D. & Kruschwitz, U. (2020, July). Towards a Framework for Harm Prevention in Web Search.In Proceedings of the BIRDS'2020 workshop @ SIGIR 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.

Hoffmann, J., Kruschwitz, U. (2020). UR_NLP @ HaSpeeDe 2 at EVALITA 2020: Towards Robust Hate Speech Detection with Contextual Embeddings. In EVALITA 2020. CEUR Workshop Proceedings.

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.

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)

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.

Albakour, M. D., Kruschwitz, U., Adeyanju, I., Song, D., Fasli, M., & De Roeck, A. (2011, December