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ORCIDJochen L. Leidner
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- affiliation: Thomson Reuters, Corporate R&D, London, UK
- affiliation: University of Edinburgh, School of Informatics
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2020 – today
- 2024
[c51]Jochen L. Leidner:
Homo Narrans: From Information to Narratives. Text2Story@ECIR 2024: 1-2- [c50]Tim Menzner, Jochen L. Leidner
:
Experiments in News Bias Detection with Pre-trained Neural Transformers. ECIR (4) 2024: 270-284 - [c49]Tim Menzner, Jochen L. Leidner:
Improved Models for Media Bias Detection and Subcategorization. NLDB (1) 2024: 181-196 - [c48]Jochen L. Leidner, Luca Jung:
TAME II: A Modern Geographic Text Annotation Tool. W2GIS 2024: 95-104 - [e3]Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova:
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part I. Communications in Computer and Information Science 1947, Springer 2024, ISBN 978-3-031-50395-5 [contents] - [e2]Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova:
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part II. Communications in Computer and Information Science 1948, Springer 2024, ISBN 978-3-031-50484-6 [contents] - [i11]Jochen L. Leidner, Mark Stevenson:
Challenges and Opportunities of NLP for HR Applications: A Discussion Paper. CoRR abs/2405.07766 (2024) - [i10]Tim Menzner, Jochen L. Leidner, Florian Mittag:
Which Country Is This? Automatic Country Ranking of Street View Photos. CoRR abs/2406.07227 (2024) - [i9]Tim Menzner, Jochen L. Leidner:
Experiments in News Bias Detection with Pre-Trained Neural Transformers. CoRR abs/2406.09938 (2024) - [i8]Tim Menzner, Jochen L. Leidner:
BiasScanner: Automatic Detection and Classification of News Bias to Strengthen Democracy. CoRR abs/2407.10829 (2024) - 2023
- [c47]Jochen L. Leidner, Michael Reiche:
Language-Model Assisted Learning How to Program? ECAI Workshops (2) 2023: 425-438 - [c46]Michael Reiche, Jochen L. Leidner:
Bridging the Programming Skill Gap with ChatGPT: A Machine Learning Project with Business Students. ECAI Workshops (2) 2023: 439-446 - [c45]Markos Dimitsas, Jochen L. Leidner:
Topic Segmentation of Educational Video Lectures Using Audio and Text. ECAI Workshops (2) 2023: 447-458 - [c44]Timothy Nugent, George Gkotsis, Jochen L. Leidner:
Extractive Summarization of Financial Earnings Call Transcripts - Or: When GREP Beat BERT. ECIR (2) 2023: 3-15 - [c43]Tim Menzner, Florian Mittag, Jochen L. Leidner:
Which Country Is This? Automatic Country Ranking of Street View Photos. ECIR (3) 2023: 275-280 - [i7]Thomas Rüdel, Jochen L. Leidner:
Control in Hybrid Chatbots. CoRR abs/2311.11701 (2023) - 2022
- [c42]Puneet Mathur, Mihir Goyal, Ramit Sawhney, Ritik Mathur, Jochen L. Leidner, Franck Dernoncourt, Dinesh Manocha:
DocFin: Multimodal Financial Prediction and Bias Mitigation using Semi-structured Documents. EMNLP (Findings) 2022: 1933-1940 - [c41]Jochen L. Leidner:
Data to Value: An 'Evaluation-First' Methodology for Natural Language Projects. NLDB 2022: 517-523 - [i6]Jochen L. Leidner:
Data-to-Value: An Evaluation-First Methodology for Natural Language Projects. CoRR abs/2201.07725 (2022) - 2021
- [c40]Timothy Nugent, Nicole Stelea, Jochen L. Leidner:
Detecting Environmental, Social and Governance (ESG) Topics Using Domain-Specific Language Models and Data Augmentation. FQAS 2021: 157-169 - 2020
- [c39]Thomas M. McDonald, Ziqing Dong, Yingji Zhang, Rebekah Hampson, James Young, Qianyu Cao, Jochen L. Leidner, Mark Stevenson:
The University of Sheffield at CheckThat! 2020: Claim Identification and Verification on Twitter. CLEF (Working Notes) 2020 - [c38]Jochen L. Leidner, Bruno Martins, Katherine McDonough, Ross S. Purves:
Text Meets Space: Geographic Content Extraction, Resolution and Information Retrieval. ECIR (2) 2020: 669-673 - [i5]Timothy Nugent, Nicole Stelea, Jochen L. Leidner:
Detecting ESG topics using domain-specific language models and data augmentation approaches. CoRR abs/2010.08319 (2020)
2010 – 2019
- 2019
- [c37]Timothy Nugent, Fabio Petroni, Benedict Whittam Smith, Jochen L. Leidner:
An On-Chain Method for Automatic Entitlement Management Using Blockchain Smart Contracts. BIS (Workshops) 2019: 255-266 - [c36]Daniel Pfeifer, Jochen L. Leidner:
Topic Grouper: An Agglomerative Clustering Approach to Topic Modeling. ECIR (1) 2019: 590-603 - [c35]Daniel Pfeifer, Jochen L. Leidner:
A Study on Topic Modeling for Feature Space Reduction in Text Classification. FQAS 2019: 403-412 - [c34]Natraj Raman, Jochen L. Leidner:
Financial Market Data Simulation Using Deep Intelligence Agents. PAAMS 2019: 200-211 - [c33]Jochen L. Leidner:
Nobody Said it Would be Easy: A Decade of R&D Projects in Information Access from Thomson over Reuters to Refinitiv. SIGIR 2019: 1387-1388 - [i4]Daniel Pfeifer, Jochen L. Leidner:
Topic Grouper: An Agglomerative Clustering Approach to Topic Modeling. CoRR abs/1904.06483 (2019) - 2018
- [c32]Fabio Petroni, Natraj Raman, Timothy Nugent, Armineh Nourbakhsh, Zarko Panic, Sameena Shah, Jochen L. Leidner:
An Extensible Event Extraction System With Cross-Media Event Resolution. KDD 2018: 626-635 - [c31]Vassilis Plachouras, Fabio Petroni, Timothy Nugent, Jochen L. Leidner:
A Comparison of Two Paraphrase Models for Taxonomy Augmentation. NAACL-HLT (2) 2018: 315-320 - [c30]Fabio Petroni, Vassilis Plachouras, Timothy Nugent, Jochen L. Leidner:
attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines. NAACL-HLT 2018: 453-462 - [i3]Jochen L. Leidner:
Information Retrieval in the Cloud. CoRR abs/1807.00257 (2018) - 2017
- [c29]Timothy Nugent, Fabio Petroni, Natraj Raman, Lucas Carstens, Jochen L. Leidner:
A comparison of classification models for natural disaster and critical event detection from news. IEEE BigData 2017: 3750-3759 - [c28]Lucas Carstens, Jochen L. Leidner, Krzysztof Szymanski, Blake Howald:
Modeling Company Risk and Importance in Supply Graphs. ESWC (2) 2017: 18-32 - [c27]Jochen L. Leidner, Vassilis Plachouras:
Ethical by Design: Ethics Best Practices for Natural Language Processing. EthNLP@EACL 2017: 30-40 - [c26]Charese Smiley, Frank Schilder, Vassilis Plachouras, Jochen L. Leidner:
Say the Right Thing Right: Ethics Issues in Natural Language Generation Systems. EthNLP@EACL 2017: 103-108 - 2016
- [j8]Timothy Nugent, Vassilis Plachouras, Jochen L. Leidner:
Computational drug repositioning based on side-effects mined from social media. PeerJ Comput. Sci. 2: e46 (2016) - [c25]Jochen L. Leidner:
Recent Advances in Information Access at Thomson Reuters R&D: News and Beyond. NewsIR@ECIR 2016: 1 - [c24]Timothy Nugent, Jochen L. Leidner:
Risk Mining: Company-Risk Identification from Unstructured Sources. ICDM Workshops 2016: 1308-1311 - [c23]Charese Smiley, Vassilis Plachouras, Frank Schilder, Hiroko Bretz, Jochen L. Leidner, Dezhao Song:
When to Plummet and When to Soar: Corpus Based Verb Selection for Natural Language Generation. INLG 2016: 36-39 - [c22]Vassilis Plachouras, Charese Smiley, Hiroko Bretz, Ola Taylor, Jochen L. Leidner, Dezhao Song, Frank Schilder:
Interacting with Financial Data using Natural Language. SIGIR 2016: 1121-1124 - [c21]Vassilis Plachouras, Jochen L. Leidner, Andrew G. Garrow:
Quantifying Self-Reported Adverse Drug Events on Twitter: Signal and Topic Analysis. SMSociety 2016: 6:1-6:10 - 2015
- [c20]Vassilis Plachouras, Jochen L. Leidner:
Information Extraction of Regulatory Enforcement Actions: From Anti-Money Laundering Compliance to Countering Terrorism Finance. ASONAM 2015: 950-953 - 2014
- [e1]Akiyo Nadamoto, Adam Jatowt, Adam Wierzbicki, Jochen L. Leidner:
Social Informatics - SocInfo 2013 International Workshops, QMC and HISTOINFORMATICS, Kyoto, Japan, November 25, 2013, Revised Selected Papers. Lecture Notes in Computer Science 8359, Springer 2014, ISBN 978-3-642-55284-7 [contents] - 2013
- [c19]Jochen L. Leidner, Darya Kamkova:
Making Structured Data Searchable via Natural Language Generation - with an Application to ESG Data. FQAS 2013: 495-506 - 2012
- [j7]Trevor J. M. Bench-Capon, Michal Araszkiewicz, Kevin D. Ashley, Katie Atkinson, Floris Bex, Filipe Borges, Danièle Bourcier, Paul Bourgine, Jack G. Conrad, Enrico Francesconi, Thomas F. Gordon, Guido Governatori, Jochen L. Leidner, David D. Lewis, Ronald Prescott Loui, L. Thorne McCarty, Henry Prakken, Frank Schilder, Erich Schweighofer, Paul Thompson, Alex Tyrrell, Bart Verheij, Douglas N. Walton, Adam Z. Wyner:
A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law. Artif. Intell. Law 20(3): 215-319 (2012) - 2011
- [j6]Jochen L. Leidner:
Handbook of Natural Language Processing (second edition) Nitin Indurkhya and Fred J. Damerau (editors) (University of New South Wales; IBM Thomas J. Watson Research Center)Boca Raton, FL: CRC Press, 2010, xxxiii+678 pp; hardbound, ISBN 978-1-4200-8592-1, $99.95. Comput. Linguistics 37(2): 395-397 (2011) - [j5]Jochen L. Leidner, Michael D. Lieberman:
Detecting geographical references in the form of place names and associated spatial natural language. ACM SIGSPATIAL Special 3(2): 5-11 (2011) - 2010
- [j4]Jochen L. Leidner, Gary Berosik:
Building and Installing a Hadoop/Mapreduce Cluster from Commodity Components: A Case Study. login Usenix Mag. 35(1) (2010) - [c18]Jochen L. Leidner, Frank Schilder:
Hunting for the Black Swan: Risk Mining from Text. ACL (System Demonstrations) 2010: 54-59
2000 – 2009
- 2009
- [c17]Jack G. Conrad, Jochen L. Leidner, Frank Schilder, Ravi Kondadadi:
Query-based opinion summarization for legal blog entries. ICAIL 2009: 167-176 - [i2]Jochen L. Leidner, Gary Berosik:
Building and Installing a Hadoop/MapReduce Cluster from Commodity Components. CoRR abs/0911.5438 (2009) - 2008
- [c16]Jack G. Conrad, Jochen L. Leidner, Frank Schilder:
Professional credibility: authority on the web. WICOW 2008: 85-88 - [c15]Michael Wiegand, Jochen L. Leidner, Dietrich Klakow:
Cost-Sensitive Learning in Answer Extraction. LREC 2008 - [i1]Frank Schilder, Ravi Kondadadi, Jochen L. Leidner, Jack G. Conrad:
Thomson Reuters at TAC 2008: Aggressive Filtering with FastSum for Update and Opinion Summarization. TAC 2008 - 2007
- [j3]Jochen L. Leidner:
Toponym resolution in text: annotation, evaluation and applications of spatial grounding. SIGIR Forum 41(2): 124-126 (2007) - [c14]Michael Wiegand, Jochen L. Leidner, Dietrich Klakow:
Combining term-based and event-based matching for question answering. SIGIR 2007: 715-716 - [c13]Jochen L. Leidner:
Resource monitoring in information extraction. SIGIR 2007: 779-780 - [c12]Dan Shen, Michael Wiegand, Andreas Merkel, Stefan Kazalski, Sabine Hunsicker, Jochen L. Leidner, Dietrich Klakow:
The Alyssa System at TREC QA 2007: Do We Need Blog06? TREC 2007 - 2006
- [j2]Jochen L. Leidner:
An evaluation dataset for the toponym resolution task. Comput. Environ. Urban Syst. 30(4): 400-417 (2006) - [c11]Irene M. Cramer, Jochen L. Leidner, Dietrich Klakow:
Building an Evaluation Corpus for German Question Answering by Harvesting Wikipedia. LREC 2006: 1514-1519 - [c10]Dan Shen, Jochen L. Leidner, Andreas Merkel, Dietrich Klakow:
The Alyssa System at TREC 2006: A Statistically-Inspired Question Answering System. TREC 2006 - 2005
- [c9]Jochen L. Leidner:
Experiments with Geo-Filtering Predicates for IR. CLEF 2005: 987-996 - [c8]Jochen L. Leidner:
Preliminary Experiments with Geo-Filtering Predicates for Geographic IR. CLEF (Working Notes) 2005 - [c7]Jochen L. Leidner:
A wireless natural language search engine. SIGIR 2005: 677 - 2004
- [j1]Jochen L. Leidner:
Open-Domain Question Answering from Large Text Collection, M. Pa[scedil]ca. J. Log. Lang. Inf. 13(3): 373-376 (2004) - [c6]Kisuh Ahn, Beatrix Alex, Johan Bos, Tiphaine Dalmas, Jochen L. Leidner, Matthew Smillie:
Cross-lingual Question Answering with QED. CLEF (Working Notes) 2004 - [c5]Kisuh Ahn, Beatrice Alex, Johan Bos, Tiphaine Dalmas, Jochen L. Leidner, Matthew Smillie:
Cross-Lingual Question Answering Using Off-the-Shelf Machine Translation. CLEF 2004: 446-457 - [c4]Jochen L. Leidner:
Toponym resolution in text (abstract only): "which sheffield is it?". SIGIR 2004: 602 - [c3]Kisuh Ahn, Johan Bos, Stephen Clark, Tiphaine Dalmas, Jochen L. Leidner, Matthew Smillie, Bonnie L. Webber, James R. Curran:
Question Answering with QED and Wee at TREC 2004. TREC 2004 - 2003
- [c2]Jochen L. Leidner, Tiphaine Dalmas, Bonnie L. Webber, Johan Bos, Claire Grover:
Automatic Multi-Layer Corpus Annotation for Evaluation Question Answering Methods: CBC4Kids. LINC@EACL 2003 - [c1]Jochen L. Leidner, Johan Bos, Tiphaine Dalmas, James R. Curran, Stephen Clark, Colin J. Bannard, Bonnie L. Webber, Mark Steedman:
QED: The Edinburgh TREC-2003 Question Answering System. TREC 2003: 631-635
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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