- 2018
-
Wronging a Right: Generating Better Errors to Improve Grammatical
Error Detection,
Sudhanshu Kasewa, Pontus Stenetorp, Sebastian Riedel,
Proceedings of the 2018 Conference on Empirical Methods in Natural
Language Processing
2018
[pdf]
[details]
-
UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF),
Takuma Yoneda, Jeff Mitchell, Johannes Welbl, Pontus Stenetorp and Sebastian Riedel,
Proceedings of the First Workshop on Fact Extraction and VERification (FEVER)
2018
[pdf]
[details]
-
Interpretation of Natural Language Rules in Conversational Machine
Reading,
Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktaschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel,
Proceedings of the 2018 Conference on Empirical Methods in Natural
Language Processing
2018
[pdf]
[details]
-
Constructing Datasets for Multi-hop Reading Comprehension Across Documents,
Johannes Welbl, Pontus Stenetorp, Sebastian Riedel,
Transactions of the Association for Computational Linguistics
2018
[pdf]
[details]
-
Behavior Analysis of NLI Models: Uncovering the Influence of Three
Factors on Robustness,
Ivan Sanchez, Jeff Mitchell, Sebastian Riedel,
Joint Human Language Technology Conference/Annual Meeting of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL)
2018
[pdf]
[details]
-
Adversarially Regularising Neural NLI Models to Integrate Logical
Background Knowledge,
Pasquale Minervini, Sebastian Riedel,
Proceedings of the 22nd Conference on Computational Natural Language
Learning, CoNLL 2018
2018
[pdf]
[details]
-
Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers,
Georgios Spithourakis, Sebastian Riedel,
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL)
2018
[pdf]
[details]
-
Jack the Reader – A Machine Reading Framework,
Dirk Weissenborn, Pasquale Minervini, Tim Dettmers, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bošnjak, Jeff Mitchell, Thomas Demeester, Pontus Stenetorp, Sebastian Riedel,
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL) System Demonstrations
2018
[pdf]
[details]
-
Extrapolation in NLP,
Jeff Mitchell, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel,
Proceedings of the Generalization in the Age of Deep Learning NAACL 2018 Workshop
2018
[pdf]
[details]
-
Convolutional 2D Knowledge Graph Embeddings,
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel,
Proceedings of the 32th AAAI Conference on Artificial Intelligence (AAAI '18)
2018
[pdf]
[details]
- 2017
-
Towards automated clinical coding in critical care,
Finn Catling, Georgios Spithourakis, Sebastian Riedel,
N/A
2017
[details]
-
Knowledge Graph Completion via Complex Tensor Factorization,
Th\'eo Trouillon and
Christopher R. Dance and
Johannes Welbl and
Sebastian Riedel and
\'Eric Gaussier and
Guillaume Bouchard,
N/A
2017
[pdf]
[details]
-
Crowdsourcing Multiple Choice Science Questions,
Johannes Welbl, Nelson F. Liu, and Matt Gardner,
Workshop on Noisy User-generated Text
2017
[details]
-
A Supervised Approach to Extractive Summarisation of Scientific Papers,
Collins, Ed, Augenstein, Isabelle and Riedel, Sebastian,
Proceedings of the 21th Conference on Computational Natural Language Learning (CoNLL)
2017
[pdf]
[details]
-
End-to-end Differentiable Proving,
Rocktaschel, Tim and Riedel, Sebastian,
Advances in Neural Information Processing Systems (NIPS)
2017
[pdf]
[details]
-
Frustratingly Short Attention Spans in Neural Language Modeling,
Daniluk, Michal, Rocktaschel, Tim, Welbl, Johannes and Riedel, Sebastian,
Proceedings of International Conference on Learning Representations (ICLR)
2017
[pdf]
[details]
-
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications,
Augenstein, Isabelle, Das, Mrinal Kanti, Riedel, Sebastian, Vikraman, Lakshmi Nair and McCallum, Andrew,
Proceedings of SemEval
2017
[pdf]
[details]
-
Adversarial Sets for Regularising Neural Link Predictors,
Minervini, Pasquale, Demeester, Thomas, Rocktaschel, Tim and Riedel, Sebastian,
Proceedings of the 33th Annual Conference on Uncertainty in AI (UAI)
2017
[pdf]
[details]
-
Programming with a Differentiable Forth Interpreter,
Bosnjak, Matko, Rocktaschel, Tim, Naradowsky, Jason and Riedel, Sebastian,
Proceedings of the 34th International Conference on Machine Learning (ICML)
2017
[pdf]
[details]
-
Multi-Task Learning of Keyphrase Boundary Classification,
Augenstein, Isabelle and Sogaard, Anders,
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL)
2017
[pdf]
[details]
-
Neural Architectures for Fine-grained Entity Type Classification,
Shimaoka, Sonse, Stenetorp, Pontus, Riedel, Sebastian and Inui, Kentaro,
Proceedings of the European Chapter of the ACL (EACL)
2017
[details]
-
How Well Can We Predict Hypernyms from Word Embeddings? A dataset-centric Analysis,
Sanchez, Ivan and Riedel, Sebastian,
Proceedings of the European Chapter of the ACL (EACL)
2017
[pdf]
[details]
-
The SUMMA Platform Prototype,
Renars Liepins, Ulrich Germann, Guntis Barzdins, Alexandra Birch, Steve Renals, Susanne Weber, Peggy van der Kreeft, Herv\'e Bourlard, Jo\~ao Prieto, Ondrej Klejch, Peter Bell, Alexandros Lazaridis, Alfonso Mendes, Sebastian Riedel, Mariana S. C. Almeida, Pedro Balage, Shay B. Cohen, Tomasz Dwojak, Philip N. Garner, Andreas Giefer, Marcin Junczys-Dowmunt, Hina Imran, David Nogueira, Ahmed M. Ali, Sebasti\~ao Miranda, Andrei Popescu-Belis, Lesly Miculicich Werlen, Nikos Papasarantopoulos, Abiola Obamuyide, Clive Jones, Fahim Dalvi, Andreas Vlachos, Yang Wang, Sibo Tong, Rico Sennrich, Nikolaos Pappas, Shashi Narayan, Marco Damonte, Nadir Durrani, Sameer Khurana, Ahmed Abdelali, Hassan Sajjad, Stephan Vogel, David Sheppey, Chris Hernon and Jeff Mitchell,
Proceedings of the EACL 2017 Software Demonstrations
2017
[pdf]
[details]
- 2016
-
SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods,
Saeidi, Marzieh, Bouchard, Guillaume, Liakata, Maria and Riedel, Sebastian,
Proceedings of the 26th International Conference on Computational Linguistics (COLING)
2016
[pdf]
[details]
-
Learning to Reason With Adaptive Computation,
Neumann, Mark, Stenetorp, Pontus and Riedel, Sebastian,
Proceedings of Interpretable ML for Complex Systems NIPS Workshop
2016
[pdf]
[details]
-
Stance Detection with Bidirectional Conditional Encoding,
Augenstein, Isabelle, Rocktaschel, Tim, Vlachos, Andreas and Bontcheva, Kalina,
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)
2016
[pdf]
[details]
-
Numerically Grounded Language Models for Semantic Error Correction,
Spithourakis, Georgios, Augenstein, Isabelle and Riedel, Sebastian,
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)
2016
[pdf]
[details]
-
Lifted Rule Injection for Relation Embeddings,
Demeester, Thomas, Rocktaschel, Tim and Riedel, Sebastian,
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)
2016
[pdf]
[details]
-
Learning to Generate Textual Data,
Bouchard, Guillaume, Stenetorp, Pontus and Riedel, Sebastian,
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)
2016
[pdf]
[details]
-
Clinical Text Prediction with Numerically Grounded Conditional Language Models,
Spithourakis, Georgios, Petersen, Steffen and Riedel, Sebastian,
Proceedings of 7th International Workshop on Health Text Mining and Information Analysis (LOUHI) EMNLP
2016
[pdf]
[details]
-
emoji2vec: Learning Emoji Representations from their Description,
Eisner, Ben, Rocktaschel, Tim, Augenstein, Isabelle, Bosnjak, Matko and Riedel, Sebastian,
Proceedings of the International Workshop on Natural Language Processing for Social Media at EMNLP (SocialNLP)
2016
Best Paper at SocialNLP
[pdf]
[details]
-
A Persona-Based Neural Conversation Model,
Li, Jiwei, Galley, Michel, Brockett, Chris, Spithourakis, Georgios, Gao, Jianfeng and Dolan, Bill,
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL)
2016
[pdf]
[details]
-
Defining Words with Words: Beyond the Distributional Hypothesis,
Parasca, Iuliana-Elena, Rauter, Andreas Lukas, Roper, Jack, Rusinov, Aleksandar, Bouchard, Guillaume, Riedel, Sebastian and Stenetorp, Pontus,
Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP (RepEval)
2016
Best proposal award at RepEval
[pdf]
[details]
-
Complex Embeddings for Simple Link Prediction,
Trouillon, Théo, Welbl, Johannes, Bouchard, Guillaume, Riedel, Sebastian and Gaussier, Eric,
International Conference on Machine Learning
2016
[pdf]
[details]
-
A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion,
Welbl, Johannes, Bouchard, Guillaume and Riedel, Sebastian,
Proceedings of the 5th Workshop on Automated Knowledge Base Construction (AKBC)
2016
[pdf]
[details]
-
An Attentive Neural Architecture for Fine-grained Entity Type Classification,
Shimaoka, Sonse, Stenetorp, Pontus, Inui, Kentaro and Riedel, Sebastian,
Proceedings of the 5th Workshop on Automated Knowledge Base Construction (AKBC)
2016
[pdf]
[details]
-
Learning Knowledge Base Inference with Neural Theorem Provers,
Rocktaschel, Tim and Riedel, Sebastian,
Proceedings of the 5th Workshop on Automated Knowledge Base Construction (AKBC)
2016
[pdf]
[details]
-
Regularizing Relation Representations by First-order Implications,
Demeester, Thomas, Rocktaschel, Tim and Riedel, Sebastian,
Proceedings of the 5th Workshop on Automated Knowledge Base Construction (AKBC)
2016
[pdf]
[details]
-
Generating Natural Language Inference Chains,
Kolesnyk, Vladyslav, Rocktaschel, Tim and Riedel, Sebastian,
arXiv preprint arXiv:1606.01404
2016
[pdf]
[details]
-
Programming with a Differentiable Forth Interpreter,
Bosnjak, Matko, Rocktaschel, Tim, Naradowsky, Jason and Riedel, Sebastian,
arXiv preprint arXiv:1605.06640
2016
[pdf]
[details]
-
Learning Python Code Suggestion with a Sparse Pointer Network,
Bhoopchand, Avishkar, Rocktaschel, Tim, Barr, Earl and Riedel, Sebastian,
arXiv preprint arXiv:1605.06640
2016
[pdf]
[details]
-
Reasoning about Entailment with Neural Attention,
Rocktaschel, Tim, Grefenstette, Edward, Hermann, Karl Moritz, Kocisky, Tomas and Blunsom, Phil,
International Conference on Learning Representations (ICLR)
2016
[pdf]
[details]
- 2015
-
Identification and Verification of Simple Claims about Statistical Properties,
Vlachos, Andreas and Riedel, Sebastian,
Proceedings of the Conference on Empirical Methods in Natural Language Processing
2015
[pdf]
[details]
-
A Strong Lexical Matching Method for the Machine Comprehension Test,
Smith, Ellery, Greco, Nicola, Bosnjak, Matko and Vlachos, Andreas,
Proceedings of the Conference on Empirical Methods in Natural Language Processing
2015
[pdf]
[details]
-
Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning,
Augenstein, Isabelle, Vlachos, Andreas and Maynard, Diana,
Proceedings of the Conference on Empirical Methods in Natural Language Processing
2015
[pdf]
[details]
-
Dependency Recurrent Neural Language Models for Sentence Completion,
Mirowski, Piotr and Vlachos, Andreas,
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and The 7th International Joint Conference of the Asian Federation of Natural Language Processing
2015
[pdf]
[details]
-
Injecting Logical Background Knowledge into Embeddings for Relation Extraction,
Rocktaschel, Tim, Singh, Sameer and Riedel, Sebastian,
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
2015
[pdf]
[details]
-
Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction,
Singh, Sameer, Rocktaschel, Tim and Riedel, Sebastian,
NAACL Workshop on Vector Space Modeling for NLP (VSM)
2015
[details]
-
Towards Extracting Faithful and Descriptive Representations of Latent Variable Models,
Sanchez, Ivan, Rocktaschel, Tim, Riedel, Sebastian and Singh, Sameer,
AAAI Spring Symposium on Knowledge Representation and Reasoning
2015
[pdf]
[details]
-
Extracting interpretable models from matrix factorization models,
Sanchez, Ivan and Riedel, Sebastian,
Proceedings of the International Conference on Cognitive Computation
2015
[pdf]
[details]
- 2014
-
Designing an IDE for Probabilistic Programming: Challenges and a Prototype,
Singh, Sameer, Riedel, Sebastian, Hewitt, Luke and Rocktaschel, Tim,
NIPS Workshop on Probabilistic Programming
2014
[details]
-
A New Corpus and Imitation Learning Framework for Context-Dependent Semantic Parsing,
Vlachos, Andreas and Clark, Stephen,
Transactions of the Association for Computational Linguistics
2014
[pdf]
[details]
-
Application-Driven Relation Extraction with Limited Distant Supervision,
Vlachos, Andreas and Clark, Stephen,
Proceedings of the 25th international conference on Computational Linguistics (COLING)
2014
[pdf]
[details]
-
WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming,
Sebastian Riedel, Sameer Singh, Vivek Srikumar, Tim Rocktaschel, Larysa Visengeriyeva and Jan Noessner,
International Workshop on Statistical Relational AI (StarAI)
2014
[details]
-
Message Passing for Soft Constraint Dual Decomposition,
David Belanger, Alexandre Passos, Sebastian Riedel and Andrew McCallum,
Proceedings of the 30th Annual Conference on Uncertainty in AI (UAI)
2014
[pdf]
[details]
-
Fact Checking: Task definition and dataset construction,
Vlachos, Andreas and Riedel, Sebastian,
Proceedings of the ACL Workshop on Language Technology and Computational Social Science
2014
[pdf]
[details]
-
Low-Dimensional Embeddings of Logic,
Rocktaschel, Tim, Bosnjak, Matko, Singh, Sameer and Riedel, Sebastian,
ACL Workshop on Semantic Parsing (SP)
2014
Google Exeptional Submission Award
[pdf]
[details]
- 2013
-
Anytime Belief Propagation Using Sparse Domains,
Sameer Singh, Sebastian Riedel and Andrew McCallum,
Neural Information Processing Systems (NIPS) Workshop on Resource Efficient Machine Learning
2013
[details]
-
Joint Inference of Entities, Relations, and Coreference,
Sameer Singh, Sebastian Riedel, Brian Martin, Jiaping Zheng and Andrew McCallum,
CIKM Workshop on Automated Knowledge Base Construction (AKBC)
2013
[details]
-
Automorphism Groups of Graphical Models and Lifted Variational Inference,
Hung Bui, Tuyen N. Huynh and Sebastian Riedel,
Proceedings of the 29th Annual Conference on Uncertainty in AI (UAI)
2013
[details]
-
Relation Extraction with Matrix Factorization and Universal Schemas,
Sebastian Riedel, Limin Yao, Benjamin M. Marlin and Andrew McCallum,
Joint Human Language Technology Conference/Annual Meeting of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL)
2013
[pdf]
[details]
-
Latent Relation Representations for Universal Schemas,
Riedel, Sebastian, Yao, Limin and McCallum, Andrew,
International Conference on Learning Representations
2013
[details]
-
Advances in Automated Knowledge Base Construction,
Fabian Suchanek, James Fan, Raphael Hoffmann, Sebastian Riedel and Partha Pratim Talukdar,
SIGMOD Records journal
2013
[pdf]
[details]
- 2012
-
MAP Inference in Chains using Column Generation,
David Belanger, Alexandre Passos, Sebastian Riedel and Andrew McCallum,
Advances in Neural Information Processing Systems (NIPS)
2012
Winner of the 2nd best spotlight presentation award at the NYC Machine Learning Symposium
[pdf]
[details]
-
Automorphism Groups of Graphical Models and Lifted Variational Inference,
Hung Bui, Tuyen N. Huynh and Sebastian Riedel,
Second Statistical Relational AI (StaRAI-12) workshop at UAI
2012
[pdf]
[details]
-
Automorphism Groups of Graphical Models and Lifted Variational Inference,
Hung Bui, Tuyen N. Huynh and Sebastian Riedel,
arXiv.org
2012
Extended version of the paper to appear in Statistical Relational AI (StaRAI-12) workshop at UAI '12
[pdf]
[details]
-
Parse, Price and Cut - Delayed Column and Row Generation for Graph Based Parsers,
Sebastian Riedel, David A. Smith and Andrew McCallum,
Proceedings of the Conference on Empirical methods in natural language processing (EMNLP)
2012
[pdf]
[details]
-
Improving NLP through Marginalization of Hidden Syntactic Structure,
Jason Naradowsky, Sebastian Riedel and David A. Smith,
Proceedings of the Conference on Empirical methods in natural language processing (EMNLP)
2012
[pdf]
[details]
-
Unsupervised Relation Discovery with Sense Disambiguation,
Limin Yao, Sebastian Riedel and Andrew McCallum,
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL)
2012
[pdf]
[details]
-
Probabilistic Databases of Universal Schema,
Limin Yao, Sebastian Riedel and Andrew McCallum,
Proceedings of the AKBC-WEKEX Workshop at NAACL
2012
[pdf]
[details]
-
Combining joint models for biomedical event extraction,
David McClosky, Sebastian Riedel, Mihai Surdeanu, Andrew McCallum and Christopher D. Manning,
BMC Bioinformatics
2012
[pdf]
[details]
-
Speeding up MAP with Column Generation and Block Regularization,
David Belanger, Alexandre Passos, Sebastian Riedel and Andrew McCallum,
Inferning: Interactions between Inference and Learning, ICML Workshop
2012
[pdf]
[details]
- 2011
-
U-Compare bio-event meta-service: compatible BioNLP event extraction services,
Kano, Yoshinobu, Bjorne, Jari, Ginter, Filip, Salakoski, Tapio, Buyko, Ekaterina, Hahn, Udo, Cohen, K Bretonnel, Verspoor, Karin, Roeder, Christophe, Hunter, Lawrence, Kilicoglu, Halil, Bergler, Sabine, Van Landeghem, Sofie, Van Parys, Thomas, Van de Peer, Yves, Miwa, Makoto, Ananiadou, Sophia, Neves, Mariana, Pascual-Montano, Alberto, Ozgur, Arzucan, Radev, Dragomir, Riedel, Sebastian, Saetre, Rune, Chun, Hong-Woo, Kim, Jin-Dong, Pyysalo, Sampo, Ohta, Tomoko and Tsujii, Jun'ichi,
BMC Bioinformatics
2011
[pdf]
[details]
-
Bio-Molecular Event Extraction with Markov Logic,
Sebastian Riedel, Rune Saetre, Hong-Woo Chun, Toshihisa Takagi and Jun'ichi Tsujii,
Computational Intelligence
2011
[details]
-
Inter-Event Dependencies support Event Extraction from Biomedical Literature,
Roman Klinger, Sebastian Riedel and Andrew McCallum,
Mining Complex Entities from Network and Biomedical Data (MIND), Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD)
2011
[details]
-
Structured Relation Discovery using Generative Models,
Limin Yao, Aria Haghighi, Sebastian Riedel and Andrew McCallum,
Proceedings of the Conference on Empirical methods in natural language processing (EMNLP)
2011
[pdf]
[details]
-
Fast and Robust Joint Models for Biomedical Event Extraction,
Sebastian Riedel and Andrew McCallum,
Proceedings of the Conference on Empirical methods in natural language processing (EMNLP)
2011
Plenary Session Paper (acceptance rate 1.6%)
[pdf]
[details]
-
Robust Biomedical Event Extraction with Dual Decomposition and Minimal Domain Adaptation,
Sebastian Riedel and Andrew McCallum,
Proceedings of the Natural Language Processing in Biomedicine NAACL 2011 Workshop (BioNLP)
2011
A longer more informative version of this paper appeared in EMNLP 2011
[pdf]
[details]
-
Model Combination for Event Extraction in BioNLP,
Sebastian Riedel, David McClosky, Mihai Surdeanu, Christopher D. Manning and Andrew McCallum,
Proceedings of the Natural Language Processing in Biomedicine NAACL 2011 Workshop (BioNLP)
2011
[pdf]
[details]
- 2010
-
Coreference Based Event-Argument Relation Extraction on Biomedical Text,
Katsumasa Yoshikawa, Sebastian Riedel, Tsutomu Hirao, Masayuki Asahara and Yuji Matsumoto,
Proceedings of the Fourth International Symposium on Semantic Mining in Biomedicine (SMBM)
2010
Best Paper Award
[details]
-
Collective Cross-Document Relation Extraction Without Labelled Data,
Limin Yao, Sebastian Riedel and Andrew McCallum,
Proceedings of the Conference on Empirical methods in natural language processing (EMNLP)
2010
[pdf]
[details]
-
Modeling Relations and Their Mentions without Labeled Text,
Sebastian Riedel, Limin Yao and Andrew McCallum,
Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD)
2010
[pdf]
[details]
-
Declarative Probabilistic Programming for Undirected Models: Open Up to Scale Up,
Sebastian Riedel,
Statistical Relational AI workshop at AAAI (starAI)
2010
[pdf]
[details]
-
Inference by Minimizing Size, Divergence, or their Sum,
Sebastian Riedel, David Smith and Andrew McCallum,
Proceedings of the 26th Annual Conference on Uncertainty in AI (UAI)
2010
[details]
-
Constraint-Driven Rank-Based Learning for Information Extraction,
Sameer Singh, Limin Yao, Sebastian Riedel and Andrew McCallum,
Joint Human Language Technology Conference/Annual Meeting of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL)
2010
[pdf]
[details]
-
Relaxed Marginal Inference and its Application to Dependency Parsing,
Sebastian Riedel and David A. Smith,
Joint Human Language Technology Conference/Annual Meeting of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL)
2010
[pdf]
[details]
- 2009
-
Jointly Identifying Temporal Relations with Markov Logic,
Yoshikawa, Katsumasa, Riedel, Sebastian, Asahara, Masayuki and Matsumoto, Yuji,
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP (ACL '09)
2009
[pdf]
[details]
-
Cutting Plane MAP Inference for Markov Logic,
Sebastian Riedel,
SRL 2009
2009
[pdf]
[details]
-
Revisiting optimal decoding for machine translation IBM model 4,
Sebastian Riedel and James Clarke,
Joint Human Language Technology Conference/Annual Meeting of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL)
2009
[pdf]
[details]
-
A Markov Logic Approach to Bio-Molecular Event Extraction,
Sebastian Riedel, Hong-Woo Chun, Toshihisa Takagi and Jun'ichi Tsujii,
Proceedings of the Natural Language Processing in Biomedicine NAACL 2009 Workshop (BioNLP)
2009
[pdf]
[details]
-
Jointly Identifying Predicates, Arguments and Senses using Markov Logic,
Ivan Meza-Ruiz and Sebastian Riedel,
Joint Human Language Technology Conference/Annual Meeting of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL)
2009
[pdf]
[details]
-
Joint Inference of Temporal Relations with Markov Logic,
Katsumasa Yoshikawa, Sebastian Riedel, Masayuki Asahara and Yuji Matsumoto,
Transactions of the Japanese Society for Artificial Intelligence
2009
[details]
-
Efficient Prediction of Relational Structure and its Application to Natural Language Processing,
Sebastian Riedel,
University of Edinburgh
2009
[details]
- 2008
-
Improving the accuracy and Efficiency of MAP Inference for Markov Logic,
Sebastian Riedel,
Proceedings of the 24th Annual Conference on Uncertainty in AI (UAI)
2008
[pdf]
[details]
-
Collective Semantic Role Labelling with Markov Logic,
Sebastian Riedel and Ivan Meza-Ruiz,
Proceedings of the 12th Conference on Computational Natural Language Learning (CoNLL)
2008
[pdf]
[details]
-
Spoken Language Understanding in dialogue systems, using a 2-layer Markov Logic Network: improving semantic accuracy,
Ivan Meza-Ruiz, Sebastian Riedel and Oliver Lemon,
Late Breaking Abstracts of Londial: Workshop on the semantics and pragmatics of dialogue
2008
[details]
-
Accurate Statistical Spoken Language Understanding From Limited Development Resources,
Ivan Vladimir Meza-Ruiz, Sebastian Riedel and Oliver Lemon,
Proceedings of 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
2008
[pdf]
[details]
- 2007
-
The CoNLL Shared Task on Dependency Parsing,
J. Nivre, J. Hall, S. Kubler, R. McDonald, J. Nilsson, S. Riedel and D. Yuret,
Conference on Empirical Methods in Natural Language Processing and Natural Language Learning
2007
[pdf]
[details]
- 2006
-
Incremental Integer Linear Programming for Non-projective Dependency Parsing,
Sebastian Riedel and James Clarke,
Proceedings of the Conference on Empirical methods in natural language processing (EMNLP)
2006
[pdf]
[details]
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Multi-lingual Dependency Parsing with Incremental Integer Linear Programming,
Sebastian Riedel, Ruken Cakeci and Ivan Meza-Ruiz,
Proceedings of CoNLL
2006
[pdf]
[details]
- 2005
- 2004
-
Towards Structural Evolution of Classification Workflows,
Sebastian Riedel,
2004
[details]
-
Linkage Flooding: Ein Algorithmus zur dateninhaltsorientierten Fusion in vernetzten Informationsbest�nden.,
Vanda Lehel, Florian Matthes and Sebastian Riedel,
GI Jahrestagung (1)
2004
[pdf]
[details]
-
A Framework for Text Mining Services,
Claire Grover, Harry Halpin, Ewan Klein, Jochen L. Leidner, Stephen Potter, Sebastian Riedel, Sally Scrutchin and Richard Tobin,
Proceedings of the UK e-Science Programme All Hands Meeting 2004 (AHM)
2004
[pdf]
[details]
- 2003
-
Entwicklung eines Modells, Verfahrens und softwaretechnischen Rahmenwerks f�r Record Linkage in semantischen Netzen,
Sebastian Riedel,
2003
[pdf]
[details]
- 2002
-
Marker-less Tracking for AR: A Learning-Based Approach,
Y. Genc, S. Riedel, F. Souvannavong, C. Akinlar and N. Navab,
ISMAR '02: Proceedings of the International Symposium on Mixed and Augmented Reality (ISMAR)
2002
[pdf]
[details]