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Sebastian Riedel

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Efficient prediction of relational structure and its application to natural language processing.
S. Riedel. University of Edinburgh, UK, (2009)British Library, EThOS.
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Towards Neural Theorem Proving at Scale.(2018)
P. Minervini, M. Bosnjak, T. Rocktäschel, and S. Riedel.
Constructing Datasets for Multi-hop Reading Comprehension Across Documents.(2018)
J. Welbl, P. Stenetorp, and S. Riedel.
Convolutional 2D Knowledge Graph Embeddings.(2018)
T. Dettmers, P. Minervini, P. Stenetorp, and S. Riedel. AAAI Press
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge.(2018)
P. Minervini, and S. Riedel.
Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection.(2018)
S. Kasewa, P. Stenetorp, and S. Riedel.
Jack the Reader - A Machine Reading Framework.(2018)
D. Weissenborn, P. Minervini, T. Dettmers, I. Augenstein, J. Welbl, T. Rocktäschel, M. Bosnjak, J. Mitchell, T. Demeester, P. Stenetorp, and S. Riedel.
Interpretation of Natural Language Rules in Conversational Machine Reading.(2018)
M. Saeidi, M. Bartolo, P. Lewis, S. Singh, T. Rocktäschel, M. Sheldon, G. Bouchard, and S. Riedel.
Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness.(2018)
V. Carmona, J. Mitchell, and S. Riedel.
Question Answering Resources Applied to Slot-Filling.(2018)
J. Mitchell, and S. Riedel.
Towards automated clinical coding.(2018)
F. Catling, G. Spithourakis, and S. Riedel.
Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers.(2018)
G. Spithourakis, and S. Riedel.
Extrapolation in NLP.(2018)
J. Mitchell, P. Minervini, P. Stenetorp, and S. Riedel.
The SUMMA Platform Prototype.(2017)
R. Liepins, U. Germann, G. Barzdins, A. Birch, S. Renals, S. Weber, P. van der Kreeft, H. Bourlard, J. Prieto, O. Klejch, P. Bell, A. Lazaridis, A. Mendes, S. Riedel, M. Almeida, P. Balage, S. Cohen, T. Dwojak, P. Garner, A. Giefer, M. Junczys-Dowmunt, H. Imran, D. Nogueira, A. Ali, S. Miranda, A. Popescu-Belis, L. Werlen, N. Papasarantopoulos, A. Obamuyide, C. Jones, F. Dalvi, A. Vlachos, Y. Wang, S. Tong, R. Sennrich, N. Pappas, S. Narayan, M. Damonte, N. Durrani, S. Khurana, A. Abdelali, H. Sajjad, S. Vogel, D. Sheppey, C. Hernon, and J. Mitchell. Association for Computational Linguistics
Neural Architectures for Fine-grained Entity Type Classification.(2017)
S. Shimaoka, P. Stenetorp, K. Inui, and S. Riedel. Association for Computational Linguistics
Adversarial Sets for Regularising Neural Link Predictors.(2017)
P. Minervini, T. Demeester, T. Rocktäschel, and S. Riedel.
Frustratingly Short Attention Spans in Neural Language Modeling.(2017)
M. Daniluk, T. Rocktäschel, J. Welbl, and S. Riedel.
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task.(2017)
B. Riedel, I. Augenstein, G. Spithourakis, and S. Riedel.
End-to-end Differentiable Proving.(2017)
T. Rocktäschel, and S. Riedel.
Constructing Datasets for Multi-hop Reading Comprehension Across Documents.(2017)
J. Welbl, P. Stenetorp, and S. Riedel.
Convolutional 2D Knowledge Graph Embeddings.(2017)
T. Dettmers, P. Minervini, P. Stenetorp, and S. Riedel.
Community Question Answering Platforms vs. Twitter for Predicting Characteristics of Urban Neighbourhoods.(2017)
M. Saeidi, A. Venerandi, L. Capra, and S. Riedel.
How Well Can We Predict Hypernyms from Word Embeddings? A Dataset-Centric Analysis.(2017)
V. Carmona, and S. Riedel. Association for Computational Linguistics
A Supervised Approach to Extractive Summarisation of Scientific Papers.(2017)
E. Collins, I. Augenstein, and S. Riedel.
Programming with a Differentiable Forth Interpreter.(2017)
M. Bosnjak, T. Rocktäschel, J. Naradowsky, and S. Riedel. PMLR
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications.(2017)
I. Augenstein, A. McCallum, S. Riedel, M. Das, and L. Vikraman.
Knowledge Graph Completion via Complex Tensor Factorization.(2017)
T. Trouillon, C. Dance, J. Welbl, S. Riedel, É. Gaussier, and G. Bouchard.
Deep Semi-Supervised Learning with Linguistically Motivated Sequence Labeling Task Hierarchies.(2016)
J. Godwin, P. Stenetorp, and S. Riedel.
Regularizing Relation Representations by First-order Implications.(2016)
T. Demeester, T. Rocktäschel, and S. Riedel. The Association for Computer Linguistics
Lifted Rule Injection for Relation Embeddings.(2016)
T. Demeester, T. Rocktäschel, and S. Riedel.
Programming with a Differentiable Forth Interpreter.(2016)
S. Riedel, M. Bosnjak, and T. Rocktäschel.
Represent, Aggregate, and Constrain: A Novel Architecture for Machine Reading from Noisy Sources.(2016)
J. Naradowsky, and S. Riedel.
Numerically Grounded Language Models for Semantic Error Correction.(2016)
G. Spithourakis, I. Augenstein, and S. Riedel.
SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods.(2016)
M. Saeidi, G. Bouchard, M. Liakata, and S. Riedel.
Learning to Generate Textual Data.(2016)
G. Bouchard, P. Stenetorp, and S. Riedel. The Association for Computational Linguistics
Defining Words with Words: Beyond the Distributional Hypothesis.(2016)
I. Parasca, A. Rauter, J. Roper, A. Rusinov, G. Bouchard, S. Riedel, and P. Stenetorp. Association for Computational Linguistics
Generating Natural Language Inference Chains.(2016)
V. Kolesnyk, T. Rocktäschel, and S. Riedel.
Learning to Reason With Adaptive Computation.(2016)
M. Neumann, P. Stenetorp, and S. Riedel.
Learning Knowledge Base Inference with Neural Theorem Provers.(2016)
T. Rocktäschel, and S. Riedel. The Association for Computer Linguistics
emoji2vec: Learning Emoji Representations from their Description.(2016)
B. Eisner, T. Rocktäschel, I. Augenstein, M. Bosnjak, and S. Riedel.
Complex Embeddings for Simple Link Prediction.(2016)
T. Trouillon, J. Welbl, S. Riedel, É. Gaussier, and G. Bouchard.
A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion.(2016)
J. Welbl, G. Bouchard, and S. Riedel.
Creating Interactive and Visual Educational Resources for AI.(2016)
S. Singh, and S. Riedel. AAAI Press
Clinical Text Prediction with Numerically Grounded Conditional Language Models.(2016)
G. Spithourakis, S. Petersen, and S. Riedel.
Learning Python Code Suggestion with a Sparse Pointer Network.(2016)
A. Bhoopchand, T. Rocktäschel, E. Barr, and S. Riedel.
Neural Architectures for Fine-grained Entity Type Classification.(2016)
S. Shimaoka, P. Stenetorp, K. Inui, and S. Riedel.
An Attentive Neural Architecture for Fine-grained Entity Type Classification.(2016)
S. Shimaoka, P. Stenetorp, K. Inui, and S. Riedel.
Extracting Interpretable Models from Matrix Factorization Models.(2015)
I. Carmona, and S. Riedel. CEUR-WS.org
Matrix and Tensor Factorization Methods for Natural Language Processing.(2015)
G. Bouchard, J. Naradowsky, S. Riedel, T. Rocktäschel, and A. Vlachos. The Association for Computer Linguistics
WOLFE: An NLP-friendly Declarative Machine Learning Stack.(2015)
S. Singh, T. Rocktäschel, L. Hewitt, J. Naradowsky, and S. Riedel. The Association for Computational Linguistics
Identification and Verification of Simple Claims about Statistical Properties.(2015)
A. Vlachos, and S. Riedel. The Association for Computational Linguistics
Towards Two-Way Interaction with Reading Machines.(2015)
S. Riedel, S. Singh, G. Bouchard, T. Rocktäschel, and V. Carmona. Springer
Extraction of evidence tables from abstracts of randomized clinical trials using a maximum entropy classifier and global constraints.(2015)
A. Trenta, A. Hunter, and S. Riedel.
Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction.(2015)
S. Singh, T. Rocktäschel, and S. Riedel. The Association for Computational Linguistics
Lower Dimensional Representations of City Neighbourhoods.(2015)
M. Saeidi, S. Riedel, and L. Capra. AAAI Press
Injecting Logical Background Knowledge into Embeddings for Relation Extraction.(2015)
T. Rocktäschel, S. Singh, and S. Riedel. The Association for Computational Linguistics
Towards Extracting Faithful and Descriptive Representations of Latent Variable Models.(2015)
V. Carmona, T. Rocktäschel, S. Riedel, and S. Singh. AAAI Press
Message Passing for Soft Constraint Dual Decomposition.(2014)
D. Belanger, A. Passos, S. Riedel, and A. McCallum. AUAI Press
WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming.(2014)
S. Riedel, S. Singh, V. Srikumar, T. Rocktäschel, L. Visengeriyeva, and J. Noessner. AAAI
Fact Checking: Task definition and dataset construction(2014)
A. Vlachos, and S. Riedel.
Relation extraction with matrix factorization and universal schemas(2013)
S. Riedel, L. Yao, B. Marlin, and A. McCallum.
Automorphism Groups of Graphical Models and Lifted Variational Inference.(2013)
H. Bui, T. Huynh, and S. Riedel. AUAI Press
AKBC 2013: third workshop on automated knowledge base construction.(2013)
F. Suchanek, S. Riedel, S. Singh, and P. Talukdar. ACM
Anytime Belief Propagation Using Sparse Domains.(2013)
S. Singh, S. Riedel, and A. McCallum.
Universal schema for entity type prediction.(2013)
L. Yao, S. Riedel, and A. McCallum. ACM
Joint inference of entities, relations, and coreference.(2013)
S. Singh, S. Riedel, B. Martin, J. Zheng, and A. McCallum. ACM
Automorphism Groups of Graphical Models and Lifted Variational Inference(2012)
H. Bui, T. Huynh, and S. Riedel.
Probabilistic Databases of Universal Schema.(2012)
L. Yao, S. Riedel, and A. McCallum. Association for Computational Linguistics
MAP Inference in Chains using Column Generation.(2012)
D. Belanger, A. Passos, S. Riedel, and A. McCallum.
Parse, Price and Cut--Delayed Column and Row Generation for Graph Based Parsers(2012)
S. Riedel, D. Smith, and A. McCallum.
Improving the Accuracy and Efficiency of MAP Inference for Markov Logic(2012)
S. Riedel.
Improving NLP through Marginalization of Hidden Syntactic Structure.(2012)
J. Naradowsky, S. Riedel, and D. Smith. ACL
Inference by Minimizing Size, Divergence, or their Sum(2012)
S. Riedel, D. Smith, and A. McCallum.
Combining joint models for biomedical event extraction.(2012)
D. McClosky, S. Riedel, M. Surdeanu, A. McCallum, and C. Manning.
Unsupervised Relation Discovery with Sense Disambiguation.(2012)
L. Yao, S. Riedel, and A. McCallum. The Association for Computer Linguistics
Fast and Robust Joint Models for Biomedical Event Extraction(2011)
S. Riedel, and A. McCallum.
Coreference based event-argument relation extraction on biomedical text.(2011)
K. Yoshikawa, S. Riedel, T. Hirao, M. Asahara, and Y. Matsumoto.
Structured Relation Discovery using Generative Models.(2011)
L. Yao, A. Haghighi, S. Riedel, and A. McCallum. ACL
Model Combination for Event Extraction in BioNLP 2011.(2011)
S. Riedel, D. McClosky, M. Surdeanu, A. McCallum, and C. Manning. Association for Computational Linguistics
Bio-molecular Event Extraction with Markov Logic.(2011)
S. Riedel, R. Sætre, H. Chun, T. Takagi, and J. Tsujii.
U-Compare bio-event meta-service: compatible BioNLP event extraction services.(2011)
Y. Kano, J. Björne, F. Ginter, T. Salakoski, E. Buyko, U. Hahn, K. Cohen, K. Verspoor, C. Roeder, L. Hunter, H. Kilicoglu, S. Bergler, S. Landeghem, T. Parys, Y. de Peer, M. Miwa, S. Ananiadou, M. Neves, A. Pascual-Montano, A. Özgür, D. Radev, S. Riedel, R. Sætre, H. Chun, J. Kim, S. Pyysalo, T. Ohta, and J. Tsujii.
Knowledge-leveraged Computational Thinking through Natural Language Processing and Statistical Logic (NII Shonan Meeting 2011-4).(2011)
S. Kurohashi, A. Yamamoto, K. Inui, and S. Riedel.
Robust Biomedical Event Extraction with Dual Decomposition and Minimal Domain Adaptation.(2011)
S. Riedel, and A. McCallum. Association for Computational Linguistics
Inference by Minimizing Size, Divergence, or their Sum.(2010)
S. Riedel, D. Smith, and A. McCallum. AUAI Press
Declarative Probabilistic Programming for Undirected Graphical Models: Open Up to Scale Up.(2010)
S. Riedel. AAAI
Collective Cross-Document Relation Extraction Without Labelled Data.(2010)
L. Yao, S. Riedel, and A. McCallum. ACL
Coreference based event-argument relation extraction on biomedical text.(2010)
K. Yoshikawa, S. Riedel, T. Hirao, M. Asahara, and Y. Matsumoto. CEUR-WS.org
Constraint-Driven Rank-Based Learning for Information Extraction.(2010)
S. Singh, L. Yao, S. Riedel, and A. McCallum. The Association for Computational Linguistics
Relaxed Marginal Inference and its Application to Dependency Parsing.(2010)
S. Riedel, and D. Smith. The Association for Computational Linguistics
Modeling relations and their mentions without labeled text(2010)
S. Riedel, L. Yao, and A. McCallum. Springer-Verlag
Revisiting Optimal Decoding for Machine Translation IBM Model 4.(2009)
S. Riedel, and J. Clarke. The Association for Computational Linguistics
Jointly Identifying Temporal Relations with Markov Logic(2009)
K. Yoshikawa, S. Riedel, M. Asahara, and Y. Matsumoto.
Jointly Identifying Predicates, Arguments and Senses using Markov Logic.(2009)
I. Meza-Ruíz, and S. Riedel. The Association for Computational Linguistics
Multilingual Semantic Role Labelling with Markov Logic.(2009)
I. Meza-Ruíz, and S. Riedel. ACL
A Markov Logic Approach to Bio-Molecular Event Extraction(2009)
S. Riedel, H. Chun, T. Takagi, and J. Tsujii. Association for Computational Linguistics
Improving the Accuracy and Efficiency of MAP Inference for Markov Logic.(2008)
S. Riedel. AUAI Press
Collective Semantic Role Labelling with Markov Logic.(2008)
S. Riedel, and I. Meza-Ruíz. ACL
Accurate statistical spoken language understanding from limited development resources.(2008)
I. Meza-Ruíz, S. Riedel, and O. Lemon. IEEE
Incremental Integer Linear Programming for Non-projective Dependency Parsing(2006)
S. Riedel, and J. Clarke.
Multi-lingual Dependency Parsing with Incremental Integer Linear Programming.(2006)
S. Riedel, R. Çakici, and I. Meza-Ruíz. ACL

Other Publications of same named Authors
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Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks(2020)
P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W. Yih, T. Rocktäschel, S. Riedel, and D. Kiela.
Learning Reasoning Strategies in End-to-End Differentiable Proving.(2020)
P. Minervini, S. Riedel, P. Stenetorp, E. Grefenstette, and T. Rocktäschel.
Towards Machine Learning-Based Meta-Studies: Applications to Cosmological Parameters(2021)
T. Crossland, P. Stenetorp, D. Kawata, S. Riedel, T. Kitching, A. Deshpande, T. Kimpson, C. Liew-Cain, C. Pedersen, D. Piras, and M. Sharma.
Complex Embeddings for Simple Link Prediction(2016)
T. Trouillon, J. Welbl, S. Riedel, E. Gaussier, and G. Bouchard. PMLR
Complex embeddings for simple link prediction(2016)
T. Trouillon, J. Welbl, S. Riedel, E. Gaussier, and G. Bouchard.
MLQA: Evaluating Cross-lingual Extractive Question Answering(2019)
P. Lewis, B. Oğuz, R. Rinott, S. Riedel, and H. Schwenk.
Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering.(2020)
Y. Wu, S. Riedel, P. Minervini, and P. Stenetorp. Association for Computational Linguistics
Scalable Zero-shot Entity Linking with Dense Entity Retrieval.(2020)
L. Wu, F. Petroni, M. Josifoski, S. Riedel, and L. Zettlemoyer. Association for Computational Linguistics
Generating Fact Checking Briefs.(2020)
A. Fan, A. Piktus, F. Petroni, G. Wenzek, M. Saeidi, A. Vlachos, A. Bordes, and S. Riedel. Association for Computational Linguistics
AxCell: Automatic Extraction of Results from Machine Learning Papers.(2020)
M. Kardas, P. Czapla, P. Stenetorp, S. Ruder, S. Riedel, R. Taylor, and R. Stojnic. Association for Computational Linguistics
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training.(2020)
J. Stacey, P. Minervini, H. Dubossarsky, S. Riedel, and T. Rocktäschel. Association for Computational Linguistics
Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets.(2020)
P. Lewis, P. Stenetorp, and S. Riedel.
KILT: a Benchmark for Knowledge Intensive Language Tasks.(2020)
F. Petroni, A. Piktus, A. Fan, P. Lewis, M. Yazdani, N. Cao, J. Thorne, Y. Jernite, V. Plachouras, T. Rocktäschel, and S. Riedel.
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.(2020)
W. Xiong, X. Li, S. Iyer, J. Du, P. Lewis, W. Wang, Y. Mehdad, W. tau Yih, S. Riedel, D. Kiela, and B. Oguz.
How Decoding Strategies Affect the Verifiability of Generated Text.(2020)
L. Massarelli, F. Petroni, A. Piktus, M. Ott, T. Rocktäschel, V. Plachouras, F. Silvestri, and S. Riedel. Association for Computational Linguistics
Generating Fact Checking Briefs.(2020)
A. Fan, A. Piktus, F. Petroni, G. Wenzek, M. Saeidi, A. Vlachos, A. Bordes, and S. Riedel.
Undersensitivity in Neural Reading Comprehension.(2020)
J. Welbl, P. Minervini, M. Bartolo, P. Stenetorp, and S. Riedel. Association for Computational Linguistics
Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering.(2020)
Y. Wu, S. Riedel, P. Minervini, and P. Stenetorp.
Proactive Action Visual Residual Reinforcement Learning for Contact-Rich Tasks Using a Torque-Controlled Robot.(2020)
Y. Shi, Z. Chen, H. Liu, S. Riedel, C. Gao, Q. Feng, J. Deng, and J. Zhang.
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks(2020)
P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W. Yih, T. Rocktäschel, S. Riedel, and D. Kiela.
Towards Autonomous Planetary Exploration - The Lightweight Rover Unit (LRU), its Success in the SpaceBotCamp Challenge, and Beyond.(2019)
M. Schuster, S. Brunner, K. Bussmann, S. Büttner, A. Dömel, M. Hellerer, H. Lehner, P. Lehner, O. Porges, J. Reill, S. Riedel, M. Vayugundla, B. Vodermayer, T. Bodenmüller, C. Brand, W. Friedl, I. Grixa, H. Hirschmüller, M. Kassecker, Z. Marton, C. Nissler, F. Ruess, M. Suppa, and A. Wedler.
Neural Databases.(2020)
J. Thorne, M. Yazdani, M. Saeidi, F. Silvestri, S. Riedel, and A. Halevy.
Autoregressive Entity Retrieval.(2020)
N. Cao, G. Izacard, S. Riedel, and F. Petroni.
Language models as knowledge bases?(2019)
F. Petroni, T. Rocktäschel, P. Lewis, A. Bakhtin, Y. Wu, A. Miller, and S. Riedel.
Learning Reasoning Strategies in End-to-End Differentiable Proving.(2020)
P. Minervini, S. Riedel, P. Stenetorp, E. Grefenstette, and T. Rocktäschel.
MLQA: Evaluating Cross-lingual Extractive Question Answering.(2020)
P. Lewis, B. Oguz, R. Rinott, S. Riedel, and H. Schwenk. Association for Computational Linguistics
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data.(2020)
P. Yin, G. Neubig, W. tau Yih, and S. Riedel. Association for Computational Linguistics
Concept Matching for Low-Resource Classification.(2020)
F. Errica, L. Denoyer, B. Edizel, F. Petroni, V. Plachouras, F. Silvestri, and S. Riedel.
Differentiable Reasoning on Large Knowledge Bases and Natural Language.(2020)
P. Minervini, M. Bosnjak, T. Rocktäschel, S. Riedel, and E. Grefenstette. AAAI Press
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.(2020)
P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W. tau Yih, T. Rocktäschel, S. Riedel, and D. Kiela.
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data.(2020)
P. Yin, G. Neubig, W. tau Yih, and S. Riedel.
Differentiable Reasoning on Large Knowledge Bases and Natural Language.(2020)
P. Minervini, M. Bosnjak, T. Rocktäschel, S. Riedel, and E. Grefenstette. IOS Press
How Context Affects Language Models' Factual Predictions.(2020)
F. Petroni, P. Lewis, A. Piktus, T. Rocktäschel, Y. Wu, A. Miller, and S. Riedel.