Multi-lingual Dependency Parsing with Incremental Integer Linear Programming. - Sebastian Riedel 001; Ruket Çakici; Iván V. Meza-Ruíz (CoNLL, 2006)

Incremental Integer Linear Programming for Non-projective Dependency Parsing. - Sebastian Riedel 001; James Clarke (EMNLP, 2006)

The CoNLL 2007 Shared Task on Dependency Parsing. - Joakim Nivre; Johan Hall; Sandra Kübler; Ryan T. McDonald; Jens Nilsson 001; Sebastian Riedel 001; Deniz Yuret (EMNLP-CoNLL, 2007)

Collective Semantic Role Labelling with Markov Logic. - Sebastian Riedel 001; Iván V. Meza-Ruíz (CoNLL, 2008)

Accurate statistical spoken language understanding from limited development resources. - Iván V. Meza-Ruíz; Sebastian Riedel 001; Oliver Lemon (ICASSP, 2008)

Improving the Accuracy and Efficiency of MAP Inference for Markov Logic. - Sebastian Riedel 001 (UAI, 2008)

Jointly Identifying Temporal Relations with Markov Logic. - Katsumasa Yoshikawa; Sebastian Riedel 001; Masayuki Asahara; Yuji Matsumoto 001 (ACL/IJCNLP, 2009)

A Markov Logic Approach to Bio-Molecular Event Extraction. - Sebastian Riedel 001; Hong-Woo Chun; Toshihisa Takagi; Jun'ichi Tsujii (BioNLP@HLT-NAACL (Shared Task), 2009)

Multilingual Semantic Role Labelling with Markov Logic. - Iván V. Meza-Ruíz; Sebastian Riedel 001 (CoNLL Shared Task, 2009)

Cutting Plane MAP Inference for Markov Logic. - Sebastian Riedel 001 (MLG/SRL@ILP, 2009)

Jointly Identifying Predicates, Arguments and Senses using Markov Logic. - Iván V. Meza-Ruíz; Sebastian Riedel 001 (HLT-NAACL, 2009)

Revisiting Optimal Decoding for Machine Translation IBM Model 4. - Sebastian Riedel 001; James Clarke (HLT-NAACL (Short Papers), 2009)

Efficient prediction of relational structure and its application to natural language processing. - Sebastian Riedel 001 (2009)

Declarative Probabilistic Programming for Undirected Graphical Models: Open Up to Scale Up. - Sebastian Riedel 001 (StarAI@AAAI, 2010)

Collective Cross-Document Relation Extraction Without Labelled Data. - Limin Yao; Sebastian Riedel 001; Andrew McCallum (EMNLP, 2010)

Relaxed Marginal Inference and its Application to Dependency Parsing. - Sebastian Riedel 001; David A. Smith (HLT-NAACL, 2010)

Constraint-Driven Rank-Based Learning for Information Extraction. - Sameer Singh 001; Limin Yao; Sebastian Riedel 001; Andrew McCallum (HLT-NAACL, 2010)

Modeling Relations and Their Mentions without Labeled Text. - Sebastian Riedel 001; Limin Yao; Andrew McCallum (ECML/PKDD (3), 2010)

Inference by Minimizing Size, Divergence, or their Sum. - Sebastian Riedel 001; David A. Smith; Andrew McCallum (UAI, 2010)

Robust Biomedical Event Extraction with Dual Decomposition and Minimal Domain Adaptation. - Sebastian Riedel 001; Andrew McCallum (BioNLP@ACL (Shared Task), 2011)

Model Combination for Event Extraction in BioNLP 2011. - Sebastian Riedel 001; David McClosky; Mihai Surdeanu; Andrew McCallum; Christopher D. Manning (BioNLP@ACL (Shared Task), 2011)

Fast and Robust Joint Models for Biomedical Event Extraction. - Sebastian Riedel 001; Andrew McCallum (EMNLP, 2011)

Structured Relation Discovery using Generative Models. - Limin Yao; Aria Haghighi; Sebastian Riedel 001; Andrew McCallum (EMNLP, 2011)

Coreference based event-argument relation extraction on biomedical text. - Katsumasa Yoshikawa; Sebastian Riedel 001; Tsutomu Hirao; Masayuki Asahara; Yuji Matsumoto 001 (J. Biomed. Semant., 2011)

U-Compare bio-event meta-service: compatible BioNLP event extraction services. - Yoshinobu Kano; Jari Björne; Filip Ginter; Tapio Salakoski; Ekaterina Buyko; Udo Hahn; K. Bretonnel Cohen; Karin Verspoor; Christophe Roeder; Lawrence E. Hunter; Halil Kilicoglu; Sabine Bergler; et al. (BMC Bioinform., 2011)

Bio-molecular Event Extraction with Markov Logic. - Sebastian Riedel 001; Rune Sætre; Hong-Woo Chun; Toshihisa Takagi; Jun'ichi Tsujii (Comput. Intell., 2011)

Knowledge-leveraged Computational Thinking through Natural Language Processing and Statistical Logic (NII Shonan Meeting 2011-4). - Sadao Kurohashi; Akihiro Yamamoto; Kentaro Inui; Sebastian Riedel 001 (NII Shonan Meet. Rep., 2011)

Unsupervised Relation Discovery with Sense Disambiguation. - Limin Yao; Sebastian Riedel 001; Andrew McCallum (ACL (1), 2012)

Improving NLP through Marginalization of Hidden Syntactic Structure. - Jason Naradowsky; Sebastian Riedel 001; David A. Smith (EMNLP-CoNLL, 2012)

Parse, Price and Cut–Delayed Column and Row Generation for Graph Based Parsers. - Sebastian Riedel 001; David A. Smith; Andrew McCallum (EMNLP-CoNLL, 2012)

Probabilistic Databases of Universal Schema. - Limin Yao; Sebastian Riedel 001; Andrew McCallum (AKBC-WEKEX@NAACL-HLT, 2012)

MAP Inference in Chains using Column Generation. - David Belanger 002; Alexandre Passos; Sebastian Riedel 001; Andrew McCallum (NIPS, 2012)

Combining joint models for biomedical event extraction. - David McClosky; Sebastian Riedel 001; Mihai Surdeanu; Andrew McCallum; Christopher D. Manning (BMC Bioinform., 2012)

Joint inference of entities, relations, and coreference. - Sameer Singh 001; Sebastian Riedel 001; Brian Martin; Jiaping Zheng; Andrew McCallum (AKBC@CIKM, 2013)

AKBC 2013: third workshop on automated knowledge base construction. - Fabian M. Suchanek; Sebastian Riedel 001; Sameer Singh 001; Partha Pratim Talukdar (CIKM, 2013)

Universal schema for entity type prediction. - Limin Yao; Sebastian Riedel 001; Andrew McCallum (AKBC@CIKM, 2013)

Relation Extraction with Matrix Factorization and Universal Schemas. - Sebastian Riedel 001; Limin Yao; Andrew McCallum; Benjamin M. Marlin (HLT-NAACL, 2013)

Automorphism Groups of Graphical Models and Lifted Variational Inference. - Hung Bui 001; Tuyen N. Huynh; Sebastian Riedel 001 (UAI, 2013)

Anytime Belief Propagation Using Sparse Domains. - Sameer Singh 001; Sebastian Riedel 001; Andrew McCallum (CoRR, 2013)

Latent Relation Representations for Universal Schemas - Sebastian Riedel 001; Limin Yao; Andrew McCallum (ICLR (Workshop Poster), 2013)

WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming. - Sebastian Riedel 001; Sameer Singh 001; Vivek Srikumar; Tim Rocktäschel; Larysa Visengeriyeva; Jan Noessner (StarAI@AAAI, 2014)

Fact Checking: Task definition and dataset construction. - Andreas Vlachos 001; Sebastian Riedel 001 (LTCSS@ACL, 2014)

Message Passing for Soft Constraint Dual Decomposition. - David Belanger 002; Alexandre Passos; Sebastian Riedel 001; Andrew McCallum (UAI, 2014)

Lower Dimensional Representations of City Neighbourhoods. - Marzieh Saeidi; Sebastian Riedel 001; Licia Capra (AAAI Workshop: AI for Cities, 2015)

Towards Extracting Faithful and Descriptive Representations of Latent Variable Models. - Vicente Iván Sánchez Carmona; Tim Rocktäschel; Sebastian Riedel 001; Sameer Singh 001 (AAAI Spring Symposia, 2015)

Matrix and Tensor Factorization Methods for Natural Language Processing. - Guillaume Bouchard; Jason Naradowsky; Sebastian Riedel 001; Tim Rocktäschel; Andreas Vlachos 001 (ACL (Tutorial Abstracts), 2015)

Identification and Verification of Simple Claims about Statistical Properties. - Andreas Vlachos 001; Sebastian Riedel 001 (EMNLP, 2015)

Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction. - Sameer Singh 001; Tim Rocktäschel; Sebastian Riedel 001 (VS@HLT-NAACL, 2015)

Injecting Logical Background Knowledge into Embeddings for Relation Extraction. - Tim Rocktäschel; Sameer Singh 001; Sebastian Riedel 001 (HLT-NAACL, 2015)

WOLFE: An NLP-friendly Declarative Machine Learning Stack. - Sameer Singh 001; Tim Rocktäschel; Luke Hewitt; Jason Naradowsky; Sebastian Riedel 001 (HLT-NAACL, 2015)

Extracting Interpretable Models from Matrix Factorization Models. - Iván Sánchez Carmona; Sebastian Riedel 001 (CoCo@NIPS, 2015)

Invited Talk: Embedding Probabilistic Logic for Machine Reading. - Sebastian Riedel 001 (NODALIDA, 2015)

Towards Two-Way Interaction with Reading Machines. - Sebastian Riedel 001; Sameer Singh 001; Guillaume Bouchard; Tim Rocktäschel; Vicente Iván Sánchez Carmona (SLSP, 2015)

Extraction of evidence tables from abstracts of randomized clinical trials using a maximum entropy classifier and global constraints. - Antonio Trenta; Anthony Hunter; Sebastian Riedel 001 (CoRR, 2015)

Creating Interactive and Visual Educational Resources for AI. - Sameer Singh 001; Sebastian Riedel 001 (AAAI, 2016)

Clinical Text Prediction with Numerically Grounded Conditional Language Models. - Georgios P. Spithourakis; Steffen E. Petersen; Sebastian Riedel 001 (Louhi@EMNLP, 2016)

emoji2vec: Learning Emoji Representations from their Description. - Ben Eisner; Tim Rocktäschel; Isabelle Augenstein; Matko Bosnjak; Sebastian Riedel 001 (SocialNLP@EMNLP, 2016)

Regularizing Relation Representations by First-order Implications. - Thomas Demeester; Tim Rocktäschel; Sebastian Riedel 001 (AKBC@NAACL-HLT, 2016)

Learning Knowledge Base Inference with Neural Theorem Provers. - Tim Rocktäschel; Sebastian Riedel 001 (AKBC@NAACL-HLT, 2016)

An Attentive Neural Architecture for Fine-grained Entity Type Classification. - Sonse Shimaoka; Pontus Stenetorp; Kentaro Inui; Sebastian Riedel 001 (AKBC@NAACL-HLT, 2016)

A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion. - Johannes Welbl; Guillaume Bouchard; Sebastian Riedel 001 (AKBC@NAACL-HLT, 2016)

SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods. - Marzieh Saeidi; Guillaume Bouchard; Maria Liakata; Sebastian Riedel 001 (COLING, 2016)

Learning to Generate Textual Data. - Guillaume Bouchard; Pontus Stenetorp; Sebastian Riedel 001 (EMNLP, 2016)

Lifted Rule Injection for Relation Embeddings. - Thomas Demeester; Tim Rocktäschel; Sebastian Riedel 001 (EMNLP, 2016)

Numerically Grounded Language Models for Semantic Error Correction. - Georgios P. Spithourakis; Isabelle Augenstein; Sebastian Riedel 001 (EMNLP, 2016)

Complex Embeddings for Simple Link Prediction. - Théo Trouillon; Johannes Welbl; Sebastian Riedel 001; Éric Gaussier; Guillaume Bouchard (ICML, 2016)

Defining Words with Words: Beyond the Distributional Hypothesis. - Iuliana-Elena Parasca; Andreas Lukas Rauter; Jack Roper; Aleksandar Rusinov; Guillaume Bouchard; Sebastian Riedel 001; Pontus Stenetorp (RepEval@ACL, 2016)

Learning Python Code Suggestion with a Sparse Pointer Network. - Avishkar Bhoopchand; Tim Rocktäschel; Earl T. Barr; Sebastian Riedel 001 (CoRR, 2016)

Deep Semi-Supervised Learning with Linguistically Motivated Sequence Labeling Task Hierarchies. - Jonathan Godwin; Pontus Stenetorp; Sebastian Riedel 001 (CoRR, 2016)

Generating Natural Language Inference Chains. - Vladyslav Kolesnyk; Tim Rocktäschel; Sebastian Riedel 001 (CoRR, 2016)

Represent, Aggregate, and Constrain: A Novel Architecture for Machine Reading from Noisy Sources. - Jason Naradowsky; Sebastian Riedel 001 (CoRR, 2016)

Learning to Reason With Adaptive Computation. - Mark Neumann; Pontus Stenetorp; Sebastian Riedel 001 (CoRR, 2016)

Programming with a Differentiable Forth Interpreter. - Sebastian Riedel 001; Matko Bosnjak; Tim Rocktäschel (CoRR, 2016)

A Supervised Approach to Extractive Summarisation of Scientific Papers. - Ed Collins; Isabelle Augenstein; Sebastian Riedel 001 (CoNLL, 2017)

Neural Architectures for Fine-grained Entity Type Classification. - Sonse Shimaoka; Pontus Stenetorp; Kentaro Inui; Sebastian Riedel 001 (EACL (1), 2017)

The SUMMA Platform Prototype. - Renars Liepins; Ulrich Germann; Guntis Barzdins; Alexandra Birch; Steve Renals; Susanne Weber; Peggy van der Kreeft; Hervé Bourlard; João Prieto; Ondrej Klejch; Peter Bell 001; Alexandros Lazaridis; et al. (EACL (Software Demonstrations), 2017)

How Well Can We Predict Hypernyms from Word Embeddings? A Dataset-Centric Analysis. - Vicente Iván Sánchez Carmona; Sebastian Riedel 001 (EACL (2), 2017)

Frustratingly Short Attention Spans in Neural Language Modeling. - Michal Daniluk; Tim Rocktäschel; Johannes Welbl; Sebastian Riedel 001 (ICLR (Poster), 2017)

Programming with a Differentiable Forth Interpreter. - Matko Bosnjak; Tim Rocktäschel; Jason Naradowsky; Sebastian Riedel 001 (ICML, 2017)

End-to-end Differentiable Proving. - Tim Rocktäschel; Sebastian Riedel 001 (NIPS, 2017)

SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications. - Isabelle Augenstein; Mrinal Das; Sebastian Riedel 001; Lakshmi Vikraman; Andrew McCallum (SemEval@ACL, 2017)

Adversarial Sets for Regularising Neural Link Predictors. - Pasquale Minervini; Thomas Demeester; Tim Rocktäschel; Sebastian Riedel 001 (UAI, 2017)

A simple but tough-to-beat baseline for the Fake News Challenge stance detection task. - Benjamin Riedel 001; Isabelle Augenstein; Georgios P. Spithourakis; Sebastian Riedel 001 (CoRR, 2017)

Community Question Answering Platforms vs. Twitter for Predicting Characteristics of Urban Neighbourhoods. - Marzieh Saeidi; Alessandro Venerandi; Licia Capra; Sebastian Riedel 001 (CoRR, 2017)

Knowledge Graph Completion via Complex Tensor Factorization. - Théo Trouillon; Christopher R. Dance; Éric Gaussier; Johannes Welbl; Sebastian Riedel 001; Guillaume Bouchard (J. Mach. Learn. Res., 2017)

Convolutional 2D Knowledge Graph Embeddings. - Tim Dettmers; Pasquale Minervini; Pontus Stenetorp; Sebastian Riedel 001 (AAAI, 2018)

Zero-Shot Transfer Learning for Event Extraction. - Lifu Huang; Heng Ji 001; Kyunghyun Cho; Ido Dagan; Sebastian Riedel 001; Clare R. Voss (ACL (1), 2018)

Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers. - Georgios P. Spithourakis; Sebastian Riedel 001 (ACL (1), 2018)

Jack the Reader - A Machine Reading Framework. - Dirk Weissenborn; Pasquale Minervini; Isabelle Augenstein; Johannes Welbl; Tim Rocktäschel; Matko Bosnjak; Jeff Mitchell 001; Thomas Demeester; Tim Dettmers; Pontus Stenetorp; Sebastian Riedel 001 (ACL (4), 2018)

Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge. - Pasquale Minervini; Sebastian Riedel 001 (CoNLL, 2018)

Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection. - Sudhanshu Kasewa; Pontus Stenetorp; Sebastian Riedel 001 (EMNLP, 2018)

Interpretation of Natural Language Rules in Conversational Machine Reading. - Marzieh Saeidi; Max Bartolo; Patrick Lewis 001; Sameer Singh 001; Tim Rocktäschel; Mike Sheldon; Guillaume Bouchard; Sebastian Riedel 001 (EMNLP, 2018)

UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF). - Takuma Yoneda; Jeff Mitchell 001; Johannes Welbl; Pontus Stenetorp; Sebastian Riedel 001 (FEVER@EMNLP, 2018)

Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness. - Vicente Iván Sánchez Carmona; Jeff Mitchell 001; Sebastian Riedel 001 (NAACL-HLT, 2018)

Question Answering Resources Applied to Slot-Filling. - Jeff Mitchell 001; Sebastian Riedel 001 (CoRR, 2018)

Extrapolation in NLP. - Jeff Mitchell 001; Pasquale Minervini; Pontus Stenetorp; Sebastian Riedel 001 (CoRR, 2018)

Towards Neural Theorem Proving at Scale. - Pasquale Minervini; Matko Bosnjak; Tim Rocktäschel; Sebastian Riedel 001 (CoRR, 2018)

Logical Rule Induction and Theory Learning Using Neural Theorem Proving. - Andres Campero; Aldo Pareja; Tim Klinger; Josh Tenenbaum 001; Sebastian Riedel 001 (CoRR, 2018)

Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data. - Spiros C. Denaxas; Pontus Stenetorp; Sebastian Riedel 001; Maria Pikoula; Richard J. B. Dobson; Harry Hemingway (CoRR, 2018)

Towards automated clinical coding. - Finneas Catling; Georgios P. Spithourakis; Sebastian Riedel 001 (Int. J. Medical Informatics, 2018)

Constructing Datasets for Multi-hop Reading Comprehension Across Documents. - Johannes Welbl; Pontus Stenetorp; Sebastian Riedel 001 (Trans. Assoc. Comput. Linguistics, 2018)

Unsupervised Question Answering by Cloze Translation. - Patrick Lewis 001; Ludovic Denoyer; Sebastian Riedel 001 (ACL (1), 2019)

Language Models as Knowledge Bases? - Fabio Petroni; Tim Rocktäschel; Sebastian Riedel 001; Patrick Lewis 001; Anton Bakhtin; Yuxiang Wu; Alexander H. Miller (EMNLP/IJCNLP (1), 2019)

Evaluating Rewards for Question Generation Models. - Tom Hosking; Sebastian Riedel 001 (NAACL-HLT (1), 2019)

Neural Variational Inference For Estimating Knowledge Graph Embedding Uncertainty. - Alexander I. Cowen-Rivers; Pasquale Minervini; Sebastian Riedel 001; Tim Rocktäschel; Jun Wang 012; Matko Bosnjak (NeSy@IJCAI, 2019)

Towards Machine-assisted Meta-Studies: The Hubble Constant. - Tom Crossland; Pontus Stenetorp; Sebastian Riedel 001; Daisuke Kawata; Thomas D. Kitching; Rupert Croft (CoRR, 2019)

Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings. - Alexander I. Cowen-Rivers; Pasquale Minervini; Tim Rocktäschel; Matko Bosnjak; Sebastian Riedel 001; Jun Wang 012 (CoRR, 2019)

MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions. - Viswanath Sivakumar; Tim Rocktäschel; Alexander H. Miller; Heinrich Küttler; Nantas Nardelli; Mike Rabbat; Joelle Pineau; Sebastian Riedel 001 (CoRR, 2019)

Zero-shot Entity Linking with Dense Entity Retrieval. - Ledell Wu; Fabio Petroni; Martin Josifoski; Sebastian Riedel 001; Luke Zettlemoyer (CoRR, 2019)

Differentiable Reasoning on Large Knowledge Bases and Natural Language. - Pasquale Minervini; Matko Bosnjak; Tim Rocktäschel; Sebastian Riedel 001; Edward Grefenstette (AAAI, 2020)

MLQA: Evaluating Cross-lingual Extractive Question Answering. - Patrick Lewis 001; Barlas Oguz; Ruty Rinott; Sebastian Riedel 001; Holger Schwenk (ACL, 2020)

TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. - Pengcheng Yin; Graham Neubig; Wen-tau Yih; Sebastian Riedel 001 (ACL, 2020)

How Context Affects Language Models' Factual Predictions. - Fabio Petroni; Patrick Lewis 001; Aleksandra Piktus; Tim Rocktäschel; Yuxiang Wu; Alexander H. Miller; Sebastian Riedel 001 (AKBC, 2020)

Generating Fact Checking Briefs. - Angela Fan; Aleksandra Piktus; Fabio Petroni; Guillaume Wenzek; Marzieh Saeidi; Andreas Vlachos 001; Antoine Bordes; Sebastian Riedel 001 (EMNLP (1), 2020)

AxCell: Automatic Extraction of Results from Machine Learning Papers. - Marcin Kardas; Piotr Czapla; Pontus Stenetorp; Sebastian Ruder; Sebastian Riedel 001; Ross Taylor; Robert Stojnic (EMNLP (1), 2020)

How Decoding Strategies Affect the Verifiability of Generated Text. - Luca Massarelli; Fabio Petroni; Aleksandra Piktus; Myle Ott; Tim Rocktäschel; Vassilis Plachouras; Fabrizio Silvestri; Sebastian Riedel 001 (EMNLP (Findings), 2020)

Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. - Joe Stacey; Pasquale Minervini; Haim Dubossarsky; Sebastian Riedel 001; Tim Rocktäschel (EMNLP (1), 2020)

Undersensitivity in Neural Reading Comprehension. - Johannes Welbl; Pasquale Minervini; Max Bartolo; Pontus Stenetorp; Sebastian Riedel 001 (EMNLP (Findings), 2020)

Scalable Zero-shot Entity Linking with Dense Entity Retrieval. - Ledell Wu; Fabio Petroni; Martin Josifoski; Sebastian Riedel 001; Luke Zettlemoyer (EMNLP (1), 2020)

Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering. - Yuxiang Wu; Sebastian Riedel 001; Pasquale Minervini; Pontus Stenetorp (EMNLP (1), 2020)

Learning Reasoning Strategies in End-to-End Differentiable Proving. - Pasquale Minervini; Sebastian Riedel 001; Pontus Stenetorp; Edward Grefenstette; Tim Rocktäschel (ICML, 2020)

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. - Patrick Lewis 001; Ethan Perez; Aleksandra Piktus; Fabio Petroni; Vladimir Karpukhin; Naman Goyal 001; Heinrich Küttler; Mike Lewis; Wen-tau Yih; Tim Rocktäschel; Sebastian Riedel 001; Douwe Kiela (NeurIPS, 2020)

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Sewon Min; Jordan L. Boyd-Graber; Chris Alberti; Danqi Chen 001; Eunsol Choi; Michael Collins 001; Kelvin Guu; Hannaneh Hajishirzi; Kenton Lee; Jennimaria Palomaki; Colin Raffel; Adam Roberts; et al. (NeurIPS (Competition and Demos), 2020)

Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension. - Max Bartolo; Alastair Roberts; Johannes Welbl; Sebastian Riedel 001; Pontus Stenetorp (CoRR, 2020)

There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. - Joe Stacey; Pasquale Minervini; Haim Dubossarsky; Sebastian Riedel 001; Tim Rocktäschel (CoRR, 2020)

KILT: a Benchmark for Knowledge Intensive Language Tasks. - Fabio Petroni; Aleksandra Piktus; Angela Fan; Patrick Lewis 001; Majid Yazdani; Nicola De Cao; James Thorne; Yacine Jernite; Vassilis Plachouras; Tim Rocktäschel; Sebastian Riedel 001 (CoRR, 2020)

Neural Databases. - James Thorne; Majid Yazdani; Marzieh Saeidi; Fabrizio Silvestri; Sebastian Riedel 001; Alon Y. Halevy (CoRR, 2020)

A Memory Efficient Baseline for Open Domain Question Answering. - Gautier Izacard; Fabio Petroni; Lucas Hosseini; Nicola De Cao; Sebastian Riedel 001; Edouard Grave (CoRR, 2020)

Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension. - Max Bartolo; Alastair Roberts; Johannes Welbl; Sebastian Riedel 001; Pontus Stenetorp (Trans. Assoc. Comput. Linguistics, 2020)

Differentiable Reasoning on Large Knowledge Bases and Natural Language. - Pasquale Minervini; Matko Bosnjak; Tim Rocktäschel; Sebastian Riedel 001; Edward Grefenstette (Knowledge Graphs for eXplainable Artificial Intelligence, 2020)

Joint Verification and Reranking for Open Fact Checking Over Tables. - Michael Sejr Schlichtkrull; Vladimir Karpukhin; Barlas Oguz; Mike Lewis; Wen-tau Yih; Sebastian Riedel 001 (ACL/IJCNLP (1), 2021)

Database reasoning over text. - James Thorne; Majid Yazdani; Marzieh Saeidi; Fabrizio Silvestri; Sebastian Riedel 001; Alon Y. Halevy (ACL/IJCNLP (1), 2021)

Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints. - Yuxiang Wu; Pasquale Minervini; Pontus Stenetorp; Sebastian Riedel 001 (ACL/IJCNLP (2), 2021)

Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations. - Yihong Chen; Pasquale Minervini; Sebastian Riedel 001; Pontus Stenetorp (AKBC, 2021)

Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets. - Patrick Lewis 001; Pontus Stenetorp; Sebastian Riedel 001 (EACL, 2021)

Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation. - Max Bartolo; Tristan Thrush; Robin Jia; Sebastian Riedel 001; Pontus Stenetorp; Douwe Kiela (EMNLP (1), 2021)

Autoregressive Entity Retrieval. - Nicola De Cao; Gautier Izacard; Sebastian Riedel 001; Fabio Petroni (ICLR, 2021)

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. - Wenhan Xiong; Xiang Lorraine Li; Srini Iyer 001; Jingfei Du; Patrick Lewis 001; William Yang Wang; Yashar Mehdad; Scott Yih; Sebastian Riedel 001; Douwe Kiela; Barlas Oguz (ICLR, 2021)

Concept Matching for Low-Resource Classification. - Federico Errica; Fabrizio Silvestri; Bora Edizel; Ludovic Denoyer; Fabio Petroni; Vassilis Plachouras; Sebastian Riedel 001 (IJCNN, 2021)

Dynabench: Rethinking Benchmarking in NLP. - Douwe Kiela; Max Bartolo; Yixin Nie; Divyansh Kaushik; Atticus Geiger; Zhengxuan Wu; Bertie Vidgen; Grusha Prasad; Amanpreet Singh; Pratik Ringshia; Zhiyi Ma; Tristan Thrush; et al. (NAACL-HLT, 2021)

KILT: a Benchmark for Knowledge Intensive Language Tasks. - Fabio Petroni; Aleksandra Piktus; Angela Fan; Patrick Lewis 001; Majid Yazdani; Nicola De Cao; James Thorne; Yacine Jernite; Vladimir Karpukhin; Jean Maillard; Vassilis Plachouras; Tim Rocktäschel; et al. (NAACL-HLT, 2021)

Towards Unsupervised Dense Information Retrieval with Contrastive Learning. - Gautier Izacard; Mathilde Caron; Lucas Hosseini; Sebastian Riedel 001; Piotr Bojanowski; Armand Joulin; Edouard Grave (CoRR, 2021)

The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus. - Aleksandra Piktus; Fabio Petroni; Vladimir Karpukhin; Dmytro Okhonko; Samuel Broscheit; Gautier Izacard; Patrick Lewis 001; Barlas Oguz; Edouard Grave; Wen-tau Yih; Sebastian Riedel 001 (CoRR, 2021)

From Natural Language Processing to Neural Databases. - James Thorne; Majid Yazdani; Marzieh Saeidi; Fabrizio Silvestri; Sebastian Riedel 001; Alon Y. Levy (Proc. VLDB Endow., 2021)

PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. - Patrick Lewis 001; Yuxiang Wu; Linqing Liu; Pasquale Minervini; Heinrich Küttler; Aleksandra Piktus; Pontus Stenetorp; Sebastian Riedel 001 (Trans. Assoc. Comput. Linguistics, 2021)

Learning Reasoning Strategies in End-to-End Differentiable Proving. - Pasquale Minervini; Sebastian Riedel 001; Pontus Stenetorp; Edward Grefenstette; Tim Rocktäschel (Neuro-Symbolic Artificial Intelligence, 2021)

Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. - Robert L. Logan IV; Ivana Balazevic; Eric Wallace; Fabio Petroni; Sameer Singh 001; Sebastian Riedel 001 (ACL (Findings), 2022)

Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity. - Yao Lu; Max Bartolo; Alastair Moore; Sebastian Riedel 001; Pontus Stenetorp (ACL (1), 2022)

Open Vocabulary Extreme Classification Using Generative Models. - Daniel Simig; Fabio Petroni; Pouya Yanki; Kashyap Popat; Christina Du; Sebastian Riedel 001; Majid Yazdani (ACL (Findings), 2022)

EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing. - Nora Kassner; Fabio Petroni; Mikhail Plekhanov; Sebastian Riedel 001; Nicola Cancedda (EMNLP, 2022)

A Few More Examples May Be Worth Billions of Parameters. - Yuval Kirstain; Patrick Lewis 001; Sebastian Riedel 001; Omer Levy (EMNLP (Findings), 2022)

An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks. - Yuxiang Wu; Yu Zhao 043; Baotian Hu; Pasquale Minervini; Pontus Stenetorp; Sebastian Riedel 001 (EMNLP, 2022)

Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants. - Max Bartolo; Tristan Thrush; Sebastian Riedel 001; Pontus Stenetorp; Robin Jia; Douwe Kiela (NAACL-HLT, 2022)

Boosted Dense Retriever. - Patrick Lewis 001; Barlas Oguz; Wenhan Xiong; Fabio Petroni; Scott Yih; Sebastian Riedel 001 (NAACL-HLT, 2022)

Challenges in Generalization in Open Domain Question Answering. - Linqing Liu; Patrick Lewis 001; Sebastian Riedel 001; Pontus Stenetorp (NAACL-HLT (Findings), 2022)

Domain-matched Pre-training Tasks for Dense Retrieval. - Barlas Oguz; Kushal Lakhotia; Anchit Gupta; Patrick Lewis 001; Vladimir Karpukhin; Aleksandra Piktus; Xilun Chen 002; Sebastian Riedel 001; Scott Yih; Sonal Gupta; Yashar Mehdad (NAACL-HLT (Findings), 2022)

Lifting the Curse of Multilinguality by Pre-training Modular Transformers. - Jonas Pfeiffer; Naman Goyal 001; Xi Victoria Lin; Xian Li 003; James Cross 003; Sebastian Riedel 001; Mikel Artetxe (NAACL-HLT, 2022)

Autoregressive Search Engines: Generating Substrings as Document Identifiers. - Michele Bevilacqua; Giuseppe Ottaviano; Patrick Lewis 001; Scott Yih; Sebastian Riedel 001; Fabio Petroni (NeurIPS, 2022)

ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. - Yihong Chen; Pushkar Mishra; Luca Franceschi 001; Pasquale Minervini; Pontus Stenetorp; Sebastian Riedel 001 (NeurIPS, 2022)

Improving Wikipedia Verifiability with AI. - Fabio Petroni; Samuel Broscheit; Aleksandra Piktus; Patrick Lewis 001; Gautier Izacard; Lucas Hosseini; Jane Dwivedi-Yu; Maria Lomeli; Timo Schick; Pierre-Emmanuel Mazaré; Armand Joulin; Edouard Grave; et al. (CoRR, 2022)

ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. - Yihong Chen; Pushkar Mishra; Luca Franceschi 001; Pasquale Minervini; Pontus Stenetorp; Sebastian Riedel 001 (CoRR, 2022)

Few-shot Learning with Retrieval Augmented Language Models. - Gautier Izacard; Patrick Lewis 001; Maria Lomeli; Lucas Hosseini; Fabio Petroni; Timo Schick; Jane Dwivedi-Yu; Armand Joulin; Sebastian Riedel 001; Edouard Grave (CoRR, 2022)

EditEval: An Instruction-Based Benchmark for Text Improvements. - Jane Dwivedi-Yu; Timo Schick; Zhengbao Jiang; Maria Lomeli; Patrick Lewis 001; Gautier Izacard; Edouard Grave; Sebastian Riedel 001; Fabio Petroni (CoRR, 2022)

Query Expansion Using Contextual Clue Sampling with Language Models. - Linqing Liu; Minghan Li 002; Jimmy Lin; Sebastian Riedel 001; Pontus Stenetorp (CoRR, 2022)

Multilingual Autoregressive Entity Linking. - Nicola De Cao; Ledell Wu; Kashyap Popat; Mikel Artetxe; Naman Goyal 001; Mikhail Plekhanov; Luke Zettlemoyer; Nicola Cancedda; Sebastian Riedel 001; Fabio Petroni (Trans. Assoc. Comput. Linguistics, 2022)

ProoFVer: Natural Logic Theorem Proving for Fact Verification. - Amrith Krishna; Sebastian Riedel 001; Andreas Vlachos 001 (Trans. Assoc. Comput. Linguistics, 2022)

Unsupervised Dense Information Retrieval with Contrastive Learning. - Gautier Izacard; Mathilde Caron; Lucas Hosseini; Sebastian Riedel 001; Piotr Bojanowski; Armand Joulin; Edouard Grave (Trans. Mach. Learn. Res., 2022)

Task-aware Retrieval with Instructions. - Akari Asai; Timo Schick; Patrick Lewis 001; Xilun Chen 002; Gautier Izacard; Sebastian Riedel 001; Hannaneh Hajishirzi; Wen-tau Yih (ACL (Findings), 2023)

Can discrete information extraction prompts generalize across language models? - Nathanaël Carraz Rakotonirina; Roberto Dessì; Fabio Petroni; Sebastian Riedel 001; Marco Baroni (ICLR, 2023)

PEER: A Collaborative Language Model. - Timo Schick; Jane A. Yu; Zhengbao Jiang; Fabio Petroni; Patrick Lewis 001; Gautier Izacard; Qingfei You; Christoforos Nalmpantis; Edouard Grave; Sebastian Riedel 001 (ICLR, 2023)

Improving Language Plasticity via Pretraining with Active Forgetting. - Yihong Chen; Kelly Marchisio; Roberta Raileanu; David Ifeoluwa Adelani; Pontus Lars Erik Saito Stenetorp; Sebastian Riedel 001; Mikel Artetxe (NeurIPS, 2023)

Prompt Optimisation with Random Sampling. - Yao Lu; Jiayi Wang; Sebastian Riedel 001; Pontus Stenetorp (CoRR, 2023)

Atlas: Few-shot Learning with Retrieval Augmented Language Models. - Gautier Izacard; Patrick Lewis 001; Maria Lomeli; Lucas Hosseini; Fabio Petroni; Timo Schick; Jane Dwivedi-Yu; Armand Joulin; Sebastian Riedel 001; Edouard Grave (J. Mach. Learn. Res., 2023)

Improving Wikipedia verifiability with AI. - Fabio Petroni; Samuel Broscheit; Aleksandra Piktus; Patrick Lewis 001; Gautier Izacard; Lucas Hosseini; Jane Dwivedi-Yu; Maria Lomeli; Timo Schick; Michele Bevilacqua; Pierre-Emmanuel Mazaré; Armand Joulin; et al. (Nat. Mac. Intell., 2023)

Do Large Language Models Latently Perform Multi-Hop Reasoning? - Sohee Yang; Elena Gribovskaya; Nora Kassner; Mor Geva; Sebastian Riedel 001 (ACL (1), 2024)

Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation. - Yao Lu; Jiayi Wang; Raphael Tang; Sebastian Riedel 001; Pontus Stenetorp (NAACL-HLT, 2024)

Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? - Jinhyuk Lee; Anthony Chen; Zhuyun Dai; Dheeru Dua; Devendra Singh Sachan; Michael Boratko; Yi Luan; Sébastien M. R. Arnold; Vincent Perot; Siddharth Dalmia; Hexiang Hu; Xudong Lin 008; et al. (CoRR, 2024)

Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? - Sohee Yang; Nora Kassner; Elena Gribovskaya; Sebastian Riedel 001; Mor Geva (ACL (Findings), 2025)

LOFT: Scalable and More Realistic Long-Context Evaluation. - Jinhyuk Lee; Anthony Chen; Zhuyun Dai; Dheeru Dua; Devendra Singh Sachan; Michael Boratko; Yi Luan; Sébastien M. R. Arnold; Vincent Perot; Siddharth Dalmia; Hexiang Hu; Xudong Lin 008; et al. (NAACL (Findings), 2025)

How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts? - Sohee Yang; Sang-Woo Lee; Nora Kassner; Daniela Gottesman; Sebastian Riedel 001; Mor Geva (CoRR, 2025)