NLPExplorer

Sebastian Riedel

Number of Papers:- 64

Number of Citations:- 804

First ACL Paper:- 2006

Latest ACL Paper:- 2020

Venues:-

Louhi

COLING

IJCNLP

NAACL

*SEMEVAL

NoDaLiDa

EMNLP

RepEval

ACL

TACL

Gen-Deep

EACL

BioNLP

CoNLL

LatentVar

SocialNLP

Co-Authors:-

Similar Authors:-

TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data ACL

Pengcheng Yin | Graham Neubig | Wen-tau Yih | Sebastian Riedel |

MLQA: Evaluating Cross-lingual Extractive Question Answering ACL

Language Models as Knowledge Bases? EMNLP

evision PDF of 'Evaluating Rewards for Question Generation Models NAACL

Tom Hosking | Sebastian Riedel |

Unsupervised Question Answering by Cloze Translation ACL

Patrick Lewis | Ludovic Denoyer | Sebastian Riedel |

Interpretation of Natural Language Rules in Conversational Machine Reading EMNLP

Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection EMNLP

Sudhanshu Kasewa | Pontus Stenetorp | Sebastian Riedel |

Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge CoNLL

Pasquale Minervini | Sebastian Riedel |

Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness NAACL

Ivan Sanchez | Jeff Mitchell | Sebastian Riedel |

Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers ACL

Georgios Spithourakis | Sebastian Riedel |

Zero-Shot Transfer Learning for Event Extraction ACL

Jack the Reader – A Machine Reading Framework ACL

Constructing Datasets for Multi-hop Reading Comprehension Across Documents TACL

Johannes Welbl | Pontus Stenetorp | Sebastian Riedel |

Extrapolation in NLP Gen-Deep NAACL WS

Jeff Mitchell | Pontus Stenetorp | Pasquale Minervini | Sebastian Riedel |

UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF) EMNLP WS

Neural Architectures for Fine-grained Entity Type Classification EACL

Sonse Shimaoka | Pontus Stenetorp | Kentaro Inui | Sebastian Riedel |

How Well Can We Predict Hypernyms from Word Embeddings? A Dataset-Centric Analysis EACL

Ivan Sanchez | Sebastian Riedel |

The SUMMA Platform Prototype EACL

Imitation learning for structured prediction in natural language processing EACL

Andreas Vlachos | Gerasimos Lampouras | Sebastian Riedel |

A Supervised Approach to Extractive Summarisation of Scientific Papers CoNLL

Ed Collins | Isabelle Augenstein | Sebastian Riedel |

SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications *SEMEVAL

SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods COLING

Marzieh Saeidi | Guillaume Bouchard | Maria Liakata | Sebastian Riedel |

Numerically Grounded Language Models for Semantic Error Correction EMNLP

Georgios Spithourakis | Isabelle Augenstein | Sebastian Riedel |

Lifted Rule Injection for Relation Embeddings EMNLP

Thomas Demeester | Tim Rocktäschel | Sebastian Riedel |

Learning to Generate Textual Data EMNLP

Guillaume Bouchard | Pontus Stenetorp | Sebastian Riedel |

Learning Knowledge Base Inference with Neural Theorem Provers WS

Tim Rocktäschel | Sebastian Riedel |

An Attentive Neural Architecture for Fine-grained Entity Type Classification WS

Sonse Shimaoka | Pontus Stenetorp | Kentaro Inui | Sebastian Riedel |

Regularizing Relation Representations by First-order Implications WS

Thomas Demeester | Tim Rocktäschel | Sebastian Riedel |

A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion WS

Johannes Welbl | Guillaume Bouchard | Sebastian Riedel |

Defining Words with Words: Beyond the Distributional Hypothesis RepEval WS

Clinical Text Prediction with Numerically Grounded Conditional Language Models Louhi WS

Georgios Spithourakis | Steffen Petersen | Sebastian Riedel |

emoji2vec: Learning Emoji Representations from their Description SocialNLP WS

Identification and Verification of Simple Claims about Statistical Properties EMNLP

Andreas Vlachos | Sebastian Riedel |

Injecting Logical Background Knowledge into Embeddings for Relation Extraction NAACL

Tim Rocktäschel | Sameer Singh | Sebastian Riedel |

WOLFE: An NLP-friendly Declarative Machine Learning Stack NAACL

Matrix and Tensor Factorization Methods for Natural Language Processing ACL IJCNLP

Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction LatentVar WS

Sameer Singh | Tim Rocktäschel | Sebastian Riedel |

Invited Talk: Embedding Probabilistic Logic for Machine Reading NoDaLiDa WS

Sebastian Riedel |

Low-Dimensional Embeddings of Logic WS

Tim Rocktäschel | Matko Bosnjak | Sameer Singh | Sebastian Riedel |

Fact Checking: Task definition and dataset construction WS

Andreas Vlachos | Sebastian Riedel |

Relation Extraction with Matrix Factorization and Universal Schemas NAACL

Sebastian Riedel | Limin Yao | Andrew McCallum | Benjamin M. Marlin |

Proceedings of the Seventeenth Conference on Computational Natural Language Learning CoNLL WS

Julia Hockenmaier | Sebastian Riedel |

Parse, Price and Cut—Delayed Column and Row Generation for Graph Based Parsers CoNLL EMNLP

Sebastian Riedel | David Smith | Andrew McCallum |

Improving NLP through Marginalization of Hidden Syntactic Structure CoNLL EMNLP

Jason Naradowsky | Sebastian Riedel | David Smith |

Unsupervised Relation Discovery with Sense Disambiguation ACL

Limin Yao | Sebastian Riedel | Andrew McCallum |

Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX) WS