NLPExplorer

Emiel Krahmer

Number of Papers:- 69

Number of Citations:- 263

First ACL Paper:- 1997

Latest ACL Paper:- 2022

Venues:-

EvalNLGEval

MTSummit

ENLG

RANLP

NAACL

LREC

TAG+

LaTeCH

EMNLP

VarDial

NLG4Health

ACL

EACL

INLG

COLING

Co-Authors:-

Similar Authors:-

Proceedings of the First Workshop on Natural Language Generation in Healthcare NLG4Health

Emiel Krahmer | Kathy McCoy | Ehud Reiter |

A reproduction study of methods for evaluating dialogue system output: Replicating Santhanam and Shaikh (2019) INLG

Preregistering NLP research NAACL

Emiel van Miltenburg | Chris van der Lee | Emiel Krahmer |

Gradations of Error Severity in Automatic Image Descriptions INLG

The CACAPO Dataset: A Multilingual, Multi-Domain Dataset for Neural Pipeline and End-to-End Data-to-Text Generation INLG

Chris van der Lee | Chris Emmery | Sander Wubben | Emiel Krahmer |

Evaluation rules! On the use of grammars and rule-based systems for NLG evaluation EvalNLGEval INLG

Emiel van Miltenburg | Chris van der Lee | Thiago Castro-Ferreira | Emiel Krahmer |

Neural data-to-text generation: A comparison between pipeline and end-to-end architectures EMNLP

Thiago Castro Ferreira | Chris van der Lee | Emiel van Miltenburg | Emiel Krahmer |

Automatic identification of writers’ intentions: Comparing different methods for predicting relationship goals in online dating profile texts EMNLP WS

Surface Realization Shared Task 2019 (MSR19): The Team 6 Approach EMNLP WS

Thiago Castro Ferreira | Emiel Krahmer |

Best practices for the human evaluation of automatically generated text INLG WS

A Personalized Data-to-Text Support Tool for Cancer Patients INLG WS

On task effects in NLG corpus elicitation: a replication study using mixed effects modeling INLG WS

Question Similarity in Community Question Answering: A Systematic Exploration of Preprocessing Methods and Models RANLP

Florian Kunneman | Thiago Castro Ferreira | Emiel Krahmer | Antal van den Bosch |

Evaluating the text quality, human likeness and tailoring component of PASS: A Dutch data-to-text system for soccer COLING

Chris van der Lee | Bart Verduijn | Emiel Krahmer | Sander Wubben |

Aspect-based summarization of pros and cons in unstructured product reviews COLING

Florian Kunneman | Sander Wubben | Antal van den Bosch | Emiel Krahmer |

DIDEC: The Dutch Image Description and Eye-tracking Corpus COLING

Emiel van Miltenburg | Ákos Kádár | Ruud Koolen | Emiel Krahmer |

NeuralREG: An end-to-end approach to referring expression generation ACL

Surface Realization Shared Task 2018 (SR18): The Tilburg University Approach ACL WS

Thiago Castro Ferreira | Sander Wubben | Emiel Krahmer |

Varying image description tasks: spoken versus written descriptions COLING VarDial WS

Emiel van Miltenburg | Ruud Koolen | Emiel Krahmer |

Proceedings of the 11th International Conference on Natural Language Generation INLG WS

Emiel Krahmer | Albert Gatt | Martijn Goudbeek |

Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methods INLG WS

Chris van der Lee | Emiel Krahmer | Sander Wubben |

Enriching the WebNLG corpus INLG WS

Thiago Castro Ferreira | Diego Moussallem | Emiel Krahmer | Sander Wubben |

Context-sensitive Natural Language Generation for robot-assisted second language tutoring INLG WS

Generating flexible proper name references in text: Data, models and evaluation EACL

Thiago Castro Ferreira | Emiel Krahmer | Sander Wubben |

Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation INLG WS

Thiago Castro Ferreira | Iacer Calixto | Sander Wubben | Emiel Krahmer |

PASS: A Dutch data-to-text system for soccer, targeted towards specific audiences INLG WS

Chris van der Lee | Emiel Krahmer | Sander Wubben |

Individual Variation in the Choice of Referential Form NAACL

Thiago Castro Ferreira | Emiel Krahmer | Sander Wubben |

Towards more variation in text generation: Developing and evaluating variation models for choice of referential form ACL

Thiago Castro Ferreira | Emiel Krahmer | Sander Wubben |

Abstractive Compression of Captions with Attentive Recurrent Neural Networks INLG WS

Sander Wubben | Emiel Krahmer | Antal van den Bosch | Suzan Verberne |

The Multilingual Affective Soccer Corpus (MASC): Compiling a biased parallel corpus on soccer reportage in English, German and Dutch INLG WS

Nadine Braun | Martijn Goudbeek | Emiel Krahmer |

Towards proper name generation: a corpus analysis INLG WS

Thiago Castro Ferreira | Sander Wubben | Emiel Krahmer |

Moving Targets: Human References to Unstable Landmarks ENLG WS

Adriana Baltaretu | Emiel Krahmer | Alfons Maes |

Creating and using large monolingual parallel corpora for sentential paraphrase generation LREC

Sander Wubben | Antal van den Bosch | Emiel Krahmer |

Graphs and Spatial Relations in the Generation of Referring Expressions WS

Jette Viethen | Margaret Mitchell | Emiel Krahmer |

Using character overlap to improve language transformation LaTeCH WS

Sander Wubben | Emiel Krahmer | Antal van den Bosch |

Computational Generation of Referring Expressions: A Survey CL

Emiel Krahmer | Kees van Deemter |

Sentence Simplification by Monolingual Machine Translation ACL

Sander Wubben | Antal van den Bosch | Emiel Krahmer |

Learning Preferences for Referring Expression Generation: Effects of Domain, Language and Algorithm INLG WS

Ruud Koolen | Emiel Krahmer | Mariët Theune |

Does Size Matter – How Much Data is Required to Train a REG Algorithm? ACL

Mariët Theune | Ruud Koolen | Emiel Krahmer | Sander Wubben |

Comparing Phrase-based and Syntax-based Paraphrase Generation WS

Sander Wubben | Erwin Marsi | Antal van den Bosch | Emiel Krahmer |

Automatic analysis of semantic similarity in comparable text through syntactic tree matching COLING

Erwin Marsi | Emiel Krahmer |

Last Words: What Computational Linguists Can Learn from Psychologists (and Vice Versa) CL

Emiel Krahmer |

The D-TUNA Corpus: A Dutch Dataset for the Evaluation of Referring Expression Generation Algorithms LREC

Ruud Koolen | Emiel Krahmer |

Human Language Technology and Communicative Disabilities: Requirements and Possibilities for the Future LREC

Preferences versus Adaptation during Referring Expression Generation ACL

Martijn Goudbeek | Emiel Krahmer |

Cross-linguistic Attribute Selection for REG: Comparing Dutch and English INLG WS

Mariët Theune | Ruud Koolen | Emiel Krahmer |

Paraphrase Generation as Monolingual Translation: Data and Evaluation INLG WS

Sander Wubben | Antal van den Bosch | Emiel Krahmer |

Proceedings of the 12th European Workshop on Natural Language Generation (ENLG 2009) ENLG WS

Emiel Krahmer | Mariët Theune |

Is Sentence Compression an NLG task? ENLG WS

Erwin Marsi | Emiel Krahmer | Iris Hendrickx | Walter Daelemans |

Clustering and Matching Headlines for Automatic Paraphrase Acquisition ENLG WS

Sander Wubben | Antal van den Bosch | Emiel Krahmer | Erwin Marsi |

Realizing the Costs: Template-Based Surface Realisation in the GRAPH Approach to Referring Expression Generation ENLG WS

Ivo Brugman | Mariët Theune | Emiel Krahmer | Jette Viethen |

Reducing Redundancy in Multi-document Summarization Using Lexical Semantic Similarity WS

Iris Hendrickx | Walter Daelemans | Erwin Marsi | Emiel Krahmer |

Controlling Redundancy in Referring Expressions LREC

Query-based Sentence Fusion is Better Defined and Leads to More Preferred Results than Generic Sentence Fusion ACL

Emiel Krahmer | Erwin Marsi | Paul van Pelt |

GRAPH: The Costs of Redundancy in Referring Expressions INLG WS

Emiel Krahmer | Mariët Theune | Jette Viethen | Iris Hendrickx |

Dependency-based paraphrasing for recognizing textual entailment WS

Erwin Marsi | Emiel Krahmer | Wauter Bosma |

Cost-based attribute selection for GRE (GRAPH-SC/GRAPH-FP) MTSummit

Mariët Theune | Pascal Touset | Jette Viethen | Emiel Krahmer |

Squibs and Discussions: Real versus Template-Based Natural Language Generation: A False Opposition? CL

Kees van Deemter | Emiel Krahmer | Mariët Theune |

Classification of Semantic Relations by Humans and Machines WS

Erwin Marsi | Emiel Krahmer |

Explorations in Sentence Fusion ENLG WS

Erwin Marsi | Emiel Krahmer |

Evaluating Multimodal NLG Using Production Experiments LREC

Ielka van der Sluis | Emiel Krahmer |

Graph-Based Generation of Referring Expressions CL

Emiel Krahmer | Sebastiaan van Erk | André Verleg |

A New Model for Generating Multimodal Referring Expressions ENLG WS

Emiel Krahmer | Ielka van der Sluis |

Machine Learning for Shallow Interpretation of User Utterances in Spoken Dialogue Systems WS

Piroska Lendvai | Antal van den Bosch | Emiel Krahmer |

Detecting Problematic Turns in Human-Machine Interactions: Rule-induction Versus Memory-based Learning Approaches ACL

Antal van den Bosch | Emiel Krahmer | Marc Swerts |

A Meta-Algorithm for the Generation of Referring Expressions ENLG WS

Emiel Krahmer | Sebastiaan van Erk | André Verleg |

On the Use of Prosody for On-line Evaluation of Spoken Dialogue Systems LREC

Marc Swerts | Emiel Krahmer |

Description theory, LTAGs and underspecified semantics TAG+ WS

Reinhard Muskens | Emiel Krahmer |

How to obey the 7 commandments for spoken dialogue? WS

Emiel Krahmer | Jan Landsbergen | Xavier Pouteau |