NLPExplorer

Martin Jaggi

Number of Papers:- 14

Number of Citations:- 35

First ACL Paper:- 2014

Latest ACL Paper:- 2023

Venues:-

NAACL

CoNLL

Findings

ACL

*SEMEVAL

EMNLP

WS

IJCNLP

Co-Authors:-

Andreea Hossmann

Aurelien Lucchi

Carsten Eickhoff

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SIMSUM: Document-level Text Simplification via Simultaneous Summarization ACL

Sofia Blinova | Xinyu Zhou | Martin Jaggi | Carsten Eickhoff | Seyed Ali Bahrainian |

SKILL: Structured Knowledge Infusion for Large Language Models NAACL

Fedor Moiseev | Zhe Dong | Enrique Alfonseca | Martin Jaggi |

Self-Supervised Neural Topic Modeling EMNLP Findings

Seyed Ali Bahrainian | Martin Jaggi | Carsten Eickhoff |

Lightweight Cross-Lingual Sentence Representation Learning ACL IJCNLP

Zhuoyuan Mao | Prakhar Gupta | Chenhui Chu | Martin Jaggi | Sadao Kurohashi |

Obtaining Better Static Word Embeddings Using Contextual Embedding Models ACL IJCNLP

Prakhar Gupta | Martin Jaggi |

Masking as an Efficient Alternative to Finetuning for Pretrained Language Models EMNLP

Mengjie Zhao | Tao Lin | Fei Mi | Martin Jaggi | Hinrich Schütze |

Better Word Embeddings by Disentangling Contextual n-Gram Information NAACL

Prakhar Gupta | Matteo Pagliardini | Martin Jaggi |

Correlating Twitter Language with Community-Level Health Outcomes ACL WS

Arno Schneuwly | Ralf Grubenmann | Séverine Rion Logean | Mark Cieliebak | Martin Jaggi |

Simple Unsupervised Keyphrase Extraction using Sentence Embeddings CoNLL

Kamil Bennani-Smires | Claudiu Musat | Andreea Hossmann | Michael Baeriswyl | Martin Jaggi |

Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features NAACL

Matteo Pagliardini | Prakhar Gupta | Martin Jaggi |

Generating Steganographic Text with LSTMs ACL

Tina Fang | Martin Jaggi | Katerina Argyraki |

SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision *SEMEVAL

Jan Deriu | Maurice Gonzenbach | Fatih Uzdilli | Aurelien Lucchi | Valeria De Luca | Martin Jaggi |

Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment *SEMEVAL

Fatih Uzdilli | Martin Jaggi | Dominic Egger | Pascal Julmy | Leon Derczynski | Mark Cieliebak |

Swiss-Chocolate: Sentiment Detection using Sparse SVMs and Part-Of-Speech n-Grams *SEMEVAL

Martin Jaggi | Fatih Uzdilli | Mark Cieliebak |

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