NLPExplorer

CoNLL - 2023

Total Papers:- 74

Total Papers accross all years:- 1554

Total Citations :- 0

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On the effect of curriculum learning with developmental data for grammar acquisition

Mattia Opper | J. Morrison | N. Siddharth |

Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)

Jing Jiang | David Reitter | Shumin Deng |

Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics

Yuhan Zhang | Edward Gibson | Forrest Davis |

Increasing The Performance of Cognitively Inspired Data-Efficient Language Models via Implicit Structure Building

Omar Momen | David Arps | Laura Kallmeyer |

ChiSCor: A Corpus of Freely-Told Fantasy Stories by Dutch Children for Computational Linguistics and Cognitive Science

Bram van Dijk | Max van Duijn | Suzan Verberne | Marco Spruit |

GPT-wee: How Small Can a Small Language Model Really Get?

Bastian Bunzeck | Sina Zarrieß |

ToddlerBERTa: Exploiting BabyBERTa for Grammar Learning and Language Understanding

Ömer Veysel Çağatan |

REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization

Mohammad Reza Ghasemi Madani | Pasquale Minervini |

PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments

Daiki Asami | Saku Sugawara |

Alignment via Mutual Information

A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models

Karin de Langis | Dongyeop Kang |

The Zipfian Challenge: Learning the statistical fingerprint of natural languages

Christian Bentz |

On the Effects of Structural Modeling for Neural Semantic Parsing

Xiang Zhang | Shizhu He | Kang Liu | Jun Zhao |

Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests