NLPExplorer

Yves Bestgen

Number of Papers:- 24

Number of Citations:- 38

First ACL Paper:- 2002

Latest ACL Paper:- 2021

Venues:-

BEA

EACL

VarDial

SemEval

LREC

CMCL

NAACL

JEP/TALN/RECITAL

IJCNLP

COLING

*SEMEVAL

ACL

MWE

Co-Authors:-

Anne Francoise Cabiaux

Similar Authors:-

Optimizing a Supervised Classifier for a Difficult Language Identification Problem EACL VarDial

Yves Bestgen |

LAST at CMCL 2021 Shared Task: Predicting Gaze Data During Reading with a Gradient Boosting Decision Tree Approach CMCL NAACL

Yves Bestgen |

LAST at SemEval-2021 Task 1: Improving Multi-Word Complexity Prediction Using Bigram Association Measures ACL IJCNLP SemEval

Yves Bestgen |

LAST at SemEval-2020 Task 10: Finding Tokens to Emphasise in Short Written Texts with Precomputed Embedding Models and LightGBM COLING SemEval

Yves Bestgen |

Reproducing Monolingual, Multilingual and Cross-Lingual CEFR Predictions LREC

Yves Bestgen |

CECL at SemEval-2019 Task 3: Using Surface Learning for Detecting Emotion in Textual Conversations *SEMEVAL

Yves Bestgen |

Tintin at SemEval-2019 Task 4: Detecting Hyperpartisan News Article with only Simple Tokens *SEMEVAL

Yves Bestgen |

Predicting Second Language Learner Successes and Mistakes by Means of Conjunctive Features BEA NAACL WS

Yves Bestgen |

Improving the Character Ngram Model for the DSL Task with BM25 Weighting and Less Frequently Used Feature Sets VarDial WS

Yves Bestgen |

Utilisation d’indices phraséologiques pour évaluer des textes en langue étrangère : comparaison des bigrammes et des trigrammes (Collocation measures and automated scoring of foreign language texts : Comparing bigrams and trigrams) JEP/TALN/RECITAL

Yves Bestgen |

Évaluation de mesures d’association pour les bigrammes et les trigrammes au moyen du test exact de Fisher (Using Fisher’s Exact Test to Evaluate Association Measures for Bigrams and Trigrams) JEP/TALN/RECITAL

Yves Bestgen |

Using collocational features to improve automated scoring of EFL texts MWE WS

Yves Bestgen |

Vers une analyse des différences interlinguistiques entre les genres textuels : étude de cas basée sur les n-grammes et l’analyse factorielle des correspondances (Towards a cross-linguistic analysis of genres: A case study based on n-grams and Correspondence Analysis) JEP/TALN/RECITAL

Marie-Aude Lefer | Yves Bestgen | Natalia Grabar |

CECL: a New Baseline and a Non-Compositional Approach for the Sick Benchmark *SEMEVAL

Yves Bestgen |

Maximizing Classification Accuracy in Native Language Identification BEA WS

Scott Jarvis | Yves Bestgen | Steve Pepper |

Identification de mots germes pour la construction d’un lexique de valence au moyen d’une procédure supervisée (Identification of seed words for building a valence lexicon using a supervised procedure) JEP/TALN/RECITAL

Nadja Vincze | Yves Bestgen |

Une procédure pour identifier les modifieurs de la valence affective d’un mot dans des textes (A procedure to identify modifiers of the word emotional valence in texts) JEP/TALN/RECITAL

Noémi Boubel | Yves Bestgen |

Quel indice pour mesurer l’efficacité en segmentation de textes? JEP/TALN/RECITAL

Yves Bestgen |

Building Affective Lexicons from Specific Corpora for Automatic Sentiment Analysis LREC

Yves Bestgen |

Squibs and Discussions: Improving Text Segmentation Using Latent Semantic Analysis: A Reanalysis of Choi, Wiemer-Hastings, and Moore (2001) CL

Yves Bestgen |

Comment évaluer les algorithmes de segmentation automatique ? Essai de construction d’un matériel de référence. JEP/TALN/RECITAL

Yves Bestgen | Sophie Piérard |

Amélioration de la segmentation automatique des textes grâce aux connaissances acquises par l’analyse sémantique latente JEP/TALN/RECITAL

Yves Bestgen |

On the Use of Automatic Tools for Large-scale Semantic Analyses of Causal Connectives WS

Liesbeth Degand | Wilbert Spooren | Yves Bestgen |

L’analyse sémantique latente et l’identification des métaphores JEP/TALN/RECITAL

Yves Bestgen | Anne-Françoise Cabiaux |