NLPExplorer

UnibucKernel: An Approach for Arabic Dialect Identification Based on Multiple String Kernels

Radu Tudor Ionescu | Marius Popescu |

Month: December
Year: 2016
Location: Osaka, Japan
Venue: VarDial | WS |

Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set
Radu Tudor Ionescu | Andrei M. Butnaru |

Automated essay scoring with string kernels and word embeddings
Mădălina Cozma | Andrei Butnaru | Radu Tudor Ionescu |

Identifying dialects with textual and acoustic cues
Abualsoud Hanani | Aziz Qaroush | Stephen Taylor |

Tübingen system in VarDial 2017 shared task: experiments with language identification and cross-lingual parsing
Çağrı Çöltekin | Taraka Rama |

Learning to Identify Arabic and German Dialects using Multiple Kernels
Radu Tudor Ionescu | Andrei Butnaru |

Can string kernels pass the test of time in Native Language Identification?
Radu Tudor Ionescu | Marius Popescu |

Native Language Identification on Text and Speech
Marcos Zampieri | Alina Maria Ciobanu | Liviu P. Dinu |

UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row
Andrei Butnaru | Radu Tudor Ionescu |

Language Identification ASR Authorship Attribution Native Language Identification

Kernel Method

Arabic Semitic

News

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Expectation-Regulated Neural Model for Event Mention Extraction

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Argumentation Mining in User-Generated Web Discourse

Ivan Habernal | Iryna Gurevych |

A Joint Model of Conversational Discourse Latent Topics on Microblogs

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