NLPExplorer

Bahar Salehi

Number of Papers:- 18

Number of Citations:- 80

First ACL Paper:- 2013

Latest ACL Paper:- 2021

Venues:-

EACL

*SEMEVAL

WNUT

ACL

TACL

ALTA

NAACL

MWE

EMNLP

COLING

Co-Authors:-

Similar Authors:-

Jorge Antonio Leoni De Leon

Evaluating Document Coherence Modeling TACL

Modelling Uncertainty in Collaborative Document Quality Assessment EMNLP WS

How Well Do Embedding Models Capture Non-compositionality? A View from Multiword Expressions NAACL WS

Navnita Nandakumar | Timothy Baldwin | Bahar Salehi |

Feature-guided Neural Model Training for Supervised Document Representation Learning ALTA

Aili Shen | Bahar Salehi | Jianzhong Qi | Timothy Baldwin |

A Comparative Study of Embedding Models in Predicting the Compositionality of Multiword Expressions ALTA

Navnita Nandakumar | Bahar Salehi | Timothy Baldwin |

Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP ACL WS

Evaluating hypotheses in geolocation on a very large sample of Twitter WNUT WS

Bahar Salehi | Anders Søgaard |

Huntsville, hospitals, and hockey teams: Names can reveal your location WNUT WS

Bahar Salehi | Dirk Hovy | Eduard Hovy | Anders Søgaard |

Determining the Multiword Expression Inventory of a Surprise Language COLING

Bahar Salehi | Paul Cook | Timothy Baldwin |

UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures *SEMEVAL

A Word Embedding Approach to Predicting the Compositionality of Multiword Expressions NAACL

Bahar Salehi | Paul Cook | Timothy Baldwin |

The Impact of Multiword Expression Compositionality on Machine Translation Evaluation MWE WS

Bahar Salehi | Nitika Mathur | Paul Cook | Timothy Baldwin |

Detecting Non-compositional MWE Components using Wiktionary EMNLP

Bahar Salehi | Paul Cook | Timothy Baldwin |

Using Distributional Similarity of Multi-way Translations to Predict Multiword Expression Compositionality EACL

Bahar Salehi | Paul Cook | Timothy Baldwin |

Automatic Identification of Expressions of Locations in Tweet Messages using Conditional Random Fields ALTA

UniMelb_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity *SEMEVAL

Predicting the Compositionality of Multiword Expressions Using Translations in Multiple Languages *SEMEVAL

Bahar Salehi | Paul Cook |

Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features *SEMEVAL

Yvette Graham | Bahar Salehi | Timothy Baldwin |