NLPExplorer

Paul Cook

Number of Papers:- 51

Number of Citations:- 437

First ACL Paper:- 2006

Latest ACL Paper:- 2019

Venues:-

ALTA

WAC

EMNLP

*SEMEVAL

MWE

PACLIC

VarDial

SENSE

IJCNLP

NAACL

LREC

COLING

CoNLL

EACL

ACL

LAW

Co-Authors:-

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UNBNLP at SemEval-2019 Task 5 and 6: Using Language Models to Detect Hate Speech and Offensive Language *SEMEVAL

Ali Hakimi Parizi | Milton King | Paul Cook |

Towards Language Technology for Mi’kmaq LREC

Anant Maheshwari | Léo Bouscarrat | Paul Cook |

Leveraging distributed representations and lexico-syntactic fixedness for token-level prediction of the idiomaticity of English verb-noun combinations ACL

Milton King | Paul Cook |

UNBNLP at SemEval-2018 Task 10: Evaluating unsupervised approaches to capturing discriminative attributes *SEMEVAL

Milton King | Ali Hakimi Parizi | Paul Cook |

Do Character-Level Neural Network Language Models Capture Knowledge of Multiword Expression Compositionality? COLING LAW WS

Ali Hakimi Parizi | Paul Cook |

Deep Learning Models For Multiword Expression Identification *SEMEVAL

Waseem Gharbieh | Virendrakumar Bhavsar | Paul Cook |

Supervised and unsupervised approaches to measuring usage similarity SENSE WS

Milton King | Paul Cook |

Determining the Multiword Expression Inventory of a Surprise Language COLING

Bahar Salehi | Paul Cook | Timothy Baldwin |

Evaluating a Topic Modelling Approach to Measuring Corpus Similarity LREC

Richard Fothergill | Paul Cook | Timothy Baldwin |

Classifying Out-of-vocabulary Terms in a Domain-Specific Social Media Corpus LREC

UNBNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation *SEMEVAL

Milton King | Waseem Gharbieh | SoHyun Park | Paul Cook |

A Word Embedding Approach to Identifying Verb-Noun Idiomatic Combinations MWE WS

Waseem Gharbieh | Virendra Bhavsar | Paul Cook |

Proceedings of the 10th Web as Corpus Workshop WAC WS

Paul Cook | Stefan Evert | Roland Schäfer | Egon Stemle |

A Neural Network Model for Low-Resource Universal Dependency Parsing EMNLP

Long Duong | Trevor Cohn | Steven Bird | Paul Cook |

Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data CoNLL

Long Duong | Trevor Cohn | Steven Bird | Paul Cook |

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

Bahar Salehi | Paul Cook | Timothy Baldwin |

Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser ACL IJCNLP

Long Duong | Trevor Cohn | Steven Bird | Paul Cook |

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

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

Novel Word-sense Identification COLING

Paul Cook | Jey Han Lau | Diana McCarthy | Timothy Baldwin |

evision PDF of 'What Can We Get From 1000 Tokens? A Case Study of Multilingual POS Tagging For Resource-Poor Languages EMNLP

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 |

One Sense per Tweeter ... and Other Lexical Semantic Tales of Twitter EACL

Spandana Gella | Paul Cook | Timothy Baldwin |

Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models ACL

Exploring Methods and Resources for Discriminating Similar Languages VarDial WS

How Noisy Social Media Text, How Diffrnt Social Media Sources? IJCNLP

Increasing the Quality and Quantity of Source Language Data for Unsupervised Cross-Lingual POS Tagging IJCNLP

Long Duong | Paul Cook | Steven Bird | Pavel Pecina |

Simpler unsupervised POS tagging with bilingual projections ACL

Long Duong | Paul Cook | Steven Bird | Pavel Pecina |

A Stacking-based Approach to Twitter User Geolocation Prediction ACL

Bo Han | Paul Cook | Timothy Baldwin |

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

Unsupervised Word Usage Similarity in Social Media Texts *SEMEVAL

Spandana Gella | Paul Cook | Bo Han |

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

Bahar Salehi | Paul Cook |

unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering *SEMEVAL

Jey Han Lau | Paul Cook | Timothy Baldwin |

unimelb: Topic Modelling-based Word Sense Induction *SEMEVAL

Jey Han Lau | Paul Cook | Timothy Baldwin |

Classifying English Documents by National Dialect ALTA

Marco Lui | Paul Cook |

Automatically Assessing Whether a Text Is Cliched, with Applications to Literary Analysis MWE WS

Paul Cook | Graeme Hirst |

Geolocation Prediction in Social Media Data by Finding Location Indicative Words COLING

Bo Han | Paul Cook | Timothy Baldwin |

Automatically Constructing a Normalisation Dictionary for Microblogs CoNLL EMNLP

Bo Han | Paul Cook | Timothy Baldwin |

Word Sense Induction for Novel Sense Detection EACL

A Support Platform for Event Detection using Social Intelligence EACL

langid.py for better language modelling ALTA

Paul Cook | Marco Lui |

Book Review: A Way with Words: Recent Advances in Lexical Theory and Analysis: A Festschrift for Patrick Hanks edited by Gilles-Maurice de Schryver CL

Paul Cook |