NLPExplorer

Do Multi-Sense Embeddings Improve Natural Language Understanding?

Jiwei Li | Dan Jurafsky |

Month: September
Year: 2015
Location: Lisbon, Portugal
Venue: EMNLP |
SIG: SIGDAT

Auto-Encoding Dictionary Definitions into Consistent Word Embeddings
Tom Bosc | Pascal Vincent |

Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources
Gabriel Stanovsky | Mark Hopkins |

Can Topic Modelling benefit from Word Sense Information?
Adriana Ferrugento | Hugo Gonçalo Oliveira | Ana Alves | Filipe Rodrigues |

Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
Simon Šuster | Ivan Titov | Gertjan van Noord |

Evaluating multi-sense embeddings for semantic resolution monolingually and in word translation
Gábor Borbély | Márton Makrai | Dávid Márk Nemeskey | András Kornai |

Learning to Embed Words in Context for Syntactic Tasks
Lifu Tu | Kevin Gimpel | Karen Livescu |

Implicit Subjective and Sentimental Usages in Multi-sense Word Embeddings
Yuqi Sun | Haoyue Shi | Junfeng Hu |

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Embeddings

Language Understanding Tagging Sentiment Analysis

Chinese English

Expectation-Regulated Neural Model for Event Mention Extraction

Ching-Yun Chang | Zhiyang Teng | Yue Zhang |

Semi-supervised Structured Prediction with Neural CRF Autoencoder

A Joint Model of Conversational Discourse Latent Topics on Microblogs

Jing Li | Yan Song | Zhongyu Wei | Kam-Fai Wong |

Andrew Moore | Paul Rayson |

A Survey of Arabic Named Entity Recognition and Classification

Khaled Shaalan |