NLPExplorer

A Word Embedding Approach to Predicting the Compositionality of Multiword Expressions

Bahar Salehi | Paul Cook | Timothy Baldwin |

Paper Details:

Month: May–June
Year: 2015
Location: Denver, Colorado
Venue: NAACL |

Citations

URL

Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification
Chaya Liebeskind | Yaakov HaCohen-Kerner |

Learning Semantic Composition to Detect Non-compositionality of Multiword Expressions
Majid Yazdani | Meghdad Farahmand | James Henderson |

Distinguishing Japanese Non-standard Usages from Standard Ones
Tatsuya Aoki | Ryohei Sasano | Hiroya Takamura | Manabu Okumura |

Learning Compositionality Functions on Word Embeddings for Modelling Attribute Meaning in Adjective-Noun Phrases
Matthias Hartung | Fabian Kaupmann | Soufian Jebbara | Philipp Cimiano |

When a Red Herring in Not a Red Herring: Using Compositional Methods to Detect Non-Compositional Phrases
Julie Weeds | Thomas Kober | Jeremy Reffin | David Weir |

mwetoolkit+sem: Integrating Word Embeddings in the mwetoolkit for Semantic MWE Processing
Silvio Cordeiro | Carlos Ramisch | Aline Villavicencio |

Predicting the Compositionality of Nominal Compounds: Giving Word Embeddings a Hard Time
Silvio Cordeiro | Carlos Ramisch | Marco Idiart | Aline Villavicencio |

Towards a Seamless Integration of Word Senses into Downstream NLP Applications
Mohammad Taher Pilehvar | Jose Camacho-Collados | Roberto Navigli | Nigel Collier |

UFRGS&LIF at SemEval-2016 Task 10: Rule-Based MWE Identification and Predominant-Supersense Tagging
Silvio Cordeiro | Carlos Ramisch | Aline Villavicencio |

The Role of Modifier and Head Properties in Predicting the Compositionality of English and German Noun-Noun Compounds: A Vector-Space Perspective
Sabine Schulte im Walde | Anna Hätty | Stefan Bott |

A Comparative Study of Embedding Models in Predicting the Compositionality of Multiword Expressions
Navnita Nandakumar | Bahar Salehi | Timothy Baldwin |

Detection of Multiword Expressions for Hindi Language using Word Embeddings and WordNet-based Features
Dhirendra Singh | Sudha Bhingardive | Kevin Patel | Pushpak Bhattacharyya |

Data61-CSIRO systems at the CLPsych 2016 Shared Task
Sunghwan Mac Kim | Yufei Wang | Stephen Wan | Cécile Paris |

An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation
Jey Han Lau | Timothy Baldwin |

Using Word Embeddings for Improving Statistical Machine Translation of Phrasal Verbs
Kostadin Cholakov | Valia Kordoni |

Representing Support Verbs in FrameNet
Miriam R. L. Petruck | Michael Ellsworth |

A Word Embedding Approach to Identifying Verb-Noun Idiomatic Combinations
Waseem Gharbieh | Virendra Bhavsar | Paul Cook |

Do Character-Level Neural Network Language Models Capture Knowledge of Multiword Expression Compositionality?
Ali Hakimi Parizi | Paul Cook |

Field Of Study

Linguistic Trends

Distributional Semantics Embeddings

Task

Sentiment Analysis Machine Translation

Language

English

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