NLPExplorer

KeLP at SemEval-2016 Task 3: Learning Semantic Relations between Questions and Answers

Simone Filice | Danilo Croce | Alessandro Moschitti | Roberto Basili |

Paper Details:

Month: June
Year: 2016
Location: San Diego, California
Venue: *SEMEVAL |

Citations

URL

Hand in Glove: Deep Feature Fusion Network Architectures for Answer Quality Prediction in Community Question Answering
Sai Praneeth Suggu | Kushwanth Naga Goutham | Manoj K. Chinnakotla | Manish Shrivastava |

Selecting Sentences versus Selecting Tree Constituents for Automatic Question Ranking
Alberto Barrón-Cedeño | Giovanni Da San Martino | Salvatore Romeo | Alessandro Moschitti |

It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering
Preslav Nakov | Lluís Màrquez | Francisco Guzmán |

Cross-Pair Text Representations for Answer Sentence Selection
Kateryna Tymoshenko | Alessandro Moschitti |

Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings
Shafiq Joty | Lluís Màrquez | Preslav Nakov |

Effective shared representations with Multitask Learning for Community Question Answering
Daniele Bonadiman | Antonio Uva | Alessandro Moschitti |

A Multi-Domain Framework for Textual Similarity. A Case Study on Question-to-Question and Question-Answering Similarity Tasks
Amir Hazem | Basma El Amal Boussaha | Nicolas Hernandez |

Machine Translation Evaluation Meets Community Question Answering
Francisco Guzmán | Lluís Màrquez | Preslav Nakov |

Deep Learning in Semantic Kernel Spaces
Danilo Croce | Simone Filice | Giuseppe Castellucci | Roberto Basili |

Question Answering through Transfer Learning from Large Fine-grained Supervision Data
Sewon Min | Minjoon Seo | Hannaneh Hajishirzi |

Question Condensing Networks for Answer Selection in Community Question Answering
Wei Wu | Xu Sun | Houfeng Wang |

Injecting Relational Structural Representation in Neural Networks for Question Similarity
Antonio Uva | Daniele Bonadiman | Alessandro Moschitti |

A Flexible, Efficient and Accurate Framework for Community Question Answering Pipelines
Salvatore Romeo | Giovanni Da San Martino | Alberto Barrón-Cedeño | Alessandro Moschitti |

SimBow at SemEval-2017 Task 3: Soft-Cosine Semantic Similarity between Questions for Community Question Answering
Delphine Charlet | Géraldine Damnati |

ECNU at SemEval-2017 Task 3: Using Traditional and Deep Learning Methods to Address Community Question Answering Task
Guoshun Wu | Yixuan Sheng | Man Lan | Yuanbin Wu |

UINSUSKA-TiTech at SemEval-2017 Task 3: Exploiting Word Importance Levels for Similarity Features for CQA
Surya Agustian | Hiroya Takamura |

SUNNYNLP at SemEval-2018 Task 10: A Support-Vector-Machine-Based Method for Detecting Semantic Difference using Taxonomy and Word Embedding Features
Sunny Lai | Kwong Sak Leung | Yee Leung |

Field Of Study

Linguistic Trends

Embeddings

Task

Tagging Chunking

Language

English

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