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swss's Introduction

Semantically Weighted Sentence Similarity (SWSS)

The implementation of Incorporate Semantic Structures into Machine Translation Evaluation via UCCA.

Structure

  • model/
    from TUPA pretrained model
  • vocab/
    from TUPA pretrained model
  • data/
    for data storage
  • align.py
    modified scripts from UCCA
  • meteor5.py
    a self-implemented Meteor (users may want to use other Meteor instead)
  • process.py
    the functions to modify original scores
  • uccamt.py
    the main functions (modify this to get model run on specific dataset)

Dependencies

  • UCCA 1.2.3
  • TUPA 1.4.1
  • nltk 3.4.3
  • Spacy 2.1.3 (higher version may not work) with datasets Spacy en core web md 2.1.0 & Spacy en core web lg 2.1.0

Download

TUPA BiLSTM Model

Spacy en core web md

Spacy en core web lg

swss's People

Contributors

jinxuz avatar

Stargazers

 avatar

Forkers

gyn0806

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