OpenNMT/OpenNMT-tf

Coverage Mechanism and Coverage Loss

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#180 opened on Jul 25, 2018

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enhancementhelp wanted

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Description

May I ask if there is any plan adding the coverage attention mechanism (https://arxiv.org/pdf/1601.04811.pdf) and coverage loss (https://arxiv.org/pdf/1704.04368.pdf) to the decoder, as these could potentially help alleviating the repetition problem in generation?

Or, any hints on a quick implementation? Thanks!

Contributor guide

Research direction
Read the referenced papers and identify the decoder's current attention mechanism. Implement coverage vectors and coverage loss as described.
Tech stack
pythontensorflow
Domain
backend
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
PythonTensorFlowNeural Machine Translation concepts
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
55