Demo
# To Attend Or Not To Attend
## Anaylsis and replication attempt of the case study
An original presentation by Leso_KN. Translated from German by Leso_KN.
### Agenda
* Introduction
* Technical Approach
* Field Test
* Evaluation
* Prospects
## Introduction
## `____________________________________________`
### The Project
* Detection of similarities between two sentences
* Detection of paraphrases
* Case study
* Which model generates the best results?
* Scope for this analysis:Similarity of two sentences
## Technical Approach
## > python main.py
### Technical Approach
* Classical approach: Linear
* Alternative approach: Trees
* Motivation:The assumption, that trees contain more linguistic informationthan linear models
* Libraries: Python 3, pytorch, scipy and Stanford Parser
* Stanford Constituency Parser
* T-LSTM
* Comparison: MDA ⬌ PA
* Best behaviour: PA-model
### Technical Approach
## Field Test
## > Test()
### Evaluation
* **Replicability**
* Was it possible to just run the code?
out-of-the-box experience?
* No..
* **Traceability**
* Were the results the same?
* Yes!
* But: The uploaded code was incomplete!
## Prospects
## `____________________________________________`
# Many thanks!
### Sources
Docker Logo: https://www.docker.com/sites/default/files/vertical.png
Tree Graphics: Amulya Gupta 2018, https://www.aclweb.org/anthology/attachments/P18-1197.Presentation.pdf
**See also**
https://www.aclweb.org/anthology/P18-1197/
Autor: Leso_KN (000000) – Semester: 0
WiSe '19/20 – Applied Methods of Natural Language Processing, Prof. Doc. John Doe
This is a DEMO – Copyright (c) Lesosoftware 2020