neat/docs/User_Guide.md

User Guide

version 0.1

Table of contents

1. Introduction

2. User Guide

3. FAQ

1. Introduction

neath is a simple, browser-based tool for editing and annotating text with named entities to produce a corpus for training/testing/evaluation. It can be used to add or correct named entity BIO-tags in a TSV file and to correct the token text or tokenization (e.g. due to OCR/segmentation errors).

neath is developed at the Berlin State Library for data annotation in the context of the SoNAR-IDH project and the QURATOR project.

2. User Guide

Technical Requirements

neath runs locally as a pure HTML+JavaScript webpage in your web browser. No software needs to be installed, but JavaScript has to be enabled in the browser. Any fairly recent browser should work, but only Chrome and Firefox are tested.

Data format

The data format is based on the format used in the GermEval2014 Named Entity Recognition Shared Task. Text is encoded as one token per line, with name spans encoded in the BIO-scheme, provided as tab-separated values:

• the first column contains either a #, which signals the source the sentence is cited from, or
• the token position within the sentence >=1
• sentence boundaries are indicated by 0
• the second column contains the token text
• outer entity spans are encoded in the third column NE-TAG
• embedded entity spans are encoded in the fourth column NE-EMB

Example (simple):

No.	TOKEN	NE-TAG	NE-EMB
# https://example.url
1	Donnerstag	O	O
2	,	O	O
3	1	O	O	
4	.	O	O	
5	Januar	O	O	
6	.	O	O		
0		O	O
1	Berliner	B-ORG	B-LOC	
2	Tageblatt	I-ORG	O	
3	.	O	O		
0		O	O
1	Nr	O	O	
2	.	O	O		
3	1	O	O	
4	.	O	O	
0		O	O
1	Seite	O	O
2	3	O	O

For our purposes we extend this format by adding

• a fifth column for an ID for the outer NE-TAG from an authority file (in this case, the GND is used)
• column six for use as a variable url_id (see Image Support for further details)
• finally, columns 7+ are used for storing left,right,top,bottom pixel coordinates for facsimile snippets

Example (full):

No.	TOKEN	NE-TAG	NE-EMB	GND-ID	url_id	left,right,top,bottom
# https://example.url/iiif/left,right,top,bottom/full/0/default.jpg
1	Donnerstag	O	O	-	0	174,352,358,390
2	,	O	O	-	0	174,352,358,390	
3	1	O	O	-	0	367,392,361,381
4	.	O	O	-	0	370,397,352,379
5	Januar	O	O	-	0	406,518,358,386
6	.	O	O	-	0	406,518,358,386	
0
1	Berliner	B-ORG	B-LOC	1086206452	0	816,984,358,388
2	Tageblatt	I-ORG	O	1086206452	0	1005,1208,360,387
3	.	O	O	-	0	1005,1208,360,387
0
1	Nr	O	O	-	0	1237,1288,360,382
2	.	O	O	-	0	1237,1288,360,382
3	1	O	O	-	0	1304,1326,361,381
4	.	O	O	-	0	1304,1326,361,381
0
1	Seite	O	O	-	0	1837,1926,361,392
2	3	O	O	-	0	1939,1967,364,385

Data preparation

The processing pipeline applied is documented in Provenance.

We also provide some Python tools that help with data wrangling.

Keyboard - Layout

Key Combi	Action
Left	Move one cell left
Right	Move one cell right
Up	Move one row up
Down	Move one row down
PageDown	Move page down
PageUp	Move page up
----------	--------------------------------------------
s t	Start new sentence in current row
m e	Merge current row with row above
s p	Create copy of current row
d l	Delete current row
----------	--------------------------------------------
backspace	Set NE-TAG / NE-EMB to "O"
b p	Set NE-TAG / NE-EMB to "B-PER"
b l	Set NE-TAG / NE-EMB to "B-LOC"
b o	Set NE-TAG / NE-EMB to "B-ORG"
b w	Set NE-TAG / NE-EMB to "B-WORK"
b c	Set NE-TAG / NE-EMB to "B-CONF"
b e	Set NE-TAG / NE-EMB to "B-EVT"
b t	Set NE-TAG / NE-EMB to "B-TODO"
i p	Set NE-TAG / NE-EMB to "I-PER"
i l	Set NE-TAG / NE-EMB to "I-LOC"
i o	Set NE-TAG / NE-EMB to "I-ORG"
i w	Set NE-TAG / NE-EMB to "I-WORK"
i c	Set NE-TAG / NE-EMB to "I-CONF"
i e	Set NE-TAG / NE-EMB to "I-EVT"
i t	Set NE-TAG / NE-EMB to "I-TODO"
----------	--------------------------------------------
enter	Edit TOKEN or GND-ID
esc	Close TOKEN or GND-ID edit field without
	application of changes.
----------	--------------------------------------------
l a	add one display row
l r	remove on display row (minimum is 5)
----------	--------------------------------------------

Mouse-Navigation

• use mouse wheel to scroll up and down
• use navigation << and >> to move faster

Image Support

Provided facsimile images are available online via the iiif.io Image API, neath supports the embedding of facsimile snippets into its interface to help with data annotation and correction. This further requires that OCR with word segmentation is applied to the image to determine bounding boxes for tokens.

The iiif-image-url contained in the source # can then be used as a replacement for url_id in combination with the token bounding boxes as left,right,top,bottom to obtain the facsimile snippet url and display the image in the leftmost column. Clicking on the facsimile snippet opens up a new tab with a larger context.

Tagging

• adding a tag
• removing a tag
• changing a tag

Text correction

• editing the token text

Tokenization correction

• merging two tokens
• splitting a token
• sentence boundaries

Saving progress

neath runs fully locally in the browser. Therefore it can not automatically save any changes you made to disk. You have to use the Save Changes button in order to so manually from time to time.

If your browser automatically saves all downloads to your Downloads folder, you might want to configure it so that it instead prompts you where to save.

Configuration option in Firefox:

Configuration option in Chrome:

3. FAQ