ANNIE - Annotation Interface for Named-entity & Information Extraction

ANNIE is a lightweight, Python-based desktop application designed for annotating text files with named entities and directed relations. Built with Tkinter, it offers a user-friendly interface for researchers, linguists, and NLP practitioners to create high-quality annotated datasets for named entity recognition (NER) and relation extraction tasks.

Features

• Entity Annotation: Tag text spans with customizable labels (e.g., Person, Organization, Location).
• Relation Annotation: Define directed relations between entities (e.g., "spouseof", "worksat").
• Batch Processing: Load and annotate multiple .txt files from a directory.
• Entity Propagation: Automatically annotate matching text spans across all files, with optional dictionary-based propagation.
• AI Pre-annotation: Use a pre-trained NER model (requires transformers and torch) for automated entity tagging.
• Entity Merging/Demerging: Merge multiple mentions of the same entity or separate them via right-click.
• Relation Flipping: Reverse the direction of relations with a single click.
• Multi-label & Overlapping Annotations: Optionally allow multiple tags or overlapping annotations.
• Session Management: Save and load annotation sessions to resume work.
• Export/Import: Support for CoNLL-2003 and spaCy JSONL formats for training data.
• Color-coded Visualization: Highlight entities with tag-specific colors; propagated entities are underlined.
• Read-only Text Area: Prevents accidental modifications.
• Hotkey Support: Use keys 0-9 for quick tag selection/relabeling and a for AI pre-annotation.
• Flexible Schema: Customize entity tags and relation types, with save/load functionality.

Getting Started

Prerequisites

• Python: 3.6 or higher.
• Required Libraries: tkinter (included with Python), json, os, shutil, pathlib, uuid, itertools, re, time, threading.
• Optional Libraries: transformers and torch for AI pre-annotation (pip install transformers torch).

Installation

1. Clone this repository or download the source code.
2. Navigate to the project directory.
3. Run the application: bash python annie.py

Basic Usage

1. Loading Files

1. Go to File → Open Directory and select a folder with .txt files.
2. Files load in alphabetical order; the first file displays automatically.
3. Use Previous/Next buttons or click a file in the listbox to navigate.
4. Add files to the session via File → Add File(s) to Session....

2. Entity Annotation

1. Drag to select text or double-click a word in the text area.
2. Choose a tag from the Entity Tag dropdown or press 0-9 to select a tag.
3. Click Annotate Sel to tag the selection.
4. Entities appear in the Entities list and are highlighted with tag-specific colors.
5. Single-click an annotated span to remove it, or select entities and click Remove Sel.
6. Enable Extend to word to snap selections to word boundaries.
7. Relabel entities by selecting them and pressing 0-9.

3. Relation Annotation

1. Select exactly two entities in the Entities list (first = head, second = tail).
2. Choose a relation type from the Relation Type dropdown.
3. Click Add Relation (Head→Tail) to create the relation.
4. Relations appear in the Relations list.
5. Select a relation and click Flip H/T to reverse it or Remove Relation to delete it.

4. Saving Annotations

• Go to File → Save Annotations to export annotations as a JSON file.
• Use File → Save Session to save the entire session (files, annotations, tags).
• Load sessions via File → Load Session....

Advanced Features

Managing Entity Tags and Relation Types

• Use Settings → Manage Entity Tags... or Manage Relation Types... to add, remove, or edit tags/types.
• Save/load schemas via Settings → Save Tag/Relation Schema... or Load Tag/Relation Schema....

Entity Propagation

• Click Propagate Entities to copy entities from the current file to all files.
• Use Settings → Load Dictionary & Propagate Entities... to annotate from a dictionary file (format: text tag, e.g., John Person).

Entity Merging/Demerging

• Select multiple entities and click Merge Sel. to assign them the same ID.
• Right-click an annotated span and select Demerge This Instance to assign a new ID.

AI Pre-annotation

• Press a or go to Settings → Pre-annotate with AI... to tag entities using a pre-trained NER model.
• Requires transformers and torch. Annotations are marked as propagated (underlined).

Import/Export

• Export annotations via File → Export for Training... in CoNLL or JSONL format.
• Import annotations via File → Import Annotations... from CoNLL or JSONL files, creating new .txt files.

Multi-label Annotations

• Enable Settings → Allow Multi-label & Overlapping Annotations to permit overlapping tags.

Data Format

Annotations are stored in JSON format:

json { "file1.txt": { "entities": [ { "id": "a1b2c3...", "start_line": 1, "start_char": 10, "end_line": 1, "end_char": 20, "text": "John Smith", "tag": "Person", "propagated": false } ], "relations": [ { "id": "d4e5f6...", "type": "works_at", "head_id": "a1b2c3...", "tail_id": "g7h8i9..." } ] } }

Session files include additional metadata:

json { "version": "1.12", "files_list": ["file1.txt", "file2.txt"], "current_file_index": 0, "entity_tags": ["Person", "Organization", ...], "relation_types": ["spouse_of", "works_at", ...], "tag_colors": {"Person": "#ffcccc", ...}, "annotations": {...}, "extend_to_word": true, "allow_multilabel_overlap": true }

Tips & Tricks

• Hotkeys: Use 0-9 to select/relabel tags, a for AI pre-annotation, and Delete to remove entities/relations.
• Navigation: Click column headers to sort Entities/Relations lists; type a letter to jump to matching items.
• Workflow: Annotate entities first, then relations; propagate entities early to save time.
• Dictionary Format: Use one entity per line (e.g., New York Location).
• Double-click: Selects a word for quick annotation.
• Read-only Text: Ensures no accidental edits; use mouse or hotkeys for actions.

Troubleshooting

• AI Pre-annotation Fails: Install transformers and torch; ensure a file is loaded.
• Missing Files: Session loading warns about missing files; continue with available ones.
• Overlap Issues: Enable multi-label support in Settings for overlapping annotations.
• Highlighting Issues: Switch files to refresh the display.
• Export Errors: Check write permissions and use .conll or .jsonl extensions.

Version History

• 1.12 (2025):
  • Added AI pre-annotation with Babelscape/wikineural-multilingual-ner.
  • Implemented multi-label and overlapping annotation support.
  • Added demerge functionality via right-click.
  • Made text area read-only to prevent accidental edits.
  • Improved propagation with whitespace handling and underlining for propagated entities.
  • Enhanced double-click/highlight annotation and single-click removal.
  • Added import/export for CoNLL and spaCy JSONL formats.
• 0.75: Double-click and highlight annotation, immutable text area.
• 0.70: Propagated entities flagged and underlined.
• 0.65: Entity search and sorting.
• 0.60: Session save/load for continuous work.

Cite

APA Style

Kovács, T. (2025). ANNIE: Annotation Interface for Named-entity & Information Extraction (Version 1.12) [Computer software]. GitHub. https://github.com/kreeedit/ANNIE

BibTeX

bibtex @software{Kovacs_ANNIE_2025, author = {Kovács, Tamás}, title = {{ANNIE: Annotation Interface for Named-entity & Information Extraction}}, version = {1.12}, publisher = {Zenodo}, year = {2025}, doi = {10.5281/zenodo.15805548}, url = {https://github.com/kreeedit/ANNIE} }

License

Apache 2.0