Developed and Enhanced Spanish NLP Parser

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Developed and Enhanced Spanish NLP Parser

  • Day: 2024-09-12
  • Time: 00:15 to 01:05
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: NLP, Spacy, Spanish, Parser, Entity Extraction

Description

Session Goal: The session aimed to develop and enhance a natural language processing (NLP) parser for Spanish sentences, focusing on entity extraction and dependency analysis.

Key Activities:

  • Installed the Spanish language model (es_core_news_sm) in spaCy to facilitate sentence processing.
  • Analyzed sentence structures, focusing on syntactic components and dependencies, particularly in healthcare contexts.
  • Developed a parser to identify and group key sentence components such as actions, subjects, locations, and institutions.
  • Updated parser logic to improve accuracy in entity extraction, using dependency parsing and named entity recognition (NER).

Achievements:

  • Successfully installed and utilized the Spanish language model in spaCy.
  • Enhanced the parser’s capability to accurately extract and group entities in Spanish sentences, particularly in complex structures.

Pending Tasks:

  • Further refine the parser to handle more complex sentence structures and improve entity recognition accuracy.
  • Test the parser in diverse contexts to ensure robustness and adaptability.

Evidence

  • source_file=2024-09-12.sessions.jsonl, line_number=0, event_count=0, session_id=fdeda6504bd68141f0c76d99da7c14262cd384a27418bfb6e37f9d1c84476eae
  • event_ids: []

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