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Submission titled Non-neural Structured Prediction for Event Detection from News in Indian Languages for EDNIL 2020 - Event Detection from News in Indian Languages

Home Page: https://ednilfire.github.io/

License: Apache License 2.0

Jupyter Notebook 99.04% Python 0.96%
event-detection natural-language-processing structured-prediction nlp machine-learning multi-lingual indic-languages indian-languages

ednil2020's Introduction

EDNIL2020

Submission titled Non-neural Structured Prediction for Event Detection from News in Indian Languages for EDNIL 2020 - Event Detection from News in Indian Languages

Slides: PDF PPTX

Citation

Shubhanshu Mishra, Non-neural Structured Prediction for Event Detection from News in Indian Languages, in: P. Mehta, T. Mandl, P. Majumder, M. Mitra (Eds.), Working Notes of FIRE 2020 - Forum for Information Retrieval Evaluation, Hyderabad, India, December 16-20, 2020, CEUR Workshop Proceedings, CEUR-WS.org, 2020

Approach

  • Model both tasks as a single Sequence Tagging task
  • Convert the data into the right format
  • Model: N-gram + Regex features → CRF
  • Post-process single model predictions for each task submission

Approach

Results

  • Our approach performed best across all languages and across all tasks.
  • The margin compared to the next best team was often >15% F1-score.

Results

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