FIRE 2020 EDNIL专题:印度语言新闻中的事件检测

Proceedings of the 12th Annual Meeting of the Forum for Information Retrieval Evaluation Pub Date : 2020-12-16 DOI:10.1145/3441501.3441516

Bhargav Dave, Surupendu Gangopadhyay, Prasenjit Majumder, P. Bhattacharya, S. Sarkar, S. L. Devi

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引用次数: 6

摘要

FIRE 2020 EDNIL的目标是创建一个框架，可用于从英语、印地语、孟加拉语、马拉地语和泰米尔语的新闻文章中检测事件。该轨道包括两项任务:(i)从包含事件的新闻文章中识别一段文本(事件识别)。(ii)从新闻文章中创建事件框架(事件框架提取)。在事件识别任务中识别的事件是人为灾害和自然灾害。在事件框架提取任务中，事件框架由事件类型、人员伤亡、时间、地点和原因组成。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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FIRE 2020 EDNIL Track: Event Detection from News in Indian Languages

The goal of FIRE 2020 EDNIL track was to create a framework which could be used to detect events from news articles in English, Hindi, Bengali, Marathi and Tamil. The track consisted of two tasks: (i) Identifying a piece of text from news articles that contains an event (Event Identification). (ii) Creating an event frame from the news article (Event Frame Extraction). The events that were identified in Event Identification task were Man-made Disaster and Natural Disaster. In Event Frame Extraction task the event frame consists of Event type, Casualties, Time, Place, Reason.

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Proceedings of the 12th Annual Meeting of the Forum for Information Retrieval Evaluation

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