Anaphora Resolution from Social Media Text in Indian Languages (SocAnaRes-IL)- Overview

S. L. Devi
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引用次数: 1

Abstract

Resolution of anaphors is required for any application which require Natural Language Understanding (NLU) such as Information Extraction, Conversation Analysis, Opinion Mining, Machine Translation etc. The growth of social media platforms such as twitter, facebook for communication between people has led to the creation of huge user generated data different from the normal text data. This is leading to the development of a new challenge and perspective in language technology research. Thus there is great need to develop applications such as Anaphora resolution, co-reference resolution which can be used for the development of NLU systems. This shared task is on Anaphora resolution from the microblog text from Twitter for languages such as Hindi, Tamil and Malayalam (Indian Languages). Also we gave data from English which can be used as resource rich language, if one wants to take Indian languages as resources poor language. There were six registered groups who took data for development and testing but only one group submitted the run. They have used Deep learning for analysis.
从印度语言的社会媒体文本回指解析(SocAnaRes-IL)-概述
任何需要自然语言理解(NLU)的应用,如信息提取、会话分析、意见挖掘、机器翻译等,都需要对仿指进行解析。随着twitter、facebook等社交媒体平台的发展,人们之间的交流产生了大量不同于正常文本数据的用户生成数据。这给语言技术研究带来了新的挑战和新的视角。因此,迫切需要开发诸如回指解析、共指解析等可用于非语言推理系统开发的应用。这个共同的任务是对印地语、泰米尔语和马拉雅拉姆语(印度语言)等语言的微博文本进行回指解析。我们还提供了英语的数据,如果有人想把印度语言当作资源贫乏的语言,英语可以作为资源丰富的语言。有6个注册小组将数据用于开发和测试,但只有一个小组提交了运行。他们使用深度学习进行分析。
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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