The rapid development of new media results in a lot of redundant information,increasing the difficulty of quickly obtaining useful information and browsing
This paper describes a mixing model of joint POS tagging and chunking for Kazakh where partial optimal solution provide feature information for joint model.
In this paper,we propose a neural graph-based dependency parsing model which utilizes hierarchical LSTM networks on character level and word level to learn
Traditional Mongolian Unicode Encoding has serious problems as several pairs of vowels with the same glyphs but different pronunciations are coded different
This paper describes an approach to identify suspected cybermob on social media.Many researches involve making predictions of group emotion on Internet(such
在利用大规模双语语料获取复述知识方面,传统的基于"枢轴"方法只能考虑两步以内的复述现象.本文针对已有方法的局限性,对不同语言之间互为翻译的短语对构建翻译关系图,提出基于随机行走N步的复述获取算法,改进已有方法以获取更多潜在的复述知识.本文描述了由汉英短语翻译表构建翻译关系图的方法、基于N步的随机行走算法和基于期望步数的复述短语可信度计算方法.同时,本文提出面向多语言对的翻译关系图扩展方法.在NTC
Most researches to SRL focus on English.It is still a challenge to improve the SRL performance of other language.In this paper,we introduce a two-pass appro
Sentiment analysis on social media represented by Weibo is one of the hotspot research problems in NLP.A comprehensive and systematic fine-grained annotated
近年来基于矩阵分解的协同过滤算法在评分预测上取得的显著成果，但冷启动、数据稀疏等问题仍然未能得到很好的解决，因此如何将评论信息引入推荐系统以缓解上述问题，开始成为
Topic-sentiment mining is a challenging task for many applications.This paper presents a topic-sentiment joint model in order to mine topics and their senti