检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

5 篇 会议

馆藏范围

5 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

4 篇 工学
- 3 篇 计算机科学与技术...
- 3 篇 软件工程
- 1 篇 农业工程
1 篇 理学
- 1 篇 数学
1 篇 农学
- 1 篇 作物学
1 篇 管理学
- 1 篇 图书情报与档案管...

主题

1 篇 iterative method...
1 篇 graphic methods
1 篇 semantics
1 篇 natural language...

机构

1 篇 department of co...
1 篇 telecooperation ...
1 篇 school of comput...
1 篇 dept. of appl. m...
1 篇 dept. of electri...

作者

1 篇 palomar manuel
1 篇 jedynak bruno
1 篇 micol daniel
1 篇 karakos damianos
1 篇 muñoz rafael
1 篇 gurevych iryna
1 篇 zesch torsten
1 篇 ferrández óscar
1 篇 banerjee pratyay

语言

5 篇 英文

检索条件"任意字段=2nd Workshop on Graph-Based Algorithms for Natural Language Processing, TextGraphs 2007"

共 5 条记录，以下是1-10 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

ASU at textgraphs 2019 shared task: Explanation regeneration using language models and iterative re-ranking 13

ASU at TextGraphs 2019 shared task: Explanation regeneration...

引用

13th workshop on graph-based Methods for natural language processing, textgraphs 2019, in conjunction with the 2019 Conference on Empirical Methods in natural language processing and 9th International Joint Conference on natural language processing, EMNLP-IJCNLP 2019

作者： Banerjee, Pratyay School of Computing Informatics and Decision Systems Engineering Arizona State University United States

ISBN: (纸本)9781950737864

In this work we describe the system from natural language processing group at Arizona State University for the textgraphs 2019 Shared Task. The task focuses on Explanation Regeneration, an intermediate step towards general multi-hop inference on large graphs. Our approach consists of modeling the explanation regeneration task as a learning to rank problem, for which we use state-of-theart language models and explore dataset preparation techniques. We utilize an iterative reranking based approach to further improve the rankings. Our system secured 2nd rank in the task with a mean average precision (MAP) of 41.3% on the test set. © 2019 EMNLP-IJCNLP 2019 - graph-based Methods for natural language processing - Proceedings of the 13th workshop. All rights reserved.

关键词： Iterative methods

来源：评论

学校读者我要写书评

暂无评论

Analysis of the wikipedia category graph for NLP applications

Analysis of the wikipedia category graph for NLP application...

引用

2nd workshop on graph-based algorithms for natural language processing, textgraphs 2007

作者： Zesch, Torsten Gurevych, Iryna Telecooperation Division Ubiquitous Knowledge Processing Group Darmstadt University of Technology Hochschulstrabe 10 D-64289 Darmstadt Germany

In this paper, we discuss two graphs in Wikipedia (i) the article graph, and (ii) the category graph. We perform a graphtheoretic analysis of the category graph, and show that it is a scale-free, small world graph like other well-known lexical semantic networks. We substantiate our findings by transferring semantic relatedness algorithms defined on WordNet to the Wikipedia category graph. To assess the usefulness of the category graph as an NLP resource, we analyze its coverage and the performance of the transferred semantic relatedness algorithms.

关键词： natural language processing systems

来源：评论

学校读者我要写书评

暂无评论

HLT-NAACL 2007 - textgraphs 2007: graph-based algorithms for natural language processing, Proceedings of the workshop

HLT-NAACL 2007 - TextGraphs 2007: Graph-Based Algorithms for...

引用

2nd workshop on graph-based algorithms for natural language processing, textgraphs 2007

The proceedings contain 13 papers. The topics discussed include: analysis of the Wikipedia category graph for NLP applications;multi-level association graphs - a new graph-based model for information retrieval;extractive automatic summarization: does more linguistic knowledge make a difference?;time-stamped graphs: evolutionary models of text for multi-document summarization;unigram language models using diffusion smoothing over graphs;transductive structured classification through constrained min-cuts;latent semantic grammar induction: context, projectivity, and prior distributions;learning to transform linguistic graphs;semi-supervised algorithm for human-computer dialogue mining;correlations in the organization of large-scale syntactic dependency networks;DLSITE-2: semantic similarity based on syntactic dependency trees applied to textual entailment;and how difficult is it to develop a perfect spell-checker? a cross-linguistic analysis through complex network approach.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Unigram language models using diffusion smoothing over graphs

Unigram language models using diffusion smoothing over graph...

引用

2nd workshop on graph-based algorithms for natural language processing, textgraphs 2007

作者： Jedynak, Bruno Karakos, Damianos Dept. of Appl. Mathematics and Statistics Center for Imaging Sciences Johns Hopkins University Baltimore MD 21218-2686 United States Dept. of Electrical and Computer Engineering Center for Language and Speech Processing Johns Hopkins University Baltimore MD 21218-2686 United States

We propose to use graph-based diffusion techniques with data-dependent kernels to build unigram language models. Our approach entails building graphs, where each vertex corresponds uniquely to a word from a closed vocabulary, and the existence of an edge (with an appropriate weight) between two words indicates some form of similarity between them. In one of our constructions, we place an edge between two words if the number of times these words were seen in a training set differs by at most one count. This graph construction results in a similarity matrix with small intrinsic dimension, since words with the same counts have the same neighbors. Experimental results from a benchmark task from language modeling show that our method is competitive with the Good-Turing estimator.

关键词： graphic methods

来源：评论

学校读者我要写书评

暂无评论

DLSITE-2: Semantic similarity based on syntactic dependency trees applied to textual entailment

DLSITE-2: Semantic similarity based on syntactic dependency ...

引用

2nd workshop on graph-based algorithms for natural language processing, textgraphs 2007

作者： Micol, Daniel Ferrández, Óscar Muñoz, Rafael Palomar, Manuel Department of Computing Languages and Systems Natural Language Processing and Information Systems Group University of Alicante San Vicente del Raspeig Alicante 03690 Spain

In this paper we attempt to deduce textual entailment based on syntactic dependency trees of a given text-hypothesis pair. The goals of this project are to provide an accurate and fast system, which we have called DLSITE-2, that can be applied in software systems that require a near-realtime interaction with the user. To accomplish this we use MINIPAR to parse the phrases and construct their corresponding trees. Later on we apply syntacticbased techniques to calculate the semantic similarity between text and hypothesis. To measure our method's precision we used the test text corpus set from Second PASCAL Recognising Textual Entailment Challenge (RTE-2), obtaining an accuracy rate of 60.75%.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共1页 << < 1 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：