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检索条件"任意字段=2nd Workshop on Graph-Based Algorithms for Natural Language Processing, TextGraphs 2007"
5 条 记 录,以下是1-10 订阅
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Analysis of the wikipedia category graph for NLP applications
Analysis of the wikipedia category graph for NLP application...
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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 lik... 详细信息
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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...
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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;extract...
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Unigram language models using diffusion smoothing over graphs
Unigram language models using diffusion smoothing over graph...
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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 voc... 详细信息
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DLSITE-2: Semantic similarity based on syntactic dependency trees applied to textual entailment
DLSITE-2: Semantic similarity based on syntactic dependency ...
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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 DLS... 详细信息
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ASU at textgraphs 2019 shared task: Explanation regeneration using language models and iterative re-ranking  13
ASU at TextGraphs 2019 shared task: Explanation regeneration...
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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
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 ge... 详细信息
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