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检索条件"任意字段=Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing"
951 条 记 录,以下是41-50 订阅
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Multi-document summarization using bipartite graphs  9
Multi-document summarization using bipartite graphs
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9th workshop on graph-based methods for natural language processing, Textgraphs 2014, in conjunction with the Conference on Empirical methods in natural language processing, EMNLP 2014
作者: Parveen, Daraksha Strube, Michael Heidelberg Institute for Theoretical Studies gGmbH Schloss-Wolfsbrunnenweg 35 Heidelberg69118 Germany
In this paper, we introduce a novel graph based technique for topic based multidocument summarization. We transform documents into a bipartite graph where one set of nodes represents entities and the other set of node... 详细信息
来源: 评论
Node embeddings for graph merging: Case of knowledge graph construction  13
Node embeddings for graph merging: Case of knowledge graph c...
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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: Szubert, Ida Steedman, Mark School of Informatics University of Edinburgh Edinburgh United Kingdom
Combining two graphs requires merging the nodes which are counterparts of each other. In this process errors occur, resulting in incorrect merging or incorrect failure to merge. We find a high prevalence of such error... 详细信息
来源: 评论
Scalable graph-based method for individual named entity identification  13
Scalable graph-based method for individual named entity iden...
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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: Khalife, Sammy Vazirgiannis, Michalis LIX CNRS Ecole Polytechnique Institut Polytechnique de Paris Palaiseau91128 France
In this paper, we consider the named entity linking (NEL) problem. We assume a set of queries, named entities, that have to be identified within a knowledge base. This knowledge base is represented by a text database ... 详细信息
来源: 评论
Identifying supporting facts for multi-hop question answering with document graph networks  13
Identifying supporting facts for multi-hop question answerin...
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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: Thayaparan, Mokanarangan Valentino, Marco Schlegel, Viktor Freitas, Andre Department of Computer Science University of Manchester United Kingdom
Recent advances in reading comprehension have resulted in models that surpass human performance when the answer is contained in a single, continuous passage of text. However, complex Question Answering (QA) typically ... 详细信息
来源: 评论
Red dragon AI at Textgraphs 2019 shared task: language model assisted explanation generation  13
Red dragon AI at TextGraphs 2019 shared task: Language model...
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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: Chia, Yew Ken Witteveen, Sam Andrews, Martin Red Dragon AI Singapore Singapore
The Textgraphs-13 Shared Task on Explanation Regeneration (Jansen and Ustalov, 2019) asked participants to develop methods to reconstruct gold explanations for elementary science questions. Red Dragon AI's entries... 详细信息
来源: 评论
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
来源: 评论
Joint semantic and distributional word representations with multi-graph embeddings  13
Joint semantic and distributional word representations with ...
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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: Moreux, Pierre-Daix Galle, Matthias Ubisoft Entertainment SA France Naver Labs Europe France
Word embeddings continue to be of great use for NLP researchers and practitioners due to their training speed and easiness of use and distribution. Prior work has shown that the representation of those words can be im... 详细信息
来源: 评论
graph-based clustering for computational linguistics: A survey  48
Graph-based clustering for computational linguistics: A surv...
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5th workshop on graph-based methods for natural language processing, Textgraphs 2010
作者: Chen, Zheng Ji, Heng Graduate Center City University of New York United States Graduate Center Queens College City University of New York United States
In this survey we overview graph-based clustering and its applications in computational linguistics. We summarize graph-based clustering as a five-part story: hypothesis, modeling, measure, algorithm and evaluation. W... 详细信息
来源: 评论
graph-based event coreference resolution
Graph-based event coreference resolution
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4th workshop on graph-based methods for natural language processing, Textgraphs 2009
作者: Chen, Zheng Ji, Heng Graduate Center City University of New York United States Graduate Center Queens College City University of New York United States
In contrast to entity coreference resolution, event coreference resolution has not received great attention from researchers. In this paper, we first demonstrate the diverse scenarios of event coreference by an exampl... 详细信息
来源: 评论
《科学计算与MATLAB语言》课程知识图谱的构建
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智能计算机与应用 2025年 第2期15卷 116-123页
作者: 李子亮 李兴春 五邑大学 电子与信息工程学院广东江门529020
在建设教育强国和推进教育数字化的背景下,知识图谱在教育领域展现出巨大的潜力。针对《科学计算与MATLAB语言》课程内容复杂、知识点分散,学生学习难度大等问题,研究分析该课程的知识结构和学习需求,提出构建课程知识图谱,以系统化、... 详细信息
来源: 评论