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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71-80 订阅
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Social (distributed) language modeling, clustering and dialectometry
Social (distributed) language modeling, clustering and diale...
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4th workshop on graph-based methods for natural language processing, Textgraphs 2009
作者: Ellis, David Facebook Palo Alto CA United States
We present ongoing work in a scalable, distributed implementation of over 200 million individual language models, each capturing a single user's dialect in a given language (multilingual users have several models)... 详细信息
来源: 评论
Computing word senses by semantic mirroring and spectral graph partitioning
Computing word senses by semantic mirroring and spectral gra...
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5th workshop on graph-based methods for natural language processing, Textgraphs 2010
作者: Fagerlund, Martin Eld´en, Lars Merkel, Magnus Ahrenberg, Lars Linköping University Linköping Sweden
Using the technique of "semantic mirroring" a graph is obtained that represents words and their translations from a parallel corpus or a bilingual lexicon. The connectedness of the graph holds information ab... 详细信息
来源: 评论
A graph-based approach to skill extraction from text  8
A graph-based approach to skill extraction from text
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8th workshop on graph-based methods for natural language processing, Textgraphs 2013, at the Conference on Empirical methods in natural language processing, EMNLP 2013
作者: Kivimäki, Ilkka Panchenko, Alexander Dessy, Adrien Verdegem, Dries Francq, Pascal Fairon, Cédrick Bersini, Hugues Saerens, Marco ICTEAM Université Catholique de Louvain Belgium CENTAL Université Catholique de Louvain Belgium IRIDIA Université Libre de Bruxelles Belgium Digital Society Laboratory LLC Russia
This paper presents a system that performs skill extraction from text documents. It outputs a list of professional skills that are relevant to a given input text. We argue that the system can be practical for hiring a... 详细信息
来源: 评论
Faceted hierarchy: A new graph type to organize scientific concepts and a construction method  13
Faceted hierarchy: A new graph type to organize scientific 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: Zeng, Qingkai Yu, Mengxia Yu, Wenhao Xiong, Jinjun Shi, Yiyu Jiang, Meng Department of Computer Science and Engineering University of Notre Dame Notre DameIN United States IBM T. J. Watson Research Center Yorktown HeightsNY United States
On a scientific concept hierarchy, a parent concept may have a few attributes, each of which has multiple values being a group of child concepts. We call these attributes facets: classification has a few facets such a... 详细信息
来源: 评论
From visualisation to hypothesis construction for second language acquisition  9
From visualisation to hypothesis construction for second lan...
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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: Malmasi, Shervin Dras, Mark Centre for Language Technology Macquarie University Sydney NSW Australia
One research goal in Second language Acquisition (SLA) is to formulate and test hypotheses about errors and the environments in which they are made, a process which often involves substantial effort;large amounts of d... 详细信息
来源: 评论
Robust and efficient page rank for word sense disambiguation  48
Robust and efficient page rank for word sense disambiguation
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5th workshop on graph-based methods for natural language processing, Textgraphs 2010
作者: De Cao, Diego Basili, Roberto Luciani, Matteo Mesiano, Francesco Rossi, Riccardo Dept. of Computer Science University of Roma Tor Vergata Rome Italy
graph-based methods that are en vogue in the social network analysis area, such as centrality models, have been recently applied to linguistic knowledge bases, including unsupervised Word Sense Disambiguation. Althoug... 详细信息
来源: 评论
Chinese whispers - An efficient graph clustering algorithm and its application to natural language processing problems  1
Chinese whispers - An efficient graph clustering algorithm a...
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1st workshop on graph-based Algorithms for natural language processing, Textgraphs 2006 at Human language Technologies
作者: Biemann, Chris University of Leipzig NLP Department Augustusplatz 10/11 Leipzig04109 Germany
We introduce Chinese Whispers, a randomized graph-clustering algorithm, which is time-linear in the number of edges. After a detailed definition of the algorithm and a discussion of its strengths and weaknesses, the p... 详细信息
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A survey of embedding models of entities and relationships for knowledge graph completion  14
A survey of embedding models of entities and relationships f...
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14th workshop on graph-based methods for natural language processing, Textgraphs 2020, in conjunction with the 28th International Conference on Computational Linguistics, COLING 2020
作者: Nguyen, Dat Quoc VinAI Research Viet Nam
Knowledge graphs (KGs) of real-world facts about entities and their relationships are useful resources for a variety of natural language processing tasks. However, because knowledge graphs are typically incomplete, it... 详细信息
来源: 评论
Do sentence interactions matter? Leveraging sentence level representations for fake news classification  13
Do sentence interactions matter? Leveraging sentence level r...
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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: Vaibhav Annasamy, Raghuram Mandyam Hovy, Eduard Language Technologies Institute School of Computer Science Carnegie Mellon University United States
The rising growth of fake news and misleading information through online media outlets demands an automatic method for detecting such news articles. Of the few limited works which differentiate between trusted vs othe... 详细信息
来源: 评论
Word sense induction by community detection
Word sense induction by community detection
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6th workshop on graph-based methods for natural language processing, Textgraphs 2011
作者: Jurgens, David HRL Laboratories LLC Malibu CA United States Department of Computer Science Malibu University of California Los Angeles United States
Word Sense Induction (WSI) is an unsupervised approach for learning the multiple senses of a word. graph-based approaches to WSI frequently represent word co-occurrence as a graph and use the statistical properties of... 详细信息
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