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检索条件"任意字段=5th Workshop on Graph-Based Methods for Natural Language Processing, TextGraphs 2010"
16 条 记 录,以下是1-10 订阅
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textgraphs 2010 - 2010 workshop on graph-based methods for natural language processing at the 48th Annual Meeting of the Association for Computational Linguistics, ACL 2010 - Proceedings of the workshop
TextGraphs 2010 - 2010 Workshop on Graph-Based Methods for N...
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2010 workshop on graph-based methods for natural language processing, textgraphs 2010 at the 48th Annual Meeting of the Association for Computational Linguistics, ACL 2010 - Proceedings of the workshop
the proceedings contain 16 papers. the topics discussed include: graph-based clustering for computational linguistics: a survey;towards the automatic creation of a wordnet from a term-based lexical network;an investig... 详细信息
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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
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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
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ACL 2010 - textgraphs 2010: 2010 workshop on graph-based methods for natural language processing, Proceedings of the workshop
ACL 2010 - TextGraphs 2010: 2010 Workshop on Graph-Based Met...
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5th workshop on graph-based methods for natural language processing, textgraphs 2010
the proceedings contain 17 papers. the topics discussed include: graph-based clustering for computational linguistics: a survey;towards the automatic creation of a wordnet from a term-based lexical network;an investig...
来源: 评论
Co-occurrence cluster features for lexical substitutions in context  48
Co-occurrence cluster features for lexical substitutions in ...
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5th workshop on graph-based methods for natural language processing, textgraphs 2010
作者: Biemann, Chris 475 Brannan St Ste. 330 San Francisco CA 94107 United States
this paper examines the influence of features based on clusters of co-occurrences for supervised Word Sense Disambiguation and Lexical Substitution. Cooccurrence cluster features are derived from clustering the local ... 详细信息
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An investigation on the influence of frequency on the lexical organization of verbs  48
An investigation on the influence of frequency on the lexica...
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5th workshop on graph-based methods for natural language processing, textgraphs 2010
作者: Germann, Daniel Cerato Villavicencio, Aline Siqueira, Maity Institute of Informatics Federal University of Rio Grande do Sul Brazil Department of Computer Sciences Bath University United Kingdom Institute of Language Studies Federal University of Rio Grande do Sul Brazil
this work extends the study of Germann et al. (2010) in investigating the lexical organization of verbs. Particularly, we look at the influence of frequency on the process of lexical acquis ition and use. We examine d... 详细信息
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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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graph-based semi-supervised learning for natural language understanding  13
Graph-based semi-supervised learning for natural language un...
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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: Qiu, Zimeng Cho, Eunah Ma, Xiaochun Campbell, William M. Electrical and Computer Engineering Department Carnegie Mellon University United States Amazon Alexa AI
Semi-supervised learning is an efficient method to augment training data automatically from unlabeled data. Development of many natural language understanding (NLU) applications has a challenge where unlabeled data is... 详细信息
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A graph based semi-supervised approach for analysis of derivational nouns in Sanskrit  11
A graph based semi-supervised approach for analysis of deriv...
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11th workshop on graph-based methods for natural language processing, textgraphs 2017, in conjunction with the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017
作者: Krishna, Amrith Satuluri, Pavankumar Ponnada, Harshavardhan Ahmed, Muneeb Arora, Gulab Hiware, Kaustubh Goyal, Pawan School of Linguistics and Literary Studies Chinmaya Vishwavidyapeeth CEG Campus India Dept. of Electrical Engineering Indian Institute of Technology BHU India Dept. of Computer Science and Engineering Indian Institute of Technology Kharagpur India
Derivational nouns are widely used in Sanskrit corpora and is a prevalent means of productivity in the language. Currently there exists no analyser that identifies the derivational nouns. We propose a semi supervised ... 详细信息
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Understanding seed selection in bootstrapping  8
Understanding seed selection in bootstrapping
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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: Ehara, Yo Sato, Issei Oiwa, Hidekazu Nakagawa, Hiroshi Graduate School of Information Science and Technology United States Information Technology Center University of Tokyo / 7-3-1 Hongo Bunkyo-ku Tokyo Japan JSPS Research Fellow Kojimachi Business Center Building 5-3-1 Kojimachi Chiyoda-ku Tokyo Japan
Bootstrapping has recently become the focus of much attention in natural language processing to reduce labeling cost. In bootstrapping, unlabeled instances can be harvested from the initial labeled "seed" se... 详细信息
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