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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81-90 订阅
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Semi-supervised Word Sense Disambiguation Using Example Similarity graph  14
Semi-supervised Word Sense Disambiguation Using Example Simi...
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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: Yatabe, Rie Sasaki, Minoru Ibaraki University Japan
Word Sense Disambiguation (WSD) is a well-known problem in the natural language processing. In recent years, there has been increasing interest in applying neural networks and machine learning techniques to solve WSD ... 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
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
From global to local similarities: A graph-based Contextualization Method using Distributional Thesauri  8
From global to local similarities: A Graph-Based Contextuali...
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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: Biemann, Chris Riedl, Martin Computer Science Department Technische Universität Darmstadt Hochschulstrasse 10 DarmstadtD-64289 Germany
After recasting the computation of a distributional thesaurus in a graph-based framework for term similarity, we introduce a new contextualization method that generates, for each term occurrence in a text, a ranked li... 详细信息
来源: 评论
Embedding Senses for Efficient graph-based Word Sense Disambiguation  10
Embedding Senses for Efficient Graph-based Word Sense Disamb...
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10th workshop on graph-based methods for natural language processing, Textgraphs 2016, in conjunction with the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human language Technologies, NAACL-HLT 2016
作者: Piña, Luis Nieto Johansson, Richard University of Gothenburg Sweden
We propose a simple graph-based method for word sense disambiguation (WSD) where sense and context embeddings are constructed by applying the Skip-gram method to random walks over the sense graph. We used this method ... 详细信息
来源: 评论
Automatic extraction of reasoning chains from textual reports  8
Automatic extraction of reasoning chains from textual report...
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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: Sizov, Gleb Öztürk, Pinar Department of Computer Science Norwegian University of Science and Technology Trondheim Norway
Many organizations possess large collections of textual reports that document how a problem is solved or analysed, e.g. medical patient records, industrial accident reports, lawsuit records and investigation reports. ... 详细信息
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graph-based text representation for novelty detection  1
Graph-based text representation for novelty detection
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1st workshop on graph-based Algorithms for natural language processing, Textgraphs 2006 at Human language Technologies
作者: Gamon, Michael Microsoft Research Redmond WA98052 United States
We discuss several feature sets for novelty detection at the sentence level, using the data and procedure established in task 2 of the TREC 2004 novelty track. In particular, we investigate feature sets derived from g... 详细信息
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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
A character-based intersection graph approach to linguistic phylogeny  48
A character-based intersection graph approach to linguistic ...
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5th workshop on graph-based methods for natural language processing, Textgraphs 2010
作者: Enright, Jessica University of Alberta Edmonton AB Canada
Linguists use phylogenetic methods to build evolutionary trees of languages given lexical, phonological, and morphological data. Perfect phylogeny is too restrictive to explain most data sets. Conservative Dollo phylo... 详细信息
来源: 评论
Tibetan Dependency Parsing with graph Convolutional Neural Networks  1
Tibetan Dependency Parsing with Graph Convolutional Neural N...
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1st workshop on Ancient language processing, ALP 2023
作者: An, Bo Institute of Ethnology and Anthropology Chinese Academy of Social Sciences Building 6 Zhongguancun Nandajie 27 Beijing China
Dependency parsing is a syntactic analysis method to analyze the dependency relationships between words in a sentence. The interconnection between words through dependency relationships is typical graph data. Traditio... 详细信息
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