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...
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ISBN:
(纸本)1932432779
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 investigation on the influence of frequency on the lexical organization of verbs;robust and efficient page rank for word sense disambiguation;hierarchical spectral partitioning of bipartite graphs to cluster dialects and identify distinguishing features;a character-based intersection graph approach to linguistic phylogeny;spectral approaches to learning in the graph domain;and cross-lingual comparison between distributionally determined word similarity networks.
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...
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graph-basedmethodsthat 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...
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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...
ISBN:
(纸本)1932432779
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 investigation on the influence of frequency on the lexical organization of verbs;robust and efficient page rank for word sense disambiguation;hierarchical spectral partitioning of bipartite graphs to cluster dialects and identify distinguishing features;a character-based intersection graph approach to linguistic phylogeny;spectral approaches to learning in the graph domain;cross-lingual comparison between distributionally determined word similarity networks;co-occurrence cluster features for lexical substitutions in context;contextually-mediated semantic similarity graphs for topic segmentation;and experiments with CST-based multidocument summarization.
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 ...
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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...
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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...
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Semi-supervised learning is an efficient method to augment training data automatically from unlabeled data. Development of many naturallanguage understanding (NLU) applications has a challenge where unlabeled data is...
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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 ...
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Bootstrapping has recently become the focus of much attention in naturallanguageprocessing to reduce labeling cost. In bootstrapping, unlabeled instances can be harvested from the initial labeled "seed" se...
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