[PDF] Top 20 Word Sense Disambiguation Using Label Propagation Based Semi Supervised Learning
Has 10000 "Word Sense Disambiguation Using Label Propagation Based Semi Supervised Learning" found on our website. Below are the top 20 most common "Word Sense Disambiguation Using Label Propagation Based Semi Supervised Learning".
Word Sense Disambiguation Using Label Propagation Based Semi Supervised Learning
... manually sense-tagged data is an obstacle to supervised word sense dis- ambiguation ...a label propagation based semi- supervised learning algorithm ... See full document
8
A Semi Supervised Feature Clustering Algorithm with Application to Word Sense Disambiguation
... clusters based on the distribution of class labels over ...un- supervised feature clustering method can not uti- lize class label information to guide feature cluster- ing ...strategy, ... See full document
8
Semi Supervised Preposition Sense Disambiguation using Multilingual Data
... is based on representation learning (Bengio et ...transfer learning (Pan and Yang, 2010). First, we train an LSTM-based neural network (Hochreiter and Schmidhuber, 1997) to predict a foreign ... See full document
12
A Semi Supervised Method for Arabic Word Sense Disambiguation Using a Weighted Directed Graph
... In the table 1 below, we report the statistics of the tested data and the obtained rate (Precision, Recall, F-Score) given by the voting procedure (VP) and the collocation measures for 127 am- biguous words. In total we ... See full document
5
Supervised Approach to Word Sense Disambiguation
... Word sense disambiguation has been implemented in many Indian languages like Assamese, Manipuri, Tamil, Malayalam, Hindi, Kannada, Nepali, and Punjabi using various approaches like ... See full document
6
Ye, Wei (2018): Data mining using concepts of independence, unimodality and homophily. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... walk based learning in ...a semi-supervised method for scalable feature learning in ...neighborhood-based learning method based on the lazy random ...decided ... See full document
161
SupWSD: A Flexible Toolkit for Supervised Word Sense Disambiguation
... Word Sense Disambiguation (Navigli, 2009, WSD), is one of the long-standing challenges of Natural Language ...a word in context and a pre-specified sense inven- tory, the task of WSD is ... See full document
6
Word Sense Disambiguation by Combining Labeled Data Expansion and Semi Supervised Learning Method
... -based semi-supervised WSD classifier is constructed by combining the discriminative and generative models trained on both labeled and unlabeled samples (See Fujino et ... See full document
10
Co training for Semi supervised Sentiment Classification Based on Dual view Bags of words Representation
... of semi-supervised learning research is to bootstrap class labels using techniques like self-training, co-training and their ...classifier, based on English corpus and unla- beled ... See full document
10
Semi Supervised Chinese Word Segmentation Using Partial Label Learning With Conditional Random Fields
... the supervised data) and then iteratively decoding the unlabelled data and updating the baseline ...predicted label distribution on unlabeled data and use it as a regularization term in CRF ...to ... See full document
9
A New Minimally Supervised Framework for Domain Word Sense Disambiguation
... gloss-based sense annota- tions, so we could not perform a fine-grained evalu- ...the word items in the ...sports sense in WordNet, while the same applies to half and chip for the business ... See full document
12
Semi-Supervised Learning with Measure Propagation
... As discussed in Section 1, there are two types of priors in SSL—label priors and balance priors. They are useful in the case of imbalanced data sets. We have seen that MP is less sensitive to imbalance compared to ... See full document
60
Supervised Word Sense Disambiguation with Sentences Similarities from Context Word Embeddings
... a word has been rep- resented using a high-dimensional sparse Bag-of- Words (BoW) ...in word embeddings, where words meanings are represented by low-dimensional and dense vectors using deep ... See full document
7
Coupling Label Propagation and Constraints for Temporal Fact Extraction
... extraction based on coupled semi-supervised learning for information extraction (IE) is NELL (Carlson et ...utilizes label propagation as a semi-supervised ... See full document
5
Semi-Supervised Learning for Word Sense Disambiguation: Quality vs. Quantity
... one using all automatically annotated examples: Accuracy im- proves by 13 percent points in the coarse evaluation and by 15 percent points in the fine-grained evalua- ...different sense distribution than ... See full document
6
Relation Extraction Using Label Propagation Based Semi Supervised Learning
... of semi-supervised learning algorithm is introduced, which can effec- tively combine unlabeled data with labeled data in learning process by exploiting manifold structure (cluster structure) ... See full document
8
Semi supervised Word Sense Disambiguation with Neural Models
... Word sense disambiguation (WSD) is a long-standing problem in natural language processing (NLP) with broad ...applications. Supervised, unsupervised, and knowledge-based approaches have ... See full document
12
Semi supervised training of a Kernel PCA Based Model for Word Sense Disambiguation
... the supervised KPCA model are not accurate, the semi-supervised KPCA model out- performs the supervised ...the supervised KPCA model can only predict the most frequent sense for ... See full document
7
Semi Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains
... of semi-supervised learning approaches, co-training and self-training are prob- ably the most ...samples using one (self-training) or two (co-training) classifiers, trained on a smaller set of ... See full document
10
Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation
... target word may better capture the overall context than single part of speech fea- ...intended sense of the noun line. If the target word line is used in the plural form, is preceded by a personal ... See full document
8
Related subjects