[PDF] Top 20 Learning a Stopping Criterion for Active Learning for Word Sense Disambiguation and Text Classification
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Learning a Stopping Criterion for Active Learning for Word Sense Disambiguation and Text Classification
... Fig. 2 shows that the accuracy performance gen- erally increases, but apparently degrades at the it- erations “20”, “80”, “170”, “190”, and “200”, and does not change anymore during the iterations [“130”-“150”] or ... See full document
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Active Learning with Sampling by Uncertainty and Density for Word Sense Disambiguation and Text Classification
... In addition to uncertainty sampling, there is another popular selective sampling scheme, Query-by-committee (Engelson and Dagan, 1999), which generates a committee of classifiers (always more than two classifiers) and ... See full document
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An Intrinsic Stopping Criterion for Committee Based Active Learning
... and classification- change as means to terminate ...to word sense disambiguation and text classification in their ex- ...the learning is halted when there is no difference ... See full document
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Active Learning for Word Sense Disambiguation with Methods for Addressing the Class Imbalance Problem
... the active learner can be referred to as selective sampling, of which two major schemes exist: uncertainty sampling and committee-based ...for text classification (Lewis and Gale, 1994; McCallum and ... See full document
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Using Variance as a Stopping Criterion for Active Learning of Frame Assignment
... of stopping active learning that should be improved: applicability (restricting the usage in certain situation), lack of aggressive stopping (find- ing the stopping points which are too ... See full document
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Experiments on Active Learning for Croatian Word Sense Disambiguation
... There are a number of different AL strategies; refer to Settles (2010) for a comprehensive overview. We employ the pool-based strategy (Lewis and Gale, 1994) using uncertainty sampling. This method uses a small set of ... See full document
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An Empirical Study of the Behavior of Active Learning for Word Sense Disambiguation
... apply active learning to WSD in the literature (Fujii and Inui, 1999; Chklovski and Mihalcea, 2002; Dang, ...the active learning of verb senses in a pool-based ...selection criterion ... See full document
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Neural Sequence Learning Models for Word Sense Disambiguation
... target word w; their instance-based system then compares that representation with those of example sentences annotated with the candidate meanings of ...each sense annotation in the training ...target ... See full document
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Word Independent Context Pair Classification Model for Word Sense Disambiguation
... con- text features and the corresponding statistical dis- tribution are different for each individual ...context classification models for each ambiguous ...context classification which requires a ... See full document
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It Makes Sense: A Wide Coverage Word Sense Disambiguation System for Free Text
... Makes Sense), built using a supervised learning ...machine learning methods or toolkits in the classification ...provide classification mod- els trained with examples collected from ... See full document
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Learning under Covariate Shift for Domain Adaptation for Word Sense Disambiguation
... Learning under covariate shift means the weighted learning using the probability density ratio. Af- ter assigning weight to each instance, we apply the weighted learning method. Conventionally we use ... See full document
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Active Learning with Rationales for Text Classification
... Obviously, these are not necessarily the best weight settings one can achieve; the optimal settings for r and o depend on many factors, such as the ex- tent of the knowledge of the labeler (i.e., how many words a labeler ... See full document
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A New Intelligent Topic Extraction Model on Web
... for word sense disambiguation of words in the learning resources documents and ii) it mapping the data space of the original method to a vector space of sentence, improving the original OPTICS ... See full document
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An Empirical Evaluation of Knowledge Sources and Learning Algorithms for Word Sense Disambiguation
... The SVM (Vapnik, 1995) performs optimization to find a hyperplane with the largest margin that sep- arates training examples into two classes. A test example is classified depending on the side of the hyperplane it lies ... See full document
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Semi-Supervised Learning for Word Sense Disambiguation: Quality vs. Quantity
... In the present paper, we will investigate a semi- supervised approach to WSD. Semi-supervised learn- ing starts with a supervised learner trained on avail- able data. In a second step, data are added from au- tomatically ... See full document
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Word Sense Disambiguation Using Label Propagation Based Semi Supervised Learning
... in learning procedure with the requirement of predefined sense inventory for target ...in learning process: (1) using external re- sources, ...disambiguate word senses or automatically ... See full document
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Word Sense Disambiguation for Malayalam in a Conditional Random Field Framework
... Malayalam Word Sense ...fixed word order and free word order. In fixed word order the words constituting a sentence can be positioned in a sentence according to grammatical rules in ... See full document
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Automatic Determination of a Domain Adaptation Method for Word Sense Disambiguation Using Decision Tree Learning
... Table 5 lists the average accuracies of WSD when the original methods were used collectively. The average accuracies were calculated from 232,116 word tokens in 144 cases. (They were micro- averaged over the ... See full document
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Automatic Domain Assignment for Word Sense Alignment
... of sense de- scriptions of the words ...basic sense descriptions with addi- tional information such as hypernyms, synonyms and domain or category ... See full document
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Instance Based Learning with Automatic Feature Selection Applied to Word Sense Disambiguation
... paper dvi ????????? ?? ??? ???????????????????????????? ?"!?#%$&??')(??*?"?+ ?,????*?"$??"? /??0+?? 1?2?+')? #43?3?0??+???5?2'76 '8?"?9 /???????? ;?+??? (=$??*?"?+'>? ?A@"B?@DCFEHGJILKNMPO?I Q?R[.] ... See full document
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