labeled examples
Applying Alternating Structure Optimization to Word Sense Disambiguation
... GGS05 combined various kernels, which includes the LSA kernel that exploits unlabeled data with global context features. Our implementation of the LSA kernel with our classifier (and our other fea- tures) also produced ...
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SEG SSC: a framework based on synthetic examples generation for self labeled semi supervised classification
... of labeled examples via a self-learning process based on supervised ...of labeled examples and their distri- bution, which in many cases is sparse and ...both labeled and unlabeled ...
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New Paradigms for Active Learning
... few labeled examples (low querying ...the examples. Besides, starting from few examples, the aggressive learner may not be very robust, and sometimes as more examples are learned the ...
109
Scaling up WSD with Automatically Generated Examples
... that labeled examples could not be created for many of the ...the examples which were generated were as good as manually labeled exam- ples when used to train a supervised WSD ...of ...
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Multitraining support vector machine for image retrieval
... augment labeled examples with unlabeled examples in informa- tion retrieval; and 2) advances in the random subspace method [4] to overcome the small sample size ...unlabeled examples can ...
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Semantic Lexicon Construction: Learning from Unlabeled Data via Spectral Analysis
... This task is sometimes called the semi-automatic con- struction of semantic lexicons, e.g. (Riloff and Shepherd, 1997; Roark and Charniak, 1998; Thelen and Riloff, 2002; Phillips and Riloff, 2002). A common trend in ...
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Universal Sentence Encoder for English
... Training with 1k labeled examples and the transformer sentence embeddings surpasses word- level transfer using the full training set, CNNw2v, and approaches the performance of the best m[r] ...
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For a few dollars less: Identifying review pages sans human labels
... noisily-labeled examples and the use of site- specific cues to improve upon a site-independent classifier are general techniques that may be appli- cable in other large-scale web ...
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MoL 2005 02: The Value of Agreement: a new Boosting Algorithm
... the examples above and in many others, it is relatively hard to obtain a large sample of labeled ...and labeled by humans—a costly and time consuming ...unlabeled examples: examples ...
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Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
... the labeled and unlabeled sets whereas LapSVM solves a single QP (Equa- tion 11) in the size of the labeled set, followed by a linear system (Equation ...
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Word Sense Disambiguation Using Label Propagation Based Semi Supervised Learning
... similar examples should have similar la- ...nearby labeled examples, but also by nearby unlabeled ...few labeled examples are avail- able, and its performance is also better than mono- ...
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Zero Shot Relation Extraction via Reading Comprehension
... reading-comprehension examples as in Figure 2, we first gather labeled examples for the task of relation-slot ...Slot-filling examples are similar to reading-comprehension examples, but ...
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Relation Extraction Using Label Propagation Based Semi Supervised Learning
... nearby labeled examples, but also by nearby unlabeled ...beled examples are not enough to reveal the struc- ture of each ...few labeled data and the coherent struc- ture in unlabeled data was ...
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Cross Domain Sentiment Classification with Target Domain Specific Information
... domain labeled data for learning domain-specific ...domain labeled data, we train the domain-invariant representation based classifier with both the source and target domain labeled data and train ...
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Compensating for Annotation Errors in Training a Relation Extractor
... number of examples. In the case of the ACE 2005 relation mention annotation, since the two annotators annotate around 4500 examples and they agree on 2/3 of them, the total number of all positive ...
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Labeled LDA: A supervised topic model for credit attribution in multi labeled corpora
... introduces Labeled LDA, a topic model that constrains Latent Dirichlet Al- location by defining a one-to-one corre- spondence between LDA’s latent topics and user ...allows Labeled LDA to directly learn ...
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Early-Years Prospective Teachers’ Definitions, Examples and Non-examples of Cylinder and Prism
... non- examples given for prisms (19%) was less than the frequency of three-dimensional non- examples given for cylinders (29%), which is related to prospective teachers’ concept definition of ...non- ...
21
From built examples to attested examples: a syntax-based query for non-specialists
... word(s)) confirm the ideas about why the different options could be theoretically inter- esting for the language learners we described in 3.2. Indeed, searching for a similar structure but a different morpheme retrieved ...
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Examples Supplement
... auto industry by limiting tlDng to have rising labor costs throughout the :japanese ear imports is that the foreign manufac- American industry when the Big Three auto.[r] ...
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Simpson’s Paradox: Examples
... used some examples to show how this phenomenon can occur for continuous, categorical and survival outcomes. If the confounding effects are not addressed appropriately, conclusions obtained from statistical ...
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