Domain-specific learning and motivational benefits
Learning domain-specific polarity lexicons
... ating domain-specific polarity lexicons is expensive and time- consuming, researchers often use a general purpose or domain- independent ...specific domain and propose a simple yet effective adaptation ...
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A Sequence Learning Method for Domain Specific Entity Linking
... [email protected] Abstract Recent collective Entity Linking studies usually promote global coherence of all the mapped entities in the same document by using semantic embeddings and graph- based approaches. ...
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A Framework for Self-Regulated Learning of Domain-Specific Concepts
... self-regulated learning, individualized learn- ing paths, performance monitoring, relevance perception 1 Introduction One of the most important factors in course design is the development of a concept map [1], ...
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Learning Domain Specific Information Extraction Patterns from the Web
... 4 Data Collection In this research, our goal is to automatically learn IE patterns from a large, domain-independent text collection, such as the Web. The billions of freely available documents on the World Wide ...
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Best Practices for Learning Domain Specific Cross Lingual Embeddings
... to learning cross-lingual em- beddings is to train monolingual embeddings separately for each language and learn a lin- ear projection from the monolingual spaces into a shared space, where the mapping relies on a ...
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Learning to predict script events from domain specific text
... on domain- specific corpora in order to learn particular scripts from a pre-specified domain, although further exper- iments in other domains would help bolster this con- ...a ...
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Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks
... collaborative learning frame- work between a deep adaptation network and a target- specific network for improving unsupervised domain adap- ...target domain only, instead of directly reduc- ...
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A Machine Learning Approach to Building Domain-Specific Search Engines
... machine learning techniques can sig- nificantly aid the creation and maintenance of domain- specific search ...reinforcement learning, text classification and infor- mation extraction towards ...
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Automatic domain-specific learning: towards a methodology for ontology enrichment
... approach is the occasional lack of focus when providing a definition for compound nouns, for instance, which affects the organization of concepts in hierarchies. PACTOLE (Bendaoud et al., 2008) enriches an existing ...
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Domain-Specific Development
... When setting out to implement a DSL you must balance these costs against the expected benefits. You’ll get the benefits when the costs can be paid off from the benefits of applying the approach to ...
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Learning Domain Specific Transfer Rules: An Experiment with Korean to English Translation
... We describe the design of an MT system that em- ploys transfer rules induced from parsed bitexts and present evaluation results. The system learns lexico-structural transfer rules using syntactic pat- tern matching, ...
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L-ISA: Learning Domain Specific Isa-Relations from the Web
... Abstract Automated extraction of ontological knowledge from text corpora is a relevant task in Natural Language Processing. In this paper, we focus on the problem of finding hypernyms for relevant concepts in a ...
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Web Spam Detection Using Machine Learning in Specific Domain Features
... Because of the problems associated with the manual construction of rules, another approach was proposed in [7] to automatically adapt to the changing nature of spam over time and to provide a system that can learn ...
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LearnMet: Learning Domain-Specific Distance Metrics for Plots of Scientific Functions
... (aparna | rundenst | ruiz | maniruzz | sisson)@wpi.edu ABSTRACT Scientific experimental results are often depicted as plots of functions to aid their visual analysis and comparison. In computationally comparing these ...
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CAPTURING APPLICATION-DOMAIN SPECIFIC PATTERNS IN A WEB APPLICATION: THE E-LEARNING PARADIGM
... application- domain specific patterns follows: Step 1: We traverse each site view of the conceptual schema of a specific Web Application modeled with WebML and find the standard (predefined in WebML) ...
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Sex-specific associative learning cues and inclusive fitness benefits in the Seychelles warbler
... fitness benefits would be maximized by subordinates that accurately assess their relatedness to group offspring and preferentially help more closely related ...indirect benefits gained within a cooperative ...
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Learning to Model Domain Specific Utterance Sequences for Extractive Summarization of Contact Center Dialogues
... 5.1 Dialogue Data Since we do not have access to actual contact cen- ter data, we recruited human subjects to collect simulated contact center dialogues. A total of 90 participants (49 males and 41 females) took the ...
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Towards a Standard-based Domain-specific Platform to Solve Machine Learning-based Problems
... single domain-based metamodel, which in turn are defined based on a common meta-metamodel, root of all the elements of any software ...a specific knowledge domain is defined ...machine ...
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Domain-specific and domain-general processes underlying metacognitive judgments
... of learning (Nelson and Dunlosky, 1991). At least in the memory domain, it is known that some aspects of prospective and retrospective metacognitive judgments may depend on dissociable neural substrates to ...
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Building Domain Specific Taggers without Annotated (Domain) Data
... Biomedical domain could differ from WSJ ...new domain, we employed unsupervised learning in the form of EM training, unlike the supervised tagging model development approach of Cucerzan and ...
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