Learning to Automatically Solve Algebra Word Problems [paper] [slides] Nate Kushman, Yoav Artzi, Luke Zettlemoyer, Regina Barzilay. ACL-2014. Empirically-motivated Generalizations of CCG Semantic Parsing Learning Algorithms [paper] Jesse Glass and Alexander Yates. EACL-2014. Learning Compact Lexicons...
Finally, we obtain the concatenation of the feature and word as a new representation: ] According to the gates which are introduced to trigger the nugget generator and the event type classifier, we can obtain the final vector as the input: (5) (6)where fTi is the hybrid feature for ...
BFO - Basic Formal Ontology. CCO - Common Core Ontology Suite. TOVE - Toronto Virtual Enterprise Ontologies. VIVO ISF - Researchers and the full context in which they work. yago YAGO is a huge semantic knowledge base, derived from Wikipedia WordNet and GeoNames. dbpediaEducational...
While the seen and unseen classes are disjoint, i.e., Cs∩Ct=∅, the semantic space A are associated with mitigating this challenge, which is spanned by attribute vector or word vector derived from text for each class. The k-dimensional semantic prototypes of seen and unseen classes are ...
We (1) eliminated words without intrinsic meaning, (2) changed the remaining words to their canonical form, (3) applied a set of general rules for manual pre-processing of “semantic network” definitions, and (4) standardized “semantic network” and “semantic net” as a single word “...
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[31] introduced a new explainable word–sentence framework including a word extractor responsible for identifying valuable words through a word classification task, while the sentence generator organizes these words into a well-formed sentence. A summarization-driven approach was proposed by Sumbul et ...
For user’s location, WordNet gave semantic data, such as Home, Work, University, Office or Car. For user’s role, WordNet gives semantic data, such as Citizen, Worker, Student or Driver. We define three classes that represent generic context rules according to the location and the role ...
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Unravel their content intent, word count, readability, keyword density, and other key SEO metrics to make accurate content decision. See How Much Traffic Each Topic Can Bring With Topic Clustering Say goodbye to the manual spreadsheet. LSIGraph Topic Clustering automatically groups similar keywords ...