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Found 5 papers, 3 papers with code
Transition-Based Dependency Parsing using Perceptron Learner
Syntactic parsing using dependency structures has become a standard technique in natural language processing with many different parsing models, in particular data-driven models that can be trained on syntactically annotated corpora.
RWR-GAE: Random Walk Regularization for Graph Auto Encoders
Node embeddings have become an ubiquitous technique for representing graph data in a low dimensional space.
Ranked #2 on
Graph Clustering
on Pubmed
Resources for the Detection of Conventionalized Metaphors in Four Languages
The extraction rules operate on the output of a dependency parser and identify the grammatical configurations (such as a verb with a prepositional phrase complement) that are likely to contain conventional metaphors.
The CMU METAL Farsi NLP Approach
While many high-quality tools are available for analyzing major languages such as English, equivalent freely-available tools for important but lower-resourced languages such as Farsi are more difficult to acquire and integrate into a useful NLP front end.
Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization
We also experimented with 2 forms of document pre-processing that we call light filtering and co-reference normalization.
