UNAM at SemEval-2018 Task 10: Unsupervised Semantic Discriminative Attribute Identification in Neural Word Embedding Cones.
Ignacio Arroyo-FernándezIván Vladimir Meza RuízCarlos-Francisco Méndez-CruzPublished in: SemEval@NAACL-HLT (2018)
Keyphrases
- sense disambiguation
- word sense disambiguation
- semi supervised
- unsupervised learning
- lexical semantics
- wordnet
- semantic attributes
- weakly supervised
- semantic similarity
- word similarity
- neural network
- word pairs
- syntactic analysis
- word sense
- natural language text
- semantic information
- attribute values
- n gram
- semantic web
- co occurrence
- word segmentation
- natural language processing
- schema matching
- semantic network
- supervised learning
- cross language information retrieval
- network architecture
- syntactic categories
- pointwise mutual information
- semantic knowledge
- discriminative subspace
- sentiment analysis
- vector space
- natural language
- high level
- data hiding
- semantic relationships
- associative memory
- semantic relations
- low level features
- concept space
- dependency relations
- text categorization
- low level
- similarity measure
- feature selection
- machine learning