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JMLR
2012
11 years 10 months ago
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR – a formal representation of its s...
Antoine Bordes, Xavier Glorot, Jason Weston, Yoshu...
LREC
2010
166views Education» more  LREC 2010»
13 years 9 months ago
Corpora for Automatically Learning to Map Natural Language Questions into SQL Queries
Automatically translating natural language into machine-readable instructions is one of major interesting and challenging tasks in Natural Language (NL) Processing. This problem c...
Alessandra Giordani, Alessandro Moschitti
ILP
2004
Springer
14 years 1 months ago
Learning Ensembles of First-Order Clauses for Recall-Precision Curves: A Case Study in Biomedical Information Extraction
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. Our research has focused on Information Extraction (IE), a task that typically invol...
Mark Goadrich, Louis Oliphant, Jude W. Shavlik
HUC
2007
Springer
14 years 1 months ago
Why It's Worth the Hassle: The Value of In-Situ Studies When Designing Ubicomp
How should Ubicomp technologies be evaluated? While lab studies are good at sensing aspects of human behavior and revealing usability problems, they are poor at capturing context o...
Yvonne Rogers, Kay Connelly, Lenore Tedesco, Willi...
IJCAI
2007
13 years 9 months ago
On the Automatic Scoring of Handwritten Essays
Automating the task of scoring handwritten student essays is a challenging problem of AI. The goal is to assign scores which are comparable to those of human scorers even though b...
Sargur N. Srihari, Rohini K. Srihari, Pavithra Bab...