4 papers
LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing
Dora Jambor, Dzmitry Bahdanau
Semantic parsing is the task of producing structured meaning representations for natural language sentences. Recent research has pointed out that the commonly-used sequence-to-sequ…
LAGr: Labeling Aligned Graphs for Improving Systematic Generalization in Semantic Parsing
Dora Jambor, Dzmitry Bahdanau
Semantic parsing is the task of producing a structured meaning representation for natural language utterances or questions. Recent research has pointed out that the commonly-used s…
Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs
Dora Jambor, Komal Teru, Joelle Pineau +1
Real-world knowledge graphs are often characterized by low-frequency relations - a challenge that has prompted an increasing interest in few-shot link prediction methods. These met…
On a scalable problem transformation method for multi-label learning
Dora Jambor, Peng Yu
Binary relevance is a simple approach to solve multi-label learning problems where an independent binary classifier is built per each label. A common challenge with this in real-wo…