43 citations · 66 across the 13 of their papers we have counts for
6 papers · 1 filter
Ontologically Faithful Generation of Non-Player Character Dialogues
Nathaniel Weir, Ryan Thomas, Randolph D'Amore +3
We introduce a language generation task grounded in a popular video game environment. KNUDGE (KNowledge Constrained User-NPC Dialogue GEneration) requires models to produce trees o…
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning
Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin +4
Visual Question Answering (VQA) models often perform poorly on out-of-distribution data and struggle on domain generalization. Due to the multi-modal nature of this task, multiple…
Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA
Elias Stengel-Eskin, Jimena Guallar-Blasco, Yi Zhou +1
Natural language is ambiguous. Resolving ambiguous questions is key to successfully answering them. Focusing on questions about images, we create a dataset of ambiguous examples. W…
Calibrated Interpretation: Confidence Estimation in Semantic Parsing
Elias Stengel-Eskin, Benjamin Van Durme
Sequence generation models are increasingly being used to translate natural language into programs, i.e. to perform executable semantic parsing. The fact that semantic parsing aims…
Iterative Document-level Information Extraction via Imitation Learning
Yunmo Chen, William Gantt, Weiwei Gu +3
We present a novel iterative extraction model, IterX, for extracting complex relations, or templates (i.e., N-tuples representing a mapping from named slots to spans of text) withi…
Zero-shot Cross-lingual Transfer is Under-specified Optimization
Shijie Wu, Benjamin Van Durme, Mark Dredze
Pretrained multilingual encoders enable zero-shot cross-lingual transfer, but often produce unreliable models that exhibit high performance variance on the target language. We post…