44 citations · 76 across the 10 of their papers we have counts for
4 papers · 1 filter
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
Eric Wallace, Jens Tuyls, Junlin Wang +3
Neural NLP models are increasingly accurate but are imperfect and opaque---they break in counterintuitive ways and leave end users puzzled at their behavior. Model interpretation m…
An Improved Neural Baseline for Temporal Relation Extraction
Qiang Ning, Sanjay Subramanian, Dan Roth
Determining temporal relations (e.g., before or after) between events has been a challenging natural language understanding task, partly due to the difficulty to generate large amo…
Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost
Barna Saha, Sanjay Subramanian
Several clustering frameworks with interactive (semi-supervised) queries have been studied in the past. Recently, clustering with same-cluster queries has become popular. An algori…
Improving Generalization in Coreference Resolution via Adversarial Training
Sanjay Subramanian, Dan Roth
In order for coreference resolution systems to be useful in practice, they must be able to generalize to new text. In this work, we demonstrate that the performance of the state-of…