24 citations · 37 across the 31 of their papers we have counts for
8 papers · 1 filter
Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords
Taelin Karidi, Yichu Zhou, Nathan Schneider +2
We present a method for exploring regions around individual points in a contextualized vector space (particularly, BERT space), as a way to investigate how these regions correspond…
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study
Mattia Medina Grespan, Ashim Gupta, Vivek Srikumar
Symbolic knowledge can provide crucial inductive bias for training neural models, especially in low data regimes. A successful strategy for incorporating such knowledge involves re…
X-FACT: A New Benchmark Dataset for Multilingual Fact Checking
Ashim Gupta, Vivek Srikumar
In this work, we introduce X-FACT: the largest publicly available multilingual dataset for factual verification of naturally existing real-world claims. The dataset contains short…
Database Workload Characterization with Query Plan Encoders
Debjyoti Paul, Jie Cao, Feifei Li +1
Smart databases are adopting artificial intelligence (AI) technologies to achieve {\em instance optimality}, and in the future, databases will come with prepackaged AI models withi…
DirectProbe: Studying Representations without Classifiers
Yichu Zhou, Vivek Srikumar
Understanding how linguistic structures are encoded in contextualized embedding could help explain their impressive performance across NLP@. Existing approaches for probing them us…
Incorporating External Knowledge to Enhance Tabular Reasoning
J. Neeraja, Vivek Gupta, Vivek Srikumar
Reasoning about tabular information presents unique challenges to modern NLP approaches which largely rely on pre-trained contextualized embeddings of text. In this paper, we study…