1 citations · 1 across the 6 of their papers we have counts for
11 papers
Discourse Context Predictability Effects in Hindi Word Order
Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal +1
We test the hypothesis that discourse predictability influences Hindi syntactic choice. While prior work has shown that a number of factors (e.g., information status, dependency le…
Dual Mechanism Priming Effects in Hindi Word Order
Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal +1
Word order choices during sentence production can be primed by preceding sentences. In this work, we test the DUAL MECHANISM hypothesis that priming is driven by multiple different…
All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality
William Timkey, Marten van Schijndel
Similarity measures are a vital tool for understanding how language models represent and process language. Standard representational similarity measures such as cosine similarity a…
To Point or Not to Point: Understanding How Abstractive Summarizers Paraphrase Text
Matt Wilber, William Timkey, Marten Van Schijndel
Abstractive neural summarization models have seen great improvements in recent years, as shown by ROUGE scores of the generated summaries. But despite these improved metrics, there…
Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning
Forrest Davis, Marten van Schijndel
A growing body of literature has focused on detailing the linguistic knowledge embedded in large, pretrained language models. Existing work has shown that non-linguistic biases in…
Discourse structure interacts with reference but not syntax in neural language models
Forrest Davis, Marten van Schijndel
Language models (LMs) trained on large quantities of text have been claimed to acquire abstract linguistic representations. Our work tests the robustness of these abstractions by f…