activity
20182021
most citedFrequency, Acceptability, and Selection: A case study of clause-embedding

1 citations · 1 across the 1 of their papers we have counts for

collaborators

6 papers

cs.CL2021

Joint Universal Syntactic and Semantic Parsing

Elias Stengel-Eskin, Kenton Murray, Sheng Zhang +2

While numerous attempts have been made to jointly parse syntax and semantics, high performance in one domain typically comes at the price of performance in the other. This trade-of…

cs.CL2020

Montague Grammar Induction

Gene Louis Kim, Aaron Steven White

We propose a computational modeling framework for inducing combinatory categorial grammars from arbitrary behavioral data. This framework provides the analyst fine-grained control…

cs.CL20201 cited

Frequency, Acceptability, and Selection: A case study of clause-embedding

Aaron Steven White, Kyle Rawlins

We investigate the relationship between the frequency with which verbs are found in particular subcategorization frames and the acceptability of those verbs in those frames, focusi…

cs.CL2019

The lexical and grammatical sources of neg-raising inferences

Hannah Youngeun An, Aaron Steven White

We investigate neg(ation)-raising inferences, wherein negation on a predicate can be interpreted as though in that predicate's subordinate clause. To do this, we collect a large-sc…

cs.CL2018

Lexicosyntactic Inference in Neural Models

Aaron Steven White, Rachel Rudinger, Kyle Rawlins +1

We investigate neural models' ability to capture lexicosyntactic inferences: inferences triggered by the interaction of lexical and syntactic information. We take the task of event…

cs.CL2018

Neural models of factuality

Rachel Rudinger, Aaron Steven White, Benjamin Van Durme

We present two neural models for event factuality prediction, which yield significant performance gains over previous models on three event factuality datasets: FactBank, UW, and M…