3 citations · 3 across the 5 of their papers we have counts for
8 papers · 1 filter
Empirical Sufficiency Lower Bounds for Language Modeling with Locally-Bootstrapped Semantic Structures
Jakob Prange, Emmanuele Chersoni
In this work we build upon negative results from an attempt at language modeling with predicted semantic structure, in order to establish empirical lower bounds on what could have…
Reanalyzing L2 Preposition Learning with Bayesian Mixed Effects and a Pretrained Language Model
Jakob Prange, Man Ho Ivy Wong
We use both Bayesian and neural models to dissect a data set of Chinese learners' pre- and post-interventional responses to two tests measuring their understanding of English prepo…
UCCA's Foundational Layer: Annotation Guidelines v2.1
Omri Abend, Nathan Schneider, Dotan Dvir +2
This is the annotation manual for Universal Conceptual Cognitive Annotation (UCCA; Abend and Rappoport, 2013), specifically the Foundational Layer. UCCA is a graph-based semantic a…
Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories
Jakob Prange, Nathan Schneider, Vivek Srikumar
Although current CCG supertaggers achieve high accuracy on the standard WSJ test set, few systems make use of the categories' internal structure that will drive the syntactic deriv…
Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics
Daniel Hershcovich, Nathan Schneider, Dotan Dvir +3
Building robust natural language understanding systems will require a clear characterization of whether and how various linguistic meaning representations complement each other. To…
Made for Each Other: Broad-coverage Semantic Structures Meet Preposition Supersenses
Jakob Prange, Nathan Schneider, Omri Abend
Universal Conceptual Cognitive Annotation (UCCA; Abend and Rappoport, 2013) is a typologically-informed, broad-coverage semantic annotation scheme that describes coarse-grained pre…