5 citations · 10 across the 4 of their papers we have counts for
8 papers
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains
Brodie Mather, Bonnie J Dorr, Adam Dalton +3
We present a generalized paradigm for adaptation of propositional analysis (predicate-argument pairs) to new tasks and domains. We leverage an analogy between stances (belief-drive…
Open-Domain Frame Semantic Parsing Using Transformers
Aditya Kalyanpur, Or Biran, Tom Breloff +4
Frame semantic parsing is a complex problem which includes multiple underlying subtasks. Recent approaches have employed joint learning of subtasks (such as predicate and argument…
To Test Machine Comprehension, Start by Defining Comprehension
Jesse Dunietz, Gregory Burnham, Akash Bharadwaj +3
Many tasks aim to measure machine reading comprehension (MRC), often focusing on question types presumed to be difficult. Rarely, however, do task designers start by considering wh…
Syntax-aware Neural Semantic Role Labeling with Supertags
Jungo Kasai, Dan Friedman, Robert Frank +2
We introduce a new syntax-aware model for dependency-based semantic role labeling that outperforms syntax-agnostic models for English and Spanish. We use a BiLSTM to tag the text w…
Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions
Vinodkumar Prabhakaran, Premkumar Ganeshkumar, Owen Rambow
Understanding how social power structures affect the way we interact with one another is of great interest to social scientists who want to answer fundamental questions about human…
End-to-end Graph-based TAG Parsing with Neural Networks
Jungo Kasai, Robert Frank, Pauli Xu +2
We present a graph-based Tree Adjoining Grammar (TAG) parser that uses BiLSTMs, highway connections, and character-level CNNs. Our best end-to-end parser, which jointly performs su…