78 citations · 226 across the 18 of their papers we have counts for
20 papers
NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly
Yi R. Fung, Tuhin Chakraborty, Hao Guo +3
Norm discovery is important for understanding and reasoning about the acceptable behaviors and potential violations in human communication and interactions. We introduce NormSage,…
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…
Leveraging Sparse and Dense Feature Combinations for Sentiment Classification
Tao Yu, Christopher Hidey, Owen Rambow +1
Neural networks are one of the most popular approaches for many natural language processing tasks such as sentiment analysis. They often outperform traditional machine learning mod…
Dialog Structure Through the Lens of Gender, Gender Environment, and Power
Vinodkumar Prabhakaran, Owen Rambow
Understanding how the social context of an interaction affects our dialog behavior is of great interest to social scientists who study human behavior, as well as to computer scient…
Using Natural Language Processing and Qualitative Analysis to Intervene in Gang Violence: A Collaboration Between Social Work Researchers and Data Scientists
Desmond Upton Patton, Kathleen McKeown, Owen Rambow +1
The U.S. has the highest rate of firearm-related deaths when compared to other industrialized countries. Violence particularly affects low-income, urban neighborhoods in cities lik…
Statistical modality tagging from rule-based annotations and crowdsourcing
Vinodkumar Prabhakaran, Michael Bloodgood, Mona Diab +5
We explore training an automatic modality tagger. Modality is the attitude that a speaker might have toward an event or state. One of the main hurdles for training a linguistic tag…
LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual
Mona Diab, Nizar Habash, Owen Rambow +1
The Linguistic Data Consortium (LDC) has developed hundreds of data corpora for natural language processing (NLP) research. Among these are a number of annotated treebank corpora f…
Synchronous Models of Language
Owen Rambow, Giorgio Satta
In synchronous rewriting, the productions of two rewriting systems are paired and applied synchronously in the derivation of a pair of strings. We present a new synchronous rewriti…
D-Tree Grammars
Owen Rambow, K. Vijay-Shanker, David Weir
DTG are designed to share some of the advantages of TAG while overcoming some of its limitations. DTG involve two composition operations called subsertion and sister-adjunction. Th…
A Processing Model for Free Word Order Languages
Owen Rambow, Aravind K. Joshi
Like many verb-final languages, Germn displays considerable word-order freedom: there is no syntactic constraint on the ordering of the nominal arguments of a verb, as long as the…
Parsing Free Word-Order Languages in Polynomial Time
Tilman Becker, Owen Rambow
We present a parsing algorithm with polynomial time complexity for a large subset of V-TAG languages. V-TAG, a variant of multi-component TAG, can handle free-word order phenomena…
The Linguistic Relevance of Quasi-Trees
Anthony Kroch, Owen Rambow
We discuss two constructions (long scrambling and ECM verbs) which challenge most syntactic theories (including traditional TAG approaches) since they seem to require exceptional m…
A Formal Look at Dependency Grammars and Phrase-Structure Grammars, with Special Consideration of Word-Order Phenomena
Owen Rambow, Aravind Joshi
The central role of the lexicon in Meaning-Text Theory (MTT) and other dependency-based linguistic theories cannot be replicated in linguistic theories based on context-free gramma…
The Role of Cognitive Modeling in Achieving Communicative Intentions
Marilyn Walker, Owen Rambow
A discourse planner for (task-oriented) dialogue must be able to make choices about whether relevant, but optional information (for example, the "satellites" in an RST-based planne…
Multiset-Valued Linear Index Grammars: Imposing Dominance Constraints on Derivations
Owen Rambow
This paper defines multiset-valued linear index grammar and unordered vector grammar with dominance links. The former models certain uses of multiset-valued feature structures in u…