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07/13/2023
MegaWika: Millions of reports and their sources across 50 diverse languages
To foster the development of new models for collaborative AI-assisted re...
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12/19/2022
On Event Individuation for Document-Level Information Extraction
As information extraction (IE) systems have grown more capable at whole-...
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10/12/2022
Iterative Document-level Information Extraction via Imitation Learning
We present a novel iterative extraction (IterX) model for extracting com...
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09/14/2021
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction
Zero-shot cross-lingual information extraction (IE) describes the constr...
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04/12/2021
Joint Universal Syntactic and Semantic Parsing
While numerous attempts have been made to jointly parse syntax and seman...
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03/18/2021
Decomposing and Recomposing Event Structure
We present an event structure ontology empirically derived from inferent...
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03/03/2021
Gradual Fine-Tuning for Low-Resource Domain Adaptation
Fine-tuning is known to improve NLP models by adapting an initial model ...
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01/28/2021
LOME: Large Ontology Multilingual Extraction
We present LOME, a system for performing multilingual information extrac...
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10/20/2020
Natural Language Inference with Mixed Effects
There is growing evidence that the prevalence of disagreement in the raw...
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10/15/2020
Montague Grammar Induction
We propose a computational modeling framework for inducing combinatory c...
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04/08/2020
Frequency, Acceptability, and Selection: A case study of clause-embedding
We investigate the relationship between the frequency with which verbs a...
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10/22/2019
Transductive Parsing for Universal Decompositional Semantics
We introduce a transductive model for parsing into Universal Decompositi...
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09/30/2019
The Universal Decompositional Semantics Dataset and Decomp Toolkit
We present the Universal Decompositional Semantics (UDS) dataset (v1.0),...
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08/14/2019
The lexical and grammatical sources of neg-raising inferences
We investigate neg(ation)-raising inferences, wherein negation on a pred...
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02/27/2019
A Framework for Decoding Event-Related Potentials from Text
We propose a novel framework for modeling event-related potentials (ERPs...
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02/04/2019
Fine-Grained Temporal Relation Extraction
We present a novel semantic framework for modeling temporal relations an...
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01/31/2019
Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements
We present a novel semantic framework for modeling linguistic expression...
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08/19/2018
Lexicosyntactic Inference in Neural Models
We investigate neural models' ability to capture lexicosyntactic inferen...
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04/23/2018
Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations
We present a large scale unified natural language inference (NLI) datase...
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04/06/2018
Neural models of factuality
We present two neural models for event factuality prediction, which yiel...
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10/08/2016