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05/24/2023
InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction
Learning template based information extraction from documents is a cruci...
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12/05/2022
POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events
Knowledge about outcomes is critical for complex event understanding but...
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10/16/2022
A General Framework for Auditing Differentially Private Machine Learning
We present a framework to statistically audit the privacy guarantee conf...
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07/31/2022
PASTA: A Dataset for Modeling Participant States in Narratives
The events in a narrative can be understood as a coherent whole via the ...
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06/09/2022
Neural Bregman Divergences for Distance Learning
Many metric learning tasks, such as triplet learning, nearest neighbor r...
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05/24/2022
RevUp: Revise and Update Information Bottleneck for Event Representation
In machine learning, latent variables play a key role to capture the und...
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02/14/2022
Continuously Generalized Ordinal Regression for Linear and Deep Models
Ordinal regression is a classification task where classes have an order ...
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12/27/2021
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech
Learning to understand grounded language, which connects natural languag...
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10/14/2021
Transferring Semantic Knowledge Into Language Encoders
We introduce semantic form mid-tuning, an approach for transferring sema...
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09/15/2021
Discriminative and Generative Transformer-based Models For Situation Entity Classification
We re-examine the situation entity (SE) classification task with varying...
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07/20/2021
Neural Variational Learning for Grounded Language Acquisition
We propose a learning system in which language is grounded in visual per...
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06/30/2021
Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment
We propose a Bi-Directional Manifold Alignment (BDMA) that learns a non-...
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11/16/2020
Sampling Approach Matters: Active Learning for Robotic Language Acquisition
Ordering the selection of training data using active learning can lead t...
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10/22/2020
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick
We show how to learn a neural topic model with discrete random variables...
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10/12/2020
On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language Modeling
We demonstrate the complementary natures of neural knowledge graph embed...
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10/09/2020
Event Representation with Sequential, Semi-Supervised Discrete Variables
Within the context of event modeling and understanding, we propose a new...
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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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02/08/2019
Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization
We present a family of novel methods for embedding knowledge graphs into...
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10/31/2018
SURFACE: Semantically Rich Fact Validation with Explanations
Judging the veracity of a sentence making one or more claims is an impor...
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06/29/2017
Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles
We study how different frame annotations complement one another when lea...
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04/13/2016
Visual Storytelling
We introduce the first dataset for sequential vision-to-language, and ex...
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06/23/2015