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06/30/2023
The Integer Linear Programming Inference Cookbook
Over the years, integer linear programs have been employed to model infe...
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05/25/2023
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text
Can language models transform inputs to protect text classifiers against...
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05/24/2023
Learning Semantic Role Labeling from Compatible Label Sequences
This paper addresses the question of how to efficiently learn from disjo...
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04/17/2023
An In-depth Investigation of User Response Simulation for Conversational Search
Conversational search has seen increased recent attention in both the IR...
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12/02/2022
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization
Models trained via empirical risk minimization (ERM) are known to rely o...
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09/02/2022
Elaboration-Generating Commonsense Question Answering at Scale
In question answering requiring common sense, language models (e.g., GPT...
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09/23/2021
Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords
We present a method for exploring regions around individual points in a ...
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07/28/2021
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study
Symbolic knowledge can provide crucial inductive bias for training neura...
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06/27/2021
A Closer Look at How Fine-tuning Changes BERT
Given the prevalence of pre-trained contextualized representations in to...
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06/17/2021
X-FACT: A New Benchmark Dataset for Multilingual Fact Checking
In this work, we introduce X-FACT: the largest publicly available multil...
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05/26/2021
Database Workload Characterization with Query Plan Encoders
Smart databases are adopting artificial intelligence (AI) technologies t...
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04/13/2021
DirectProbe: Studying Representations without Classifiers
Understanding how linguistic structures are encoded in contextualized em...
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04/06/2021
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations
Word vector embeddings have been shown to contain and amplify biases in ...
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01/10/2021
BERT Family Eat Word Salad: Experiments with Text Understanding
In this paper, we study the response of large models from the BERT famil...
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12/02/2020
Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories
Although current CCG supertaggers achieve high accuracy on the standard ...
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10/06/2020
UNQOVERing Stereotyping Biases via Underspecified Questions
While language embeddings have been shown to have stereotyping biases, h...
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09/02/2020
A Simple Global Neural Discourse Parser
Discourse parsing is largely dominated by greedy parsers with manually-d...
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06/30/2020
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings
Language representations are known to carry stereotypical biases and, as...
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05/23/2020
Learning Constraints for Structured Prediction Using Rectifier Networks
Various natural language processing tasks are structured prediction prob...
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05/13/2020
INFOTABS: Inference on Tables as Semi-structured Data
In this paper, we observe that semi-structured tabulated text is ubiquit...
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05/01/2020
Structured Tuning for Semantic Role Labeling
Recent neural network-driven semantic role labeling (SRL) systems have s...
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10/05/2019
On the Limits of Learning to Actively Learn Semantic Representations
One of the goals of natural language understanding is to develop models ...
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08/31/2019
A Logic-Driven Framework for Consistency of Neural Models
While neural models show remarkable accuracy on individual predictions, ...
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08/25/2019
On Measuring and Mitigating Biased Inferences of Word Embeddings
Word embeddings carry stereotypical connotations from the text they are ...
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06/30/2019
Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes
Automatically analyzing dialogue can help understand and guide behavior ...
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06/14/2019
Augmenting Neural Networks with First-order Logic
Today, the dominant paradigm for training neural networks involves minim...
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05/27/2019
Learning In Practice: Reasoning About Quantization
There is a mismatch between the standard theoretical analyses of statist...
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06/11/2018
Learning to Speed Up Structured Output Prediction
Predicting structured outputs can be computationally onerous due to the ...
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05/13/2018
Comprehensive Supersense Disambiguation of English Prepositions and Possessives
Semantic relations are often signaled with prepositional or possessive m...
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03/10/2018
Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration
Many recent works have designed accelerators for Convolutional Neural Ne...
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04/07/2017
Adposition Supersenses v2
This document describes an inventory of 50 semantic labels designed to c...
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03/10/2017
Coping with Construals in Broad-Coverage Semantic Annotation of Adpositions
We consider the semantics of prepositions, revisiting a broad-coverage a...
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05/08/2016
A corpus of preposition supersenses in English web reviews
We present the first corpus annotated with preposition supersenses, unle...
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09/23/2015
