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09/29/2022
Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionals
Language models are increasingly attracting interest from writers. Howev...
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08/26/2022
Confusion Matrices and Accuracy Statistics for Binary Classifiers Using Unlabeled Data: The Diagnostic Test Approach
Medical researchers have solved the problem of estimating the sensitivit...
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06/01/2021
SemEval-2021 Task 1: Lexical Complexity Prediction
This paper presents the results and main findings of SemEval-2021 Task 1...
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02/21/2021
Inductive logic programming at 30
Inductive logic programming (ILP) is a form of logic-based machine learn...
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02/17/2021
Predicting Lexical Complexity in English Texts
The first step in most text simplification is to predict which words are...
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07/09/2020
Evaluating the Apperception Engine
The Apperception Engine is an unsupervised learning system. Given a sequ...
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06/23/2020
Classifying Referential and Non-referential It Using Gaze
When processing a text, humans and machines must disambiguate between di...
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10/05/2019
Making sense of sensory input
This paper attempts to answer a central question in unsupervised learnin...
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06/23/2019
Inductive general game playing
General game playing (GGP) is a framework for evaluating an agent's gene...
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02/23/2018
Can Neural Networks Understand Logical Entailment?
We introduce a new dataset of logical entailments for the purpose of mea...
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11/13/2017
Learning Explanatory Rules from Noisy Data
Artificial Neural Networks are powerful function approximators capable o...
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12/24/2015
Deep Reinforcement Learning in Large Discrete Action Spaces
Being able to reason in an environment with a large number of discrete a...
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12/03/2015
Deep Reinforcement Learning with Attention for Slate Markov Decision Processes with High-Dimensional States and Actions
Many real-world problems come with action spaces represented as feature ...
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02/21/2015
