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05/29/2023
Faithfulness Tests for Natural Language Explanations
Explanations of neural models aim to reveal a model's decision-making pr...
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04/14/2023
On representations of real numbers and the computational complexity of converting between such representations
We study the computational complexity of converting one representation o...
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12/01/2022
Principled Multi-Aspect Evaluation Measures of Rankings
Information Retrieval evaluation has traditionally focused on defining p...
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04/05/2022
Fact Checking with Insufficient Evidence
Automating the fact checking (FC) process relies on information obtained...
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09/08/2021
Diagnostics-Guided Explanation Generation
Explanations shed light on a machine learning model's rationales and can...
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03/26/2021
Unsupervised Multi-Index Semantic Hashing
Semantic hashing represents documents as compact binary vectors (hash co...
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03/26/2021
Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering
When reasoning about tasks that involve large amounts of data, a common ...
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12/22/2020
Multi-Head Self-Attention with Role-Guided Masks
The state of the art in learning meaningful semantic representations of ...
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11/25/2020
Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19
This report describes the participation of two Danish universities, Univ...
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09/25/2020
A Diagnostic Study of Explainability Techniques for Text Classification
Recent developments in machine learning have introduced models that appr...
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08/07/2020
Cons-free Programs and Complexity Classes between LOGSPACE and PTIME
Programming language concepts are used to give some new perspectives on ...
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07/01/2020
Unsupervised Semantic Hashing with Pairwise Reconstruction
Semantic Hashing is a popular family of methods for efficient similarity...
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06/17/2020
Factuality Checking in News Headlines with Eye Tracking
We study whether it is possible to infer if a news headline is true or f...
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05/31/2020
Content-aware Neural Hashing for Cold-start Recommendation
Content-aware recommendation approaches are essential for providing mean...
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05/28/2020
A Complete Characterization of Infinitely Repeated Two-Player Games having Computable Strategies with no Computable Best Response under Limit-of-Means Payoff
It is well-known that for infinitely repeated games, there are computabl...
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04/13/2020
Generating Fact Checking Explanations
Most existing work on automated fact checking is concerned with predicti...
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12/27/2019
Encoding word order in complex embeddings
Sequential word order is important when processing text. Currently, neur...
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09/07/2019
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
We contribute the largest publicly available dataset of naturally occurr...
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06/03/2019
Contextually Propagated Term Weights for Document Representation
Word embeddings predict a word from its neighbours by learning small, de...
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06/03/2019
Unsupervised Neural Generative Semantic Hashing
Fast similarity search is a key component in large-scale information ret...
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03/20/2019
Neural Speed Reading with Structural-Jump-LSTM
Recurrent neural networks (RNNs) can model natural language by sequentia...
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03/20/2019
Modelling Sequential Music Track Skips using a Multi-RNN Approach
Modelling sequential music skips provides streaming companies the abilit...
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03/20/2019
Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-Checking
Automatic fact-checking systems detect misinformation, such as fake news...
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03/20/2019
Contextual Compositionality Detection with External Knowledge Bases andWord Embeddings
When the meaning of a phrase cannot be inferred from the individual mean...
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11/09/2017
Higher-order Cons-free Interpreters
Constructor rewriting systems are said to be cons-free if any constructo...
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08/23/2017