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06/04/2023
Probing Physical Reasoning with Counter-Commonsense Context
In this study, we create a CConS (Counter-commonsense Contextual Size co...
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05/22/2023
TEIMMA: The First Content Reuse Annotator for Text, Images, and Math
This demo paper presents the first tool to annotate the reuse of text, i...
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05/15/2023
SuperDialseg: A Large-scale Dataset for Supervised Dialogue Segmentation
Dialogue segmentation is a crucial task for dialogue systems allowing a ...
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04/25/2023
Introducing MBIB – the first Media Bias Identification Benchmark Task and Dataset Collection
Although media bias detection is a complex multi-task problem, there is,...
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02/12/2023
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering
To explain the predicted answers and evaluate the reasoning abilities of...
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12/14/2022
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning
Image captioning models require the high-level generalization ability to...
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11/29/2022
Which Shortcut Solution Do Question Answering Models Prefer to Learn?
Question answering (QA) models for reading comprehension tend to learn s...
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11/29/2022
Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question Answering
Question answering (QA) models are shown to be insensitive to large pert...
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11/08/2022
Caching and Reproducibility: Making Data Science experiments faster and FAIRer
Small to medium-scale data science experiments often rely on research so...
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11/07/2022
Exploiting Transformer-based Multitask Learning for the Detection of Media Bias in News Articles
Media has a substantial impact on the public perception of events. A one...
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10/28/2022
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU
Debiasing language models from unwanted behaviors in Natural Language Un...
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10/26/2022
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering
Extractive question answering (QA) models tend to exploit spurious corre...
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10/11/2022
How Well Do Multi-hop Reading Comprehension Models Understand Date Information?
Several multi-hop reading comprehension datasets have been proposed to r...
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09/29/2022
Neural Media Bias Detection Using Distant Supervision With BABE – Bias Annotations By Experts
Media coverage has a substantial effect on the public perception of even...
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09/05/2022
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension
The issue of shortcut learning is widely known in NLP and has been an im...
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07/06/2022
Gender Biases and Where to Find Them: Exploring Gender Bias in Pre-Trained Transformer-based Language Models Using Movement Pruning
Language model debiasing has emerged as an important field of study in t...
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03/15/2022
Do BERTs Learn to Use Browser User Interface? Exploring Multi-Step Tasks with Unified Vision-and-Language BERTs
Pre-trained Transformers are good foundations for unified multi-task mod...
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01/24/2022
Comparative Verification of the Digital Library of Mathematical Functions and Computer Algebra Systems
Digital mathematical libraries assemble the knowledge of years of mathem...
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09/23/2021
Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical Overlap
Question answering (QA) models for reading comprehension have been demon...
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06/28/2021
Keyphrase Generation for Scientific Document Retrieval
Sequence-to-sequence models have lead to significant progress in keyphra...
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06/06/2021
Embracing Ambiguity: Shifting the Training Target of NLI Models
Natural Language Inference (NLI) datasets contain examples with highly a...
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05/29/2021
Maintaining Common Ground in Dynamic Environments
Common grounding is the process of creating and maintaining mutual under...
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04/16/2021
Effect of Vision-and-Language Extensions on Natural Language Understanding in Vision-and-Language Models
Extending language models with structural modifications and vision-and-l...
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11/02/2020
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
A multi-hop question answering (QA) dataset aims to test reasoning and i...
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11/01/2020
Deconstruct to Reconstruct a Configurable Evaluation Metric for Open-Domain Dialogue Systems
Many automatic evaluation metrics have been proposed to score the overal...
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10/07/2020
A Linguistic Analysis of Visually Grounded Dialogues Based on Spatial Expressions
Recent models achieve promising results in visually grounded dialogues. ...
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07/28/2020
A System for Worldwide COVID-19 Information Aggregation
The global pandemic of COVID-19 has made the public pay close attention ...
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06/18/2020
Extraction and Evaluation of Formulaic Expressions Used in Scholarly Papers
Formulaic expressions, such as 'in this paper we propose', are helpful f...
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04/07/2020
Variational Question-Answer Pair Generation for Machine Reading Comprehension
We present a deep generative model of question-answer (QA) pairs for mac...
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04/04/2020
Prerequisites for Explainable Machine Reading Comprehension: A Position Paper
Machine reading comprehension (MRC) has received considerable attention ...
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02/07/2020
Discovering Mathematical Objects of Interest – A Study of Mathematical Notations
Mathematical notation, i.e., the writing system used to communicate conc...
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01/08/2020
From Natural Language Instructions to Complex Processes: Issues in Chaining Trigger Action Rules
Automation services for complex business processes usually require a hig...
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11/21/2019
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets
Existing analysis work in machine reading comprehension (MRC) is largely...
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11/18/2019
An Annotated Corpus of Reference Resolution for Interpreting Common Grounding
Common grounding is the process of creating, repairing and updating mutu...
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07/08/2019
A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context
Common grounding is the process of creating, repairing and updating mutu...
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05/20/2019
Why Machines Cannot Learn Mathematics, Yet
Nowadays, Machine Learning (ML) is seen as the universal solution to imp...
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11/26/2018
The Architecture of Mr. DLib's Scientific Recommender-System API
Recommender systems in academia are not widely available. This may be in...
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09/03/2018
Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning
Face hallucination is a technique that reconstruct high-resolution (HR) ...
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08/28/2018
What Makes Reading Comprehension Questions Easier?
A challenge in creating a dataset for machine reading comprehension (MRC...
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05/08/2018
Category-Based Deep CCA for Fine-Grained Venue Discovery from Multimodal Data
In this work, travel destination and business location are taken as venu...
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02/19/2018
A Study of Position Bias in Digital Library Recommender Systems
"Position bias" describes the tendency of users to interact with items o...
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04/30/2017
A Conditional Variational Framework for Dialog Generation
Deep latent variable models have been shown to facilitate the response g...
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03/27/2017
Mr. DLib: Recommendations-as-a-Service (RaaS) for Academia
Only few digital libraries and reference managers offer recommender syst...
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12/19/2014