b'Akiko Aizawa'

research

∙ 06/04/2023

Probing Physical Reasoning with Counter-Commonsense Context

In this study, we create a CConS (Counter-commonsense Contextual Size co...

0 Kazushi Kondo, et al. ∙

research

∙ 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...

0 Ankit Satpute, et al. ∙

research

∙ 05/15/2023

SuperDialseg: A Large-scale Dataset for Supervised Dialogue Segmentation

Dialogue segmentation is a crucial task for dialogue systems allowing a ...

0 Junfeng Jiang, et al. ∙

research

∙ 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,...

0 Martin Wessel, et al. ∙

research

∙ 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...

0 Xanh Ho, et al. ∙

research

∙ 12/14/2022

Cross-Modal Similarity-Based Curriculum Learning for Image Captioning

Image captioning models require the high-level generalization ability to...

0 Hongkuan Zhang, et al. ∙

research

∙ 11/29/2022

Which Shortcut Solution Do Question Answering Models Prefer to Learn?

Question answering (QA) models for reading comprehension tend to learn s...

0 Kazutoshi Shinoda, et al. ∙

research

∙ 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...

0 Kazutoshi Shinoda, et al. ∙

research

∙ 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...

0 Moritz Schubotz, et al. ∙

research

∙ 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...

0 Timo Spinde, et al. ∙

research

∙ 10/28/2022

Debiasing Masks: A New Framework for Shortcut Mitigation in NLU

Debiasing language models from unwanted behaviors in Natural Language Un...

0 Johannes Mario Meissner, et al. ∙

research

∙ 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...

0 Kazutoshi Shinoda, et al. ∙

research

∙ 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...

0 Xanh Ho, et al. ∙

research

∙ 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...

0 Timo Spinde, et al. ∙

research

∙ 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...

0 Xanh Ho, et al. ∙

research

∙ 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...

0 Przemyslaw Joniak, et al. ∙

research

∙ 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...

0 Taichi Iki, et al. ∙

research

∙ 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...

0 Andre Greiner-Petter, et al. ∙

research

∙ 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...

0 Kazutoshi Shinoda, et al. ∙

research

∙ 06/28/2021

Keyphrase Generation for Scientific Document Retrieval

Sequence-to-sequence models have lead to significant progress in keyphra...

0 Florian Boudin, et al. ∙

research

∙ 06/06/2021

Embracing Ambiguity: Shifting the Training Target of NLI Models

Natural Language Inference (NLI) datasets contain examples with highly a...

0 Johannes Mario Meissner, et al. ∙

research

∙ 05/29/2021

Maintaining Common Ground in Dynamic Environments

Common grounding is the process of creating and maintaining mutual under...

0 Takuma Udagawa, et al. ∙

research

∙ 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...

0 Taichi Iki, et al. ∙

research

∙ 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...

0 Xanh Ho, et al. ∙

research

∙ 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...

0 Vitou Phy, et al. ∙

research

∙ 10/07/2020

A Linguistic Analysis of Visually Grounded Dialogues Based on Spatial Expressions

Recent models achieve promising results in visually grounded dialogues. ...

0 Takuma Udagawa, et al. ∙

research

∙ 07/28/2020

A System for Worldwide COVID-19 Information Aggregation

The global pandemic of COVID-19 has made the public pay close attention ...

0 Akiko Aizawa, et al. ∙

research

∙ 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...

0 Kenichi Iwatsuki, et al. ∙

research

∙ 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...

0 Kazutoshi Shinoda, et al. ∙

research

∙ 04/04/2020

Prerequisites for Explainable Machine Reading Comprehension: A Position Paper

Machine reading comprehension (MRC) has received considerable attention ...

0 Saku Sugawara, et al. ∙

research

∙ 02/07/2020

Discovering Mathematical Objects of Interest – A Study of Mathematical Notations

Mathematical notation, i.e., the writing system used to communicate conc...

0 Andre Greiner-Petter, et al. ∙

research

∙ 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...

0 Nobuhiro Ito, et al. ∙

research

∙ 11/21/2019

Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets

Existing analysis work in machine reading comprehension (MRC) is largely...

0 Saku Sugawara, et al. ∙

research

∙ 11/18/2019

An Annotated Corpus of Reference Resolution for Interpreting Common Grounding

Common grounding is the process of creating, repairing and updating mutu...

8 Takuma Udagawa, et al. ∙

research

∙ 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...

0 Takuma Udagawa, et al. ∙

research

∙ 05/20/2019

Why Machines Cannot Learn Mathematics, Yet

Nowadays, Machine Learning (ML) is seen as the universal solution to imp...

0 Andre Greiner-Petter, et al. ∙

research

∙ 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...

0 Joeran Beel, et al. ∙

research

∙ 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) ...

0 Junjun Jiang, et al. ∙

research

∙ 08/28/2018

What Makes Reading Comprehension Questions Easier?

A challenge in creating a dataset for machine reading comprehension (MRC...

0 Saku Sugawara, et al. ∙

research

∙ 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...

0 Yi Yu, et al. ∙

research

∙ 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...

0 Andrew Collins, et al. ∙

research

∙ 04/30/2017

A Conditional Variational Framework for Dialog Generation

Deep latent variable models have been shown to facilitate the response g...

0 Xiaoyu Shen, et al. ∙

research

∙ 03/27/2017

Mr. DLib: Recommendations-as-a-Service (RaaS) for Academia

Only few digital libraries and reference managers offer recommender syst...

0 Joeran Beel, et al. ∙

research

∙ 12/19/2014

Leveraging Monolingual Data for Crosslingual Compositional Word Representations

In this work, we present a novel neural network based architecture for i...

0 Hubert Soyer, et al. ∙

Akiko Aizawa

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