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08/02/2023
Chat Translation Error Detection for Assisting Cross-lingual Communications
In this paper, we describe the development of a communication support sy...
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07/28/2023
Teach Me How to Improve My Argumentation Skills: A Survey on Feedback in Argumentation
The use of argumentation in education has been shown to improve critical...
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05/29/2023
Transformer Language Models Handle Word Frequency in Prediction Head
Prediction head is a crucial component of Transformer language models. D...
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02/16/2023
Empirical Investigation of Neural Symbolic Reasoning Strategies
Neural reasoning accuracy improves when generating intermediate reasonin...
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02/15/2023
Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?
Compositionality is a pivotal property of symbolic reasoning. However, h...
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02/01/2023
Feed-Forward Blocks Control Contextualization in Masked Language Models
Understanding the inner workings of neural network models is a crucial s...
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01/17/2023
Tracing and Manipulating Intermediate Values in Neural Math Problem Solvers
How language models process complex input that requires multiple steps o...
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11/02/2022
Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction
Bi-encoder architectures for distantly-supervised relation extraction ar...
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09/20/2022
Target-Guided Open-Domain Conversation Planning
Prior studies addressing target-oriented conversational tasks lack a cru...
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08/04/2022
N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models
Avoiding the generation of responses that contradict the preceding conte...
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06/16/2022
Balancing Cost and Quality: An Exploration of Human-in-the-loop Frameworks for Automated Short Answer Scoring
Short answer scoring (SAS) is the task of grading short text written by ...
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05/24/2022
Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model
Ensembling is a popular method used to improve performance as a last res...
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05/23/2022
Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond
Natural language processing technology has rapidly improved automated gr...
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05/23/2022
Context Limitations Make Neural Language Models More Human-Like
Do modern natural language processing (NLP) models exhibit human-like la...
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04/04/2022
LPAttack: A Feasible Annotation Scheme for Capturing Logic Pattern of Attacks in Arguments
In argumentative discourse, persuasion is often achieved by refuting or ...
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01/18/2022
COPA-SSE: Semi-structured Explanations for Commonsense Reasoning
We present Semi-Structured Explanations for COPA (COPA-SSE), a new crowd...
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01/18/2022
TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation
Providing feedback on the argumentation of learner is essential for deve...
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10/26/2021
Annotating Implicit Reasoning in Arguments with Causal Links
Most of the existing work that focus on the identification of implicit k...
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09/28/2021
Instance-Based Neural Dependency Parsing
Interpretable rationales for model predictions are crucial in practical ...
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09/15/2021
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models
Transformer architecture has become ubiquitous in the natural language p...
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09/15/2021
Transformer-based Lexically Constrained Headline Generation
This paper explores a variant of automatic headline generation methods, ...
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09/14/2021
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension
How can we generate concise explanations for multi-hop Reading Comprehen...
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09/13/2021
SHAPE: Shifted Absolute Position Embedding for Transformers
Position representation is crucial for building position-aware represent...
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06/02/2021
Lower Perplexity is Not Always Human-Like
In computational psycholinguistics, various language models have been ev...
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06/02/2021
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics
Recently, deep neural networks (DNNs) have achieved great success in sem...
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04/23/2021
Learning to Learn to be Right for the Right Reasons
Improving model generalization on held-out data is one of the core objec...
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04/16/2021
A Comparative Study on Collecting High-Quality Implicit Reasonings at a Large-scale
Explicating implicit reasoning (i.e. warrants) in arguments is a long-st...
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04/15/2021
Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution
The use of pretrained masked language models (MLMs) has drastically impr...
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02/12/2021
Two Training Strategies for Improving Relation Extraction over Universal Graph
This paper explores how the Distantly Supervised Relation Extraction (DS...
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01/26/2021
Exploring Transitivity in Neural NLI Models through Veridicality
Despite the recent success of deep neural networks in natural language p...
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12/08/2020
Efficient Estimation of Influence of a Training Instance
Understanding the influence of a training instance on a neural network m...
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11/04/2020
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents
Neural Machine Translation (NMT) has shown drastic improvement in its qu...
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11/03/2020
Modeling Event Salience in Narratives via Barthes' Cardinal Functions
Events in a narrative differ in salience: some are more important to the...
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11/02/2020
An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution
One critical issue of zero anaphora resolution (ZAR) is the scarcity of ...
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10/13/2020
Corruption Is Not All Bad: Incorporating Discourse Structure into Pre-training via Corruption for Essay Scoring
Existing approaches for automated essay scoring and document representat...
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10/09/2020
Langsmith: An Interactive Academic Text Revision System
Despite the current diversity and inclusion initiatives in the academic ...
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10/07/2020
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction
Existing approaches for grammatical error correction (GEC) largely rely ...
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08/20/2020
Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries
Pretrained language models have been suggested as a possible alternative...
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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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06/08/2020
Evaluation Criteria for Instance-based Explanation
Explaining predictions made by complex machine learning models helps use...
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06/02/2020
Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition
In general, the labels used in sequence labeling consist of different ty...
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05/03/2020
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction
This paper investigates how to effectively incorporate a pre-trained mas...
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05/02/2020
Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese
We examine a methodology using neural language models (LMs) for analyzin...
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04/30/2020
Word Rotator's Distance: Decomposing Vectors Gives Better Representations
One key principle for assessing semantic similarity between texts is to ...
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04/30/2020
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?
Despite the success of language models using neural networks, it remains...
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04/29/2020
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition
Interpretable rationales for model predictions play a critical role in p...
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04/29/2020
Evaluating Dialogue Generation Systems via Response Selection
Existing automatic evaluation metrics for open-domain dialogue response ...
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04/29/2020
Utterance Pair Scoring for Noisy Dialogue Data Filtering
Filtering noisy training data is one of the key approaches to improving ...
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04/21/2020
Attention Module is Not Only a Weight: Analyzing Transformers with Vector Norms
Because attention modules are core components of Transformer-based model...
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11/21/2019