5 citations · 10 across the 12 of their papers we have counts for
14 papers
Teach Me How to Improve My Argumentation Skills: A Survey on Feedback in Argumentation
Camélia Guerraoui, Paul Reisert, Naoya Inoue +6
The use of argumentation in education has been shown to improve critical thinking skills for end-users such as students, and computational models for argumentation have been develo…
LPAttack: A Feasible Annotation Scheme for Capturing Logic Pattern of Attacks in Arguments
Farjana Sultana Mim, Naoya Inoue, Shoichi Naito +2
In argumentative discourse, persuasion is often achieved by refuting or attacking others arguments. Attacking is not always straightforward and often comprise complex rhetorical mo…
TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation
Shoichi Naito, Shintaro Sawada, Chihiro Nakagawa +6
Providing feedback on the argumentation of the learner is essential for developing critical thinking skills, however, it requires a lot of time and effort. To mitigate the overload…
Annotating Implicit Reasoning in Arguments with Causal Links
Keshav Singh, Naoya Inoue, Farjana Sultana Mim +2
Most of the existing work that focus on the identification of implicit knowledge in arguments generally represent implicit knowledge in the form of commonsense or factual knowledge…
Cleaning Dirty Books: Post-OCR Processing for Previously Scanned Texts
Allen Kim, Charuta Pethe, Naoya Inoue +1
Substantial amounts of work are required to clean large collections of digitized books for NLP analysis, both because of the presence of errors in the scanned text and the presence…
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension
Naoya Inoue, Harsh Trivedi, Steven Sinha +2
How can we generate concise explanations for multi-hop Reading Comprehension (RC)? The current strategies of identifying supporting sentences can be seen as an extractive question-…
A Comparative Study on Collecting High-Quality Implicit Reasonings at a Large-scale
Keshav Singh, Paul Reisert, Naoya Inoue +1
Explicating implicit reasoning (i.e. warrants) in arguments is a long-standing challenge for natural language understanding systems. While recent approaches have focused on explica…
Two Training Strategies for Improving Relation Extraction over Universal Graph
Qin Dai, Naoya Inoue, Ryo Takahashi +1
This paper explores how the Distantly Supervised Relation Extraction (DS-RE) can benefit from the use of a Universal Graph (UG), the combination of a Knowledge Graph (KG) and a lar…
Modeling Event Salience in Narratives via Barthes' Cardinal Functions
Takaki Otake, Sho Yokoi, Naoya Inoue +3
Events in a narrative differ in salience: some are more important to the story than others. Estimating event salience is useful for tasks such as story generation, and as a tool fo…
Corruption Is Not All Bad: Incorporating Discourse Structure into Pre-training via Corruption for Essay Scoring
Farjana Sultana Mim, Naoya Inoue, Paul Reisert +2
Existing approaches for automated essay scoring and document representation learning typically rely on discourse parsers to incorporate discourse structure into text representation…
When Choosing Plausible Alternatives, Clever Hans can be Clever
Pride Kavumba, Naoya Inoue, Benjamin Heinzerling +3
Pretrained language models, such as BERT and RoBERTa, have shown large improvements in the commonsense reasoning benchmark COPA. However, recent work found that many improvements i…
Riposte! A Large Corpus of Counter-Arguments
Paul Reisert, Benjamin Heinzerling, Naoya Inoue +2
Constructive feedback is an effective method for improving critical thinking skills. Counter-arguments (CAs), one form of constructive feedback, have been proven to be useful for c…
R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason
Naoya Inoue, Pontus Stenetorp, Kentaro Inui
Recent studies have revealed that reading comprehension (RC) systems learn to exploit annotation artifacts and other biases in current datasets. This prevents the community from re…
A Corpus of Deep Argumentative Structures as an Explanation to Argumentative Relations
Paul Reisert, Naoya Inoue, Naoaki Okazaki +1
In this paper, we compose a new task for deep argumentative structure analysis that goes beyond shallow discourse structure analysis. The idea is that argumentative relations can r…