5 citations · 10 across the 9 of their papers we have counts for
12 papers
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…
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…