Similarity-weighted construction of contextualized commonsense knowledge graphs for knowledge-intense argumentation tasks
Arguments often do not make explicit how a conclusion follows from its premises. To
compensate for this lack, we enrich arguments with structured background knowledge to …
compensate for this lack, we enrich arguments with structured background knowledge to …
Uncovering implicit inferences for improved relational argument mining
A Saadat-Yazdi, JZ Pan… - The 17th Conference of the …, 2023 - research.ed.ac.uk
Argument mining seeks to extract arguments and their structure from unstructured texts.
Identifying relations (such as attack, support, and neutral) between argumentative units is a …
Identifying relations (such as attack, support, and neutral) between argumentative units is a …
Kevin: A knowledge enhanced validity and novelty classifier for arguments
Abstract The ArgMining 2022 Shared Task is concerned with predicting the validity and
novelty of an inference for a given premise and conclusion pair. We propose two feed …
novelty of an inference for a given premise and conclusion pair. We propose two feed …
SentenceLDA: Discriminative and Robust Document Representation with Sentence Level Topic Model
T Cha, D Lee - Proceedings of the 18th Conference of the …, 2024 - aclanthology.org
A subtle difference in context results in totally different nuances even for lexically identical
words. On the other hand, two words can convey similar meanings given a homogeneous …
words. On the other hand, two words can convey similar meanings given a homogeneous …
Link Topics from Q&A Platforms using Wikidata: A Tool for Cross-platform Hierarchical Classification
This paper proposes a novel rule-based topic classification tool for questions on Q&A
platforms mediated by the Wikidata ontology–an open and accessible multilingual ontology …
platforms mediated by the Wikidata ontology–an open and accessible multilingual ontology …
MathKnowTopic: Creation of a Unified Knowledge Graph-Based Topic Modeling from Mathematical Text Books
Most of the mathematical text documents are complex to understand and so it is very difficult
to derive meaningful information from the text. In order to overcome this problem …
to derive meaningful information from the text. In order to overcome this problem …