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20192021
most citedRanking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs

7 citations · 7 across the 2 of their papers we have counts for

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cs.CL2024

Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia

Tomás Feith, Akhil Arora, Martin Gerlach +2

Links are a fundamental part of information networks, turning isolated pieces of knowledge into a network of information that is much richer than the sum of its parts. However, add…

cs.CL2021

Generating Hypothetical Events for Abductive Inference

Debjit Paul, Anette Frank

Abductive reasoning starts from some observations and aims at finding the most plausible explanation for these observations. To perform abduction, humans often make use of temporal…

cs.CL2021

COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion

Debjit Paul, Anette Frank

Despite recent successes of large pre-trained language models in solving reasoning tasks, their inference capabilities remain opaque. We posit that such models can be made more int…

cs.CL2021

CO-NNECT: A Framework for Revealing Commonsense Knowledge Paths as Explicitations of Implicit Knowledge in Texts

Maria Becker, Katharina Korfhage, Debjit Paul +1

In this work we leverage commonsense knowledge in form of knowledge paths to establish connections between sentences, as a form of explicitation of implicit knowledge. Such connect…

cs.CL2020

Social Commonsense Reasoning with Multi-Head Knowledge Attention

Debjit Paul, Anette Frank

Social Commonsense Reasoning requires understanding of text, knowledge about social events and their pragmatic implications, as well as commonsense reasoning skills. In this work w…

cs.CL20197 cited

Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs

Debjit Paul, Anette Frank

To make machines better understand sentiments, research needs to move from polarity identification to understanding the reasons that underlie the expression of sentiment. Categoriz…