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20172023
most citedRanking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs

7 citations · 22 across the 12 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CL2021

Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsing

Sarah Uhrig, Yoalli Rezepka Garcia, Juri Opitz +1

In cross-lingual Abstract Meaning Representation (AMR) parsing, researchers develop models that project sentences from various languages onto their AMRs to capture their essential…

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.AI2021

What is Multimodality?

Letitia Parcalabescu, Nils Trost, Anette Frank

The last years have shown rapid developments in the field of multimodal machine learning, combining e.g., vision, text or speech. In this position paper we explain how the field us…