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20172022
most citedRanking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs

7 citations · 22 across the 11 of their papers we have counts for

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cs.CL2022

Better Smatch = Better Parser? AMR evaluation is not so simple anymore

Juri Opitz, Anette Frank

Recently, astonishing advances have been observed in AMR parsing, as measured by the structural Smatch metric. In fact, today's systems achieve performance levels that seem to surp…

cs.CL2022

A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation -- through the Lens of Semantic Similarity Rating

Laura Zeidler, Juri Opitz, Anette Frank

Evaluating the quality of generated text is difficult, since traditional NLG evaluation metrics, focusing more on surface form than meaning, often fail to assign appropriate scores…

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…