Papers with mapping process

3 papers
A Benchmark for Recipe Understanding in Artificial Agents (2024.lrec-main)

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Challenge: a benchmark has been designed to evaluate whether artificial agents are able to understand how to perform everyday activities.
Approach: They propose a benchmark task that maps a recipe to a set of cooking actions that are precise enough to be executed in the simulated kitchen.
Outcome: The proposed benchmark consists of mapping a recipe to a set of cooking actions that is precise enough to be executed in the simulated kitchen and yields the desired dish.
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs (D18-1)

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Challenge: a paper addresses the problem of mapping natural language text to knowledge base entities.
Approach: They propose a model for mapping natural language text to knowledge base entities using a multi-dimensional entity space obtained from a knowledge graph.
Outcome: The proposed model is applied to large-scale text-to-entity mapping and entity classification tasks with state-of-the-art results.
Multi Modal Distance - An Approach to Stemma Generation With Weighting (L18-1)

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Challenge: Stemma generation is a task where manuscripts are copied and copied from each other and from M. Existing methods to generate stemma using unweighted token similarity weighting have been used.
Approach: They propose to use a distance model to weight the texts of M1 and M2 to estimate the most likely tree from a series of mapping processes.
Outcome: The proposed method is small in the experimental scenario(s) it is based on psycholinguistically gained distance matrices of letters in three modalities: vision, audition and motorics.

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