Papers by Sam Skjonsberg

4 papers
Construction of the Literature Graph in Semantic Scholar (N18-3)

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Challenge: Fig. 1 summarizes a scalable system for organizing published scientific literature into a heterogeneous graph . authors describe methods used to enable semantic features in www.semanticscholar.org .
Approach: They describe a scalable system for organizing published scientific literature into a heterogeneous graph to facilitate algorithmic manipulation and discovery.
Outcome: The proposed system can be deployed on a scalable platform and report empirical results for each task.
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text (2021.emnlp-main)

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Challenge: Communicating with humans is challenging for AIs because of its complexity and multimodality.
Approach: They propose to use a game of drawing and guessing based on Pictionary to test AIs' understanding of the world and multi-modal gestures.
Outcome: The proposed game is a test for mixing language and visual/symbolic communication in AI.
PAWLS: PDF Annotation With Labels and Structure (2021.acl-demo)

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Challenge: Existing tools for annotation of PDFs are limited to a web browser, allowing users to extract semantically meaningful regions from PDFs.
Approach: They propose an annotation tool specifically designed for Adobe’s Portable Document Format (PDF) PAWLS supports span-based textual annotation, N-ary relations and freeform, non-textual bounding boxes.
Outcome: The proposed tool supports span-based textual annotation, N-ary relations and freeform, non-textual bounding boxes.
SUPP.AI: finding evidence for supplement-drug interactions (2020.acl-demos)

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Challenge: Dietary supplements are used by a large portion of the population, but information on their pharmacologic interactions is incomplete.
Approach: They propose an application to search evidence sentences extracted from the literature to identify supplement-drug interactions.
Outcome: The proposed model extracts supplement information and identifies interactions using labeled DDI data.

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