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Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions
- Dongyeop Kang, Andrew Head, Risham Sidhu, Kyle Lo, Daniel S. Weld, Marti A. Hearst
- Computer ScienceSDP
- 11 October 2020
This paper develops a new definition detection system, HEDDEx, that utilizes syntactic features, transformer encoders, and heuristic filters, and evaluates it on a standard sentence-level benchmark and notes that performance on the high-recall document-level task is much lower than in the standard evaluation approach.
Fine-Grained Lineage for Safer Notebook Interactions
- Stephen Macke, Hongpu Gong, D. Lee, Andrew Head, Doris Xin, Aditya G. Parameswaran
- Computer ScienceProc. VLDB Endow.
- 13 December 2020
NBSafety is presented, a custom Jupyter kernel that uses runtime tracing and static analysis to automatically manage lineage associated with cell execution and global notebook state and prevents errors that users make during unaided notebook interactions, all while preserving the flexibility of existing notebook semantics.
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks
This work introduces multiple new methods for augmenting recommendations with textual relevance messages that highlight knowledge-graph connections between recommended papers and a user’s publication and interaction history and develops a novel method that highlights connections with proxy authors of interest to users.
Cs 294-115 Algorithmic Human-robot Interaction 5.1.2 Components of an Experiment
- Andrew Head
- Computer Science
It is recommended that rigorous experimental design become more commonplace in robotics and is important to compare new algorithms’ performance to competing algorithms, and not all technical works do this to the right extent.
Math Augmentation: How Authors Enhance the Readability of Formulas using Novel Visual Design Practices
A comprehensive inventory of the kinds of maugs that appear in math documents, and a detailed account of how authors’ tools ought to be redesigned to support efficient creation of math augmentations are contributed.
e-Chimera : Rapid In-Situ Mobile Experimentation through Integrated Design , Test , and Deployment
E-Chimera, a visual end-user programming environment for designing and prototyping experiments on mobile devices that integrates design, test, deployment, and analysis of mobile experiments, is presented and found effective and easy to use.
Scim: Intelligent Faceted Highlights for Interactive, Multi-Pass Skimming of Scientific Papers
- Raymond Fok, Andrew Head, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Daniel S. Weld
- Computer ScienceArXiv
- 9 May 2022
Scim is presented, an AI-augmented reading interface designed to help researchers skim papers by automatically identifying, classifying, and highlighting salient sentences, organized into rhetorical facets rooted in common information needs.
Jupyter’s Archive: Searchable Output Histories for Computational Notebooks
The Output Archive is introduced, a thumbnailbased output history built into Jupyter Lab that automatically records all outputs produced over the lifetime of a notebook and makes the code that produced them available, and a new class of grouping filters which allows users to navigate large output histories by clustering outputs based on similarities in their underlying code.