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LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis
- Zejiang Shen, Ruochen Zhang, Melissa Dell, B. Lee, Jacob Carlson, Weining Li
- Computer ScienceICDAR
- 29 March 2021
The core LayoutParser library comes with a set of simple and intuitive interfaces for applying and customizing DL models for layout detection, character recognition, and many other document processing tasks and incorporates a community platform for sharing both pre-trained models and full document digitization pipelines.
Brown University at TREC Deep Learning 2019
Brown University's submission to the TREC 2019 Deep Learning track followed a 2-phase method for producing a ranking of passages for a given input query, using a BERT-based model pre-trained for language modeling but fine-tuned for query - document relevance prediction.
An inexact l2-norm penalty method for cardinality constrained portfolio optimization
A single-period portfolio optimization problem with non-convex constraints is analyzed and an inexact l2-norm penalty method is proposed to solve the problem.
SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain
This paper proposes a new task formulation where, given paragraphs of commentary of a game at different timestamps, the system is asked to recognize the occurrence of in-game events, which allows for rich descriptions of state while avoiding the complexities of many other real-world settings.