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1. applicaai/poleval-2018 applicaai/poleval-2018 Public

   Code and data accompanying the paper "Approaching nested named entity recognition with parallel LSTM-CRFs."

   Python 26 6

2. applicaai/contract-discovery applicaai/contract-discovery Public

   Data and additional information regarding the paper: Contract Discovery. Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines (to appear in Findings of EMNLP).

   TeX 29

3. applicaai/multi-property-extraction applicaai/multi-property-extraction Public

   The repository contains model implementations and data described in the paper: From Dataset Recycling to Multi-Property Extraction and Beyond.

   Python 6

4. applicaai/successive-halving-topk applicaai/successive-halving-topk Public

   A fast and highly accurate differentiable Top-k operator from the "Successive Halving Top-k Operator" AAAI'21 paper.

   Python 16 1

5. due-benchmark/baselines due-benchmark/baselines Public

   The code related to the baselines from NeurIPS 2021 paper "DUE: End-to-End Document Understanding Benchmark."

   Python 35 4

6. applicaai/pyramidions applicaai/pyramidions Public

   This repository contains a demonstrative implementation for pooling-based models, e.g., DeepPyramidion complementing our paper "Sparsifying Transformer Models with Trainable Representation Pooling."

   Python 14