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document understanding

Document understanding involves document classification, layout analysis, information extraction, and DocQA.

Papers

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Showing 276–300 of 309 papers

TitleStatusHype
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet AllocationCode0
Improving Clinical Document Understanding on COVID-19 Research with Spark NLPCode0
Merge and Recognize: A Geometry and 2D Context Aware Graph Model for Named Entity Recognition from Visual Documents—0
A Survey of Deep Learning Approaches for OCR and Document UnderstandingCode0
WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive SummarizationCode0
Friendly Topic Assistant for Transformer Based Abstractive Summarization—0
A Discrete Variational Recurrent Topic Model without the Reparametrization TrickCode1
MedICaT: A Dataset of Medical Images, Captions, and Textual ReferencesCode1
Attention-Based Graph Neural Network with Global Context Awareness for Document Understanding—0
Hierarchical GPT with Congruent Transformers for Multi-Sentence Language Models—0
Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web—0
Scalable Cross Lingual Pivots to Model Pronoun Gender for Translation—0
TRIE: End-to-End Text Reading and Information Extraction for Document Understanding—0
Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks—0
BERT-AL: BERT for Arbitrarily Long Document Understanding—0
Table-Of-Contents generation on contemporary documents—0
Blockwise Self-Attention for Long Document UnderstandingCode0
KRED: Knowledge-Aware Document Representation for News RecommendationsCode0
Message Passing Attention Networks for Document UnderstandingCode0
Bidirectional Context-Aware Hierarchical Attention Network for Document UnderstandingCode0
A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications—0
A User-Centered Concept Mining System for Query and Document Understanding at Tencent—0
Graph Convolution for Multimodal Information Extraction from Visually Rich Documents—0
Doc2Im: document to image conversion through self-attentive embedding—0
Chargrid: Towards Understanding 2D DocumentsCode0
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