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2004.14356
Cited By
AxCell: Automatic Extraction of Results from Machine Learning Papers
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
29 April 2020
Marcin Kardas
Piotr Czapla
Pontus Stenetorp
Sebastian Ruder
Sebastian Riedel
Ross Taylor
Robert Stojnic
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Papers citing
"AxCell: Automatic Extraction of Results from Machine Learning Papers"
44 / 44 papers shown
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League: Leaderboard Generation on Demand
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Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards
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Instruction Finetuning for Leaderboard Generation from Empirical AI Research
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Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs
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Yusik Kim
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Michele Dolfi
Peter W. J. Staar
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Scaling Automatic Extraction of Pseudocode
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Effective Context Selection in LLM-based Leaderboard Generation: An Empirical Study
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250
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Enhancing AI Research Paper Analysis: Methodology Component Extraction using Factored Transformer-based Sequence Modeling Approach
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Partha Basuchowdhuri
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Schema-Driven Information Extraction from Heterogeneous Tables
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Junmo Kang
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Dayne Freitag
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308
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S2abEL: A Dataset for Entity Linking from Scientific Tables
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Bailey Kuehl
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334
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CTE: A Dataset for Contextualized Table Extraction
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Emanuele Vivoli
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Unifying Vision, Text, and Layout for Universal Document Processing
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Ziyi Yang
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Detect, Retrieve, Comprehend: A Flexible Framework for Zero-Shot Document-Level Question Answering
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Brian Tsan
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Blake Mason
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355
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Alexander M. Rush
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320
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Data augmentation on graphs for table type classification
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182
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Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents
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337
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Business Document Information Extraction: Towards Practical Benchmarks
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Matyás Skalický
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Michal Uřičář
Milan Šulc
248
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STable: Table Generation Framework for Encoder-Decoder Models
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Michal Pietruszka
M. Turski
Łukasz Borchmann
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Gabriela Pałka
Karolina Szyndler
Dawid Jurkiewicz
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344
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A Dataset for N-ary Relation Extraction of Drug Combinations
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Aryeh Tiktinsky
Vijay Viswanathan
Danna Niezni
D. Azagury
Y. Shamay
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Kyle Lo
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264
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Revise and Resubmit: An Intertextual Model of Text-based Collaboration in Peer Review
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Ilia Kuznetsov
Jan Buchmann
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254
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Specialized Document Embeddings for Aspect-based Similarity of Research Papers
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Malte Ostendorff
Till Blume
Terry Ruas
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193
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Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
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Haoyu Dong
Zhoujun Cheng
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Automated scholarly paper review: Concepts, technologies, and challenges
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425
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MATE: Multi-view Attention for Table Transformer Efficiency
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Automated Mining of Leaderboards for Empirical AI Research
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Yan Gao
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Jian-Guang Lou
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486
162
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CitationIE: Leveraging the Citation Graph for Scientific Information Extraction
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Graham Neubig
Pengfei Liu
199
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Learning to Reason for Text Generation from Scientific Tables
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240
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Haoyu Dong
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