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Document Analysis

632 directly classified papers

Papers per year

Papers

Team Ned Leeds at SemEval-2019 Task 4: Exploring Language Indicators of Hyperpartisan Reporting SEMEVAL 2019
The Trumpiest Trump? Identifying a Subject’s Most Characteristic Tweets IJCNLP 2019
Surface Realisation Using Full Delexicalisation IJCNLP 2019
End-to-End Wireframe Parsing ICCV 2019
Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts IJCNLP 2019
The Steep Road to Happily Ever after: an Analysis of Current Visual Storytelling Models NAACL 2019
Event Detection with Multi-Order Graph Convolution and Aggregated Attention IJCNLP 2019
Revealing Semantic Structures of Texts: Multi-grained Framework for Automatic Mind-map Generation IJCAI 2019
WIQA: A dataset for “What if...” reasoning over procedural text IJCNLP 2019
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction EMNLP 2019
HARE: a Flexible Highlighting Annotator for Ranking and Exploration IJCNLP 2019
Supervised and Nonlinear Alignment of Two Embedding Spaces for Dictionary Induction in Low Resourced Languages EMNLP 2019
The Myth of Double-Blind Review Revisited: ACL vs. EMNLP EMNLP 2019
AGRR 2019: Corpus for Gapping Resolution in Russian ACL 2019
A Neural Graph-based Approach to Verbal MWE Identification ACL 2019
Visual Detection with Context for Document Layout Analysis EMNLP 2019
TellMeWhy: Learning to Explain Corrective Feedback for Second Language Learners IJCNLP 2019
The ERG at MRP 2019: Radically Compositional Semantic Dependencies CONLL 2019
TellMeWhy: Learning to Explain Corrective Feedback for Second Language Learners EMNLP 2019
Inducing Document Structure for Aspect-based Summarization ACL 2019
One format to rule them all – The emtsv pipeline for Hungarian ACL 2019
Composing a Picture Book by Automatic Story Understanding and Visualization ACL 2019
BeamSeg: A Joint Model for Multi-Document Segmentation and Topic Identification CONLL 2019
Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts IJCNLP 2019
Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information ACL 2019