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Information Extraction

3209 directly classified papers

Papers per year

Papers

TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data ACL 2020
Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web ACL 2020
The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain ACL 2020
IMoJIE: Iterative Memory-Based Joint Open Information Extraction ACL 2020
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages ACL 2020
EVIDENCEMINER: Textual Evidence Discovery for Life Sciences ACL 2020
A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction ACL 2020
Programming in Natural Language with fuSE: Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding ACL 2020
Information Retrieval and Extraction on COVID-19 Clinical Articles Using Graph Community Detection and Bio-BERT Embeddings ACL 2020
NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities ACL 2020
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction ACL 2020
ExpBERT: Representation Engineering with Natural Language Explanations ACL 2020
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction ACL 2020
A Natural Language Processing System for National COVID-19 Surveillance in the US Department of Veterans Affairs ACL 2020
Relation Extraction with Explanation ACL 2020
Multi-Sentence Argument Linking ACL 2020
“Who said it, and Why?” Provenance for Natural Language Claims ACL 2020
Global Locality in Biomedical Relation and Event Extraction ACL 2020
Evidence Inference 2.0: More Data, Better Models ACL 2020
Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction EMNLP 2020
The RELX Dataset and Matching the Multilingual Blanks for Cross-Lingual Relation Classification EMNLP 2020
Extracting Chemical-Protein Interactions via Calibrated Deep Neural Network and Self-training EMNLP 2020
BERT-MK: Integrating Graph Contextualized Knowledge into Pre-trained Language Models EMNLP 2020
Incorporating Risk Factor Embeddings in Pre-trained Transformers Improves Sentiment Prediction in Psychiatric Discharge Summaries EMNLP 2020
Information Extraction from Swedish Medical Prescriptions with Sig-Transformer Encoder EMNLP 2020