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Natural Language Processing

47,076 papers (54 classified directly here)

Subtopics

Applications (26,986) Resources & Methods (16,283) Generation (11,966) Understanding (7,071)

Papers per year

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Papers (including subtopics)

DeepGeneMD: A Joint Deep Learning Model for Extracting Gene Mutation-Disease Knowledge from PubMed Literature EMNLP 2019
Biomedical relation extraction with pre-trained language representations and minimal task-specific architecture EMNLP 2019
RACAI’s System at PharmaCoNER 2019 EMNLP 2019
Transfer Learning in Biomedical Named Entity Recognition: An Evaluation of BERT in the PharmaCoNER task EMNLP 2019
A Multi-Task Learning Framework for Extracting Bacteria Biotope Information EMNLP 2019
YNU-junyi in BioNLP-OST 2019: Using CNN-LSTM Model with Embeddings for SeeDev Binary Event Extraction EMNLP 2019
Using Snomed to recognize and index chemical and drug mentions. EMNLP 2019
Bacteria Biotope at BioNLP Open Shared Tasks 2019 EMNLP 2019
Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019 EMNLP 2019
An ensemble CNN method for biomedical entity normalization EMNLP 2019
BOUN-ISIK Participation: An Unsupervised Approach for the Named Entity Normalization and Relation Extraction of Bacteria Biotopes EMNLP 2019
Bacteria Biotope Relation Extraction via Lexical Chains and Dependency Graphs EMNLP 2019
Integration of Deep Learning and Traditional Machine Learning for Knowledge Extraction from Biomedical Literature EMNLP 2019
CRAFT Shared Tasks 2019 Overview — Integrated Structure, Semantics, and Coreference EMNLP 2019
UZH@CRAFT-ST: a Sequence-labeling Approach to Concept Recognition EMNLP 2019
Coreference Resolution in Full Text Articles with BERT and Syntax-based Mention Filtering EMNLP 2019
Neural Dependency Parsing of Biomedical Text: TurkuNLP entry in the CRAFT Structural Annotation Task EMNLP 2019
RDoC Task at BioNLP-OST 2019 EMNLP 2019
Analysing Coreference in Transformer Outputs EMNLP 2019
Context-Aware Neural Machine Translation Decoding EMNLP 2019
When and Why is Document-level Context Useful in Neural Machine Translation? EMNLP 2019
Data augmentation using back-translation for context-aware neural machine translation EMNLP 2019
Context-aware Neural Machine Translation with Coreference Information EMNLP 2019
Comparing the Intrinsic Performance of Clinical Concept Embeddings by Their Field of Medicine EMNLP 2019
On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning EMNLP 2019