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Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Free accessTIBKAT | 2020| -
DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation
Free accessTIBKAT | 2020| -
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media
Free accessTIBKAT | 2020| -
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
Free accessTIBKAT | 2020| -
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
Free accessTIBKAT | 2020| -
Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks
Free accessTIBKAT | 2020| -
Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
Free accessTIBKAT | 2020| -
3D Printing of Buildings: Construction of the Sustainable Houses of the Future by BIM
Free accessBASE | 2017| -
Heterogeneous Graph Neural Networks for Extractive Document Summarization
Free accessTIBKAT | 2020| -
Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification
Free accessTIBKAT | 2020| -
SPECTER: Document-level Representation Learning using Citation-informed Transformers
Free accessTIBKAT | 2020| -
Demographic Inference and Representative Population Estimates from Multilingual Social Media Data
Free accessBASE | 2019| -
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Free accessTIBKAT | 2020| -
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
Free accessTIBKAT | 2020| -
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers
Free accessTIBKAT | 2020| -
Smart Product-Service Systems (Smart PSS) in Industrial Firms : A Literature Review
Free accessBASE | 2018| -
Modelling Context and Syntactical Features for Aspect-based Sentiment Analysis
Free accessTIBKAT | 2020| -
Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness?
Free accessTIBKAT | 2020| -
The State and Fate of Linguistic Diversity and Inclusion in the NLP World
Free accessTIBKAT | 2020|
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