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EDGE2VEC: Edge Representations for Large-Scale Scalable Hierarchical Learning.

, , , and . Computación y Sistemas, (2017)

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EDGE2VEC: Edge Representations for Large-Scale Scalable Hierarchical Learning., , , and . Computación y Sistemas, (2017)mgsohrab at WNUT 2020 Shared Task-1: Neural Exhaustive Approach for Entity and Relation Recognition Over Wet Lab Protocols., , , and . W-NUT@EMNLP, page 290-298. Association for Computational Linguistics, (2020)Centroid-Means-Embedding: An Approach to Infusing Word Embeddings into Features for Text Classification., , and . PAKDD (1), volume 9077 of Lecture Notes in Computer Science, page 289-300. Springer, (2015)Span-based Neural Model for Multilingual Flat and Nested Named Entity Recognition., and . GCCE, page 80-84. IEEE, (2021)Disease Network Constructor: a Pathway Extraction and Visualization., , , , , , , , and . ACL (demo), page 549-557. Association for Computational Linguistics, (2023)Deep Exhaustive Model for Nested Named Entity Recognition., and . EMNLP, page 2843-2849. Association for Computational Linguistics, (2018)Class-indexing-based term weighting for automatic text classification., and . Inf. Sci., (2013)IN-DEDUCTIVE and DAG-Tree Approaches for Large-Scale Extreme Multi-label Hierarchical Text Classification., , and . Polibits, (2016)BERT-NAR-BERT: A Non-Autoregressive Pre-Trained Sequence-to-Sequence Model Leveraging BERT Checkpoints., , , and . IEEE Access, (2024)A Generic Neural Exhaustive Approach for Entity Recognition and Sensitive Span Detection., , and . IberLEF@SEPLN, volume 2421 of CEUR Workshop Proceedings, page 735-743. CEUR-WS.org, (2019)