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Hits 401 – 420 of 20.397

401
Modeling Transitions of Focal Entities for Conversational Knowledge Base Question Answering ...
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402
One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets ...
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403
Fine-Grained Spatial Information Extraction in Radiology as Two-turn Question Answering ...
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404
6B: Resources and Evaluation #1 ...
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405
Dynamic Contextualized Word Embeddings ...
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406
The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes ...
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407
Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification ...
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408
Towards Zero-Shot Knowledge Distillation for Natural Language Processing ...
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409
Corrected CBOW Performs as well as Skip-gram ...
Abstract: Mikolov et al. (2013a) observed that continuous bag-of-words (CBOW) word embeddings tend to underperform Skip-gram (SG) embeddings, and this finding has been reported in subsequent works. We find that these observations are driven not by fundamental differences in their training objectives, but more likely on faulty negative sampling CBOW implementations in popular libraries such as the official implementation, word2vec.c, and Gensim. We show that after correcting a bug in the CBOW gradient update, one can learn CBOW word embeddings that are fully competitive with SG on various intrinsic and extrinsic tasks, while being many times faster to train. ...
Keyword: Computational Linguistics; Information Extraction; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://dx.doi.org/10.48448/x9a3-s674
https://underline.io/lecture/39446-corrected-cbow-performs-as-well-as-skip-gram
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410
BERTAC: Enhancing Transformer-based Language Models with Adversarially Pretrained Convolutional Neural Networks ...
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411
SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations ...
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412
Automatic Text Evaluation through the Lens of Wasserstein Barycenters ...
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413
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting ...
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414
PSED: A Dataset for Selecting Emphasis in Presentation Slides ...
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415
Benchmarking Neural Topic Models: An Empirical Study ...
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416
Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTa ...
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417
Meta Distant Transfer Learning for Pre-trained Language Models ...
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418
Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques ...
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419
Plot and Rework: Modeling Storylines for Visual Storytelling ...
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420
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles ...
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