Found 843 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

PidginUNMT: Unsupervised Neural Machine Translation from West African Pidgin to English

However, there is no known natural language processing (NLP) work on this language. Expand abstract.
3 days ago
5/10 relevant
arXiv

Scalable Bayesian Preference Learning for Crowds

We demonstrate the method's scalability on a natural language processing task with thousands of users and items, and show improvements over the state of the art on this task. Expand abstract.
6 days ago
4/10 relevant
arXiv

Compositional Temporal Visual Grounding of Natural Language Event Descriptions

Explicit temporal modeling accounts for a wide variety of temporal relationships that can be expressed in language: e.g., in the description "girl stands up from the table after eating an apple" the visual ordering of the events is reversed, with first "eating an apple" followed by "standing up from the table." We leverage these observations to develop... Expand abstract.
6 days ago
10/10 relevant
arXiv

Natural alpha embeddings

Learning an embedding for a large collection of items is a popular approach to overcome the computational limitations associated to one-hot encodings. Expand abstract.
6 days ago
4/10 relevant
arXiv

Acquiring Knowledge from Pre-trained Model to Neural Machine Translation

Pre-training and fine-tuning have achieved great success in the natural language process field. Expand abstract.
7 days ago
4/10 relevant
arXiv

DLTPy: Deep Learning Type Inference of Python Function Signatures using Natural Language Context

We conclude that natural language contained in comments and return expressions are beneficial to predicting types more accurately. Expand abstract.
8 days ago
8/10 relevant
arXiv

EduBERT: Pretrained Deep Language Models for Learning Analytics

The use of large pretrained neural networks to create contextualized word embeddings has drastically improved performance on several natural language processing (NLP) tasks. Expand abstract.
8 days ago
4/10 relevant
arXiv

Deep Bayesian Active Learning for Multiple Correct Outputs

We specifically study a manifestation of this problem for visual question answer generation (VQA), where the aim is not to classify the correct answer but to produce a natural language answer, given an image and a question. Expand abstract.
8 days ago
4/10 relevant
arXiv

AntNet: Deep Answer Understanding Network for Natural Reverse QA

Experimental results indicate that our proposed network is significantly better than existing methods and those modified from classical natural language processing (NLP) deep models. Expand abstract.
9 days ago
4/10 relevant
arXiv

TNFPred: Identifying tumor necrosis factors using hybrid features based on word embeddings

Moreover, this study proves that natural language processing techniques can be applied reasonably to help biologists solve bioinformatics problems efficiently. Expand abstract.
10 days ago
4/10 relevant
bioRxiv