Found 890 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

BEE : a web service for biomedical entity exploration

Our proposed system provides an intuitive and effective query interface based on natural language. Expand abstract.
14 days ago
4/10 relevant
bioRxiv

Robust Aggregation for Federated Learning

We provide experimental results of the proposed approach with linear models and deep networks for two tasks in computer vision and natural language processing. Expand abstract.
17 days ago
4/10 relevant
arXiv

Stacked DeBERT: All Attention in Incomplete Data for Text Classification

We consider two datasets for training and evaluation: the Chatbot Natural Language Understanding Evaluation Corpus and Kaggle's Twitter Sentiment Corpus. Expand abstract.
17 days ago
5/10 relevant
arXiv

ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension

A lot of diverse reading comprehension datasets have recently been introduced to study various phenomena in natural language, ranging from simple paraphrase matching and entity typing to entity tracking and understanding the implications of the context. Expand abstract.
19 days ago
5/10 relevant
arXiv

Learning numeral embeddings

Word embedding is an essential building block for deep learning methods for natural language processing. Expand abstract.
21 days ago
4/10 relevant
arXiv

Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection

Extensive experimental results on a series of natural language processing and computer vision tasks, including neural machine translation, image captioning, and language modeling, all demonstrate the advantages of Explicit Sparse Transformer in model performance. Expand abstract.
23 days ago
6/10 relevant
arXiv

A Multimodal Target-Source Classifier with Attention Branches to Understand Ambiguous Instructions for Fetching Daily Objects

This task consists of predicting a target object, as instructed by the user, given an image and an unstructured sentence, such as "Bring me the yellow box (from the wooden cabinet)." This is challenging because of the ambiguity of natural language, i.e., the relevant information may be missing or there might be several... Expand abstract.
25 days ago
4/10 relevant
arXiv

Probabilistic Simulation of Quantum Circuits with the Transformer

Using this framework, we have developed a practical algorithm to simulate quantum circuits with the Transformer, a powerful ansatz responsible for the most recent breakthroughs in natural language processing. Expand abstract.
25 days ago
4/10 relevant
arXiv

Hybrid Machine Learning Models of Classifying Residential Requests for Smart Dispatching

Residential requests in natural language descriptions cover almost every aspect of a city's daily operation. Expand abstract.
26 days ago
4/10 relevant
arXiv

Harnessing Evolution of Multi-Turn Conversations for Effective Answer Retrieval

Finding relevant context in a conversation's history is challenging because of the complexity of natural language and the evolution of a user's information need. Expand abstract.
26 days ago
4/10 relevant
arXiv