Found 900 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

Using natural language processing to extract health-related causality from Twitter messages

In this work, we evaluated an approach to extracting causal relations from tweets using natural language processing (NLP) techniques. Expand abstract.
73 days ago
10/10 relevant
arXiv

Bootstrapping NLU Models with Multi-task Learning

Further, the use of words as the atomic units of meaning as done in many studies might lead to coverage problems for morphologically rich languages such as German and French when data is limited. Expand abstract.
73 days ago
5/10 relevant
arXiv

Sparse associative memory based on contextual code learning for disambiguating word senses

In recent literature, contextual pretrained Language Models (LMs) demonstrated their potential in generalizing the knowledge to several Natural Language Processing (NLP) tasks including supervised Word Sense Disambiguation (WSD), a challenging problem in the field of Natural Language Understanding (NLU). Expand abstract.
74 days ago
4/10 relevant
arXiv

Prevalence of code mixing in semi-formal patient communication in low resource languages of South Africa

We use a natural language processing library (Polyglot) that supports detection of 196 languages and attempt to evaluate its performance at identifying English, isiZulu and code-mixed questions. Expand abstract.
75 days ago
4/10 relevant
arXiv

Generating Persona Consistent Dialogues by Exploiting Natural Language Inference

In this paper, we exploit the advantages of natural language inference (NLI) technique to address the issue of generating persona consistent dialogues. Expand abstract.
75 days ago
10/10 relevant
arXiv

Novel transformer networks for improved sequence labeling in genomics

We show that those architectures, which have been recently introduced for natural language processing, allow for a fast processing of long DNA sequences. Expand abstract.
75 days ago
4/10 relevant
bioRxiv

word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement

Our approach achieves a hundred-fold or more reduction in the space required to store the embeddings with almost no relative drop in accuracy in practical natural language processing tasks. Expand abstract.
76 days ago
5/10 relevant
arXiv

Semantic computational analysis of anticoagulation use in atrial fibrillation from real world data

A natural language processing pipeline was developed to identify risk factors in clinical text and calculate risk for ischaemic stroke (CHA2DS2-VASc) and bleeding (HAS-BLED). Expand abstract.
76 days ago
5/10 relevant
medRxiv

Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks

On 16 NLP datasets, across a diverse task-set such as entity typing, relation extraction, natural language inference, sentiment analysis, and several other text categorization tasks, we show that LEOPARD learns better initial parameters for few-shot learning than self-supervised pre-training or multi-task training,... Expand abstract.
78 days ago
7/10 relevant
arXiv

Robust Natural Language Inference Models with Example Forgetting

We investigate whether example forgetting, a recently introduced measure of hardness of examples, can be used to select training examples in order to increase robustness of natural language understanding models in a natural language inference task (MNLI). Expand abstract.
78 days ago
10/10 relevant
arXiv