Consumer Health Question Model
Listing Websites about Consumer Health Question Model
Question-aware transformer models for consumer health …
(7 days ago) WEB3.2.5. Testing Phase. Once the model is trained on the Cloze tasks, it can be used for testing/generating summaries. The model uses all the tokens from the original question Q and previously generated sequence until the t-1 time step to generate at a …
https://www.sciencedirect.com/science/article/pii/S1532046422000569
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[2106.00219] Question-aware Transformer Models for …
(2 days ago) WEBQuestion summarization is one of the potential solutions to simplifying long and complex consumer questions before attempting to find an answer. In this paper, we …
https://arxiv.org/abs/2106.00219
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Consumer health information and question answering: …
(3 days ago) WEBWe observed a significant drop in performance for both tasks between the simple questions and the real-life consumer health questions; going from F 1 scores of …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025352/
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Question-aware transformer models for consumer health …
(2 days ago) WEBHighlights •We propose a new method for consumer-health question summarization, by introducing various Cloze tasks to pretrained transformer models for a better coverage …
https://dlnext.acm.org/doi/10.1016/j.jbi.2022.104040
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Question-aware Transformer Models for Consumer …
(7 days ago) WEBW e explore two variants of knowledge-induced LM for the task of question. summarization. In the first variant (‘ question-focus aware’ model), we adapt LM. by …
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Question-aware Transformer Models for Consumer Health …
(7 days ago) WEBQuestion summarization is one of the potential solutions to simplifying long and complex consumer questions before attempting to find an answer. In this paper, we …
Category: Health Show Health
Question-aware Transformer Models for Consumer …
(1 days ago) WEBQuestion summarization is one of the potential solutions to simplifying long and complex consumer questions before attempting to find an answer. In this paper, we study the …
https://pubmed.ncbi.nlm.nih.gov/35259544/
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Question-aware Transformer Models for Consumer …
(7 days ago) WEBYadav et al. (2022) designed a consumer health question summarization approach by introducing various cloze tasks to pretrained transformer models, aiming for …
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[PDF] Question-aware Transformer Models for Consumer …
(7 days ago) WEBDOI: 10.1016/j.jbi.2022.104040 Corpus ID: 235265703; Question-aware Transformer Models for Consumer Health Question Summarization …
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A survey of consumer health question answering systems
(4 days ago) WEBConsumer Health Question Answering (CHeQA) addresses this concern by providing reliable and succinct answers to consumer health questions. BM25 …
https://onlinelibrary.wiley.com/doi/10.1002/aaai.12140
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Question-driven summarization of answers to consumer health …
(Just Now) WEBTo address this issue, we present the MEDIQA-Answer Summarization dataset, the first dataset designed for question-driven, consumer-focused …
https://www.nature.com/articles/s41597-020-00667-z
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MNLP at MEDIQA 2021: Fine-Tuning PEGASUS for Consumer …
(2 days ago) WEBThis paper details a Consumer Health Question (CHQ) summarization model submitted to MEDIQA 2021 for shared task 1: Question Summarization. Many …
https://aclanthology.org/2021.bionlp-1.37/
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CMU LiveMedQA at TREC 2017 LiveQA: A Consumer Health …
(6 days ago) WEBmized for consumer health question. On top of the general QA system pipeline, we introduce several new features that aim to exploit domain-specific knowledge and entity …
https://arxiv.org/pdf/1711.05789.pdf
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Semantic annotation of consumer health questions - PMC
(3 days ago) WEBIn this paper, we present a two-part consumer health question corpus annotated with several semantic categories: named entities, question triggers/types, …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5802048/
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Question-driven summarization of answers to consumer health …
(3 days ago) WEBOne of the first places people turn to for answers to their health questions is the internet 2. A conventional search engine will return a set of web pages in response …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532186/
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Representation-centric approach for classification of Consumer …
(7 days ago) WEBAs a finetuning-based embedding, BERT makes it possible to fine-tune its rich pre-trained model effectively for consumer health question classification. …
https://www.sciencedirect.com/science/article/pii/S0957417423009387
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Joint Summarization-Entailment Optimization for Consumer …
(3 days ago) WEBUnderstanding the intent of medical questions asked by patients, or Consumer Health Ques-tions, is an essential skill for medical Conver-sational AI systems. We propose a …
https://aclanthology.org/2021.nlpmc-1.8.pdf
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Representation-centric approach for classification of Consumer …
(1 days ago) WEBQuestion Classification is the very first and pivotal step in Question Answering (QA) systems. It maps a given question into a predefined class. …
https://www.sciencedirect.com/science/article/abs/pii/S0957417423009387
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On the Summarization of Consumer Health Questions - ACL …
(7 days ago) WEBthe question-title pairs as question-summary pairs, and compared extractive and abstractive summa-rization models. Their results showed that an ab-stractive model …
https://aclanthology.org/P19-1215.pdf
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Resource and Response Type Classification for Consumer Health …
(3 days ago) WEBA. GARD . The GARD dataset consists of 2,937 questions decomposed from 1,467 health information requests with each question labeled with one of thirteen …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371272/
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A survey of consumer health question answering systems
(8 days ago) WEBTo ease these burdens for users, automated consumer health question answering systems try to simulate a human professional by refining the queries and …
https://onlinelibrary.wiley.com/doi/abs/10.1002/aaai.12140
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arXiv:2206.06581v2 [cs.CL] 15 Jun 2022
(2 days ago) WEB3. Identify the question focus: Given the effectiveness of the question focus for the consumer health question summarization task, we ask the annotators to …
https://arxiv.org/pdf/2206.06581
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Supervised vs. unsupervised learning: What's the difference? IBM
(8 days ago) WEBThe main difference between supervised and unsupervised learning: Labeled data. The main distinction between the two approaches is the use of labeled data sets. To put it …
https://www.ibm.com/think/topics/supervised-vs-unsupervised-learning
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Patients love telehealth—physicians are not so sure McKinsey
(1 days ago) WEBTo help our clients understand responses to COVID-19, McKinsey launched a research effort to gather insights from physicians into how the pandemic is affecting …
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Swimming and Your Health Healthy Swimming CDC
(3 days ago) WEBHealth benefits. Swimming can improve mood and people report enjoying water-based exercise more than exercising on land. People are able to exercise longer …
https://www.cdc.gov/healthy-swimming/about/index.html
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