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pro vyhledávání: '"Schumacher, Elliot"'
Autor:
Schumacher, Elliot, Rosenthal, Daniel, Naik, Dhruv, Nair, Varun, Price, Luladay, Tso, Geoffrey, Kannan, Anitha
Large language models (LLMs) have shown promise in safety-critical applications such as healthcare, yet the ability to quantify performance has lagged. An example of this challenge is in evaluating a summary of the patient's medical record. A resulti
Externí odkaz:
http://arxiv.org/abs/2311.08303
A medical provider's summary of a patient visit serves several critical purposes, including clinical decision-making, facilitating hand-offs between providers, and as a reference for the patient. An effective summary is required to be coherent and ac
Externí odkaz:
http://arxiv.org/abs/2305.05982
A wave of new task-based virtual assistants has been fueled by increasingly powerful large language models (LLMs), such as GPT-4 (OpenAI, 2023). A major challenge in deploying LLM-based virtual conversational assistants in real world settings is ensu
Externí odkaz:
http://arxiv.org/abs/2304.14364
Large language models (LLMs) have emerged as valuable tools for many natural language understanding tasks. In safety-critical applications such as healthcare, the utility of these models is governed by their ability to generate outputs that are factu
Externí odkaz:
http://arxiv.org/abs/2303.17071
Entity linking -- the task of identifying references in free text to relevant knowledge base representations -- often focuses on single languages. We consider multilingual entity linking, where a single model is trained to link references to same-lan
Externí odkaz:
http://arxiv.org/abs/2104.08082
Cross-language entity linking grounds mentions in multiple languages to a single-language knowledge base. We propose a neural ranking architecture for this task that uses multilingual BERT representations of the mention and the context in a neural ne
Externí odkaz:
http://arxiv.org/abs/2010.09828
Clinical notes contain an extensive record of a patient's health status, such as smoking status or the presence of heart conditions. However, this detail is not replicated within the structured data of electronic health systems. Phenotyping, the extr
Externí odkaz:
http://arxiv.org/abs/1910.13664
The problem of accurately predicting relative reading difficulty across a set of sentences arises in a number of important natural language applications, such as finding and curating effective usage examples for intelligent language tutoring systems.
Externí odkaz:
http://arxiv.org/abs/1606.08425
Autor:
Schumacher, Elliot, Eskenazi, Maxine
Readability is defined as the reading level of the speech from grade 1 to grade 12. It results from the use of the REAP readability analysis (vocabulary - Collins-Thompson and Callan, 2004; syntax - Heilman et al ,2006, 2007), which use the lexical c
Externí odkaz:
http://arxiv.org/abs/1603.05739
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