Question Answering
الإجابة الحوسبية عن الأسئلة
تصميم أنظمة تستوعب الأسئلة البشرية المكتوبة وتستخلص أو تولد الإجابة الدقيقة لها سياقياً.
Question Answering
Also translated asنظام الاستجواب الآلي، توليد الإجابات الذكية
First appears in this corpus in: GloVe: Global Vectors for Word Representation (2014)
Appears in these papers
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding2018in the sky ✦
- GloVe: Global Vectors for Word Representation2014in the sky ✦
- GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding2018in the sky ✦
- Language Models Are Unsupervised Multitask Learners2019in the sky ✦
- GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints2023in the sky ✦
- HuggingGPT: Solving AI Tasks with ChatGPT and Its Friends in Hugging Face2023in the sky ✦
- RETRO: Improving Language Models by Retrieving from Trillions of Tokens2022in the sky ✦
- Self-Instruct: Aligning Language Models with Self-Generated Instructions2022in the sky ✦
- SQuAD: 100,000+ Questions for Machine Comprehension of Text2016in the sky ✦
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer2019in the sky ✦