tailieunhanh - Báo cáo khoa học: "Deep Read: A Reading Comprehension System"

This paper describes initial work on Deep Read, an automated reading comprehension system that accepts arbitrary text input (a story) and answers questions about it. We have acquired a corpus of 60 development and 60 test stories of 3rd to 6 th grade material; each story is followed by short-answer questions (an answer key was also provided). We used these to construct and evaluate a baseline system that uses pattern matching (bag-of-words) techniques augmented with additional automated linguistic processing (stemming, name identification, semantic class identification, and pronoun resolution). This simple system retrieves the sentence containing the answer 30-40% of. | Deep Read A Reading Comprehension System Lynette Hirschman Marc Light Eric Breck John D. Burger The MITRE Corporation 202 Burlington Road Bedford MA USA 01730 lynette light ebreck john @ Abstract This paper describes initial work on Deep Read an automated reading comprehension system that accepts arbitrary text input a story and answers questions about it. We have acquired a corpus of 60 development and 60 test stories of 3rd to 6th grade material each story is followed by short-answer questions an answer key was also provided . We used these to construct and evaluate a baseline system that uses pattern matching bag-of-words techniques augmented with additional automated linguistic processing stemming name identification semantic class identification and pronoun resolution . This simple system retrieves the sentence containing the answer 30-40 of the time. 1 Introduction This paper describes our initial work exploring reading comprehension tests as a research problem and an evaluation method for language understanding systems. Such tests can take the form of standardized multiple-choice diagnostic reading skill tests as well as fill-in-the-blank and short-answer tests. Typically such tests ask the student to read a story or article and to demonstrate her his understanding of that article by answering questions about it. For an example see Figure 1. Reading comprehension tests are interesting because they constitute found test material these tests are created in order to evaluate children s reading skills and therefore test materials scoring algorithms and human performance measures already exist. Furthermore human performance measures provide a more intuitive way of assessing the capabilities of a given system than current measures of precision recall F-measure operating curves etc. In addition reading comprehension tests are written to test a range of skill levels. With proper choice of test material it should be possible to challenge systems to .

• Báo cáo khoa học
• Deep Read
• A Reading Comprehension System
• Long Papers
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• BMC Bioinformatics
• Deep learning
• Long sequence reads
• Oxford Nanopore
• De novo assembly
• Genome Biology
• Variant calling
• Long range haplotype
• Difficult to map regions
• DIGITAL ENTERTAINMENT
• DIGITAL AUDITORY
• DIGITAL ART
• Multimedia Content
• Technology and Art
• Digital Music Management
• Genome rearrangements
• Structural and numerical variations
• Deep sequencing
• Graph theory
• Integer linear programming
• Read until
• Raw signal
• Real time
• Bài giảng Xử lý ngôn ngữ tự nhiên
• Ngôn ngữ tự nhiên
• Kỹ thuật lập trình
• Xử lý nhập nhằng ngữ nghĩa
• Xử lý ngữ nghĩa
• Xử lý ngôn ngữ
• Natural Language Processing
• Ngôn ngữ lập trình
• Nhập nhằng cấu trúc
• Tri thức về ngôn ngữ
• Mô hình n gram
• Dịch máy
• Phương pháp dịch máy
• Hiểu ngôn ngữ
• Phân tích ngữ nghĩa
• Phân loại tin tự động
• Biểu diễn vị từ
• Thuộc tính về sự kiện
• Thuộc tính về sự kiện
• Mô hình ngôn ngữ Google Book N grams
• Mô hình ngôn ngữ KenLM
• Phương pháp làm mịn
• Tách từ tiếng Việt
• Gán nhãn từ loại
• Phân tích cú pháp
• Nghĩa từ vựng
• Phân giải nhập nhằng từ
• Phân loại văn bản
• Lexical chain
• Phản hồi thông tin
• Bài toán PTCP
• Cấu trúc ngữ pháp
• Phân tích cú pháp xác suất
• CKY kết hợp xác suất
• Văn phạm phi ngữ cảnh xác suất
• Hình thái học