tailieunhanh - Báo cáo khoa học: "Integrating Discourse Markers into a Pipelined Natural Language Generation Architecture"

Pipelined Natural Language Generation (NLG) systems have grown increasingly complex as architectural modules were added to support language functionalities such as referring expressions, lexical choice, and revision. This has given rise to discussions about the relative placement of these new modules in the overall architecture. Recent work on another aspect of multi-paragraph text, discourse markers, indicates it is time to consider where a discourse marker insertion algorithm fits in. We present examples which suggest that in a pipelined NLG architecture, the best approach is to strongly tie it to a revision component. . | Integrating Discourse Markers into a Pipelined Natural Language Generation Architecture Charles B. Callaway ITC-irst Trento Italy via Sommarive 18 Povo Trento Italy I-38050 callaway@ Abstract Pipelined Natural Language Generation NLG systems have grown increasingly complex as architectural modules were added to support language functionalities such as referring expressions lexical choice and revision. This has given rise to discussions about the relative placement of these new modules in the overall architecture. Recent work on another aspect of multi-paragraph text discourse markers indicates it is time to consider where a discourse marker insertion algorithm fits in. We present examples which suggest that in a pipelined NLG architecture the best approach is to strongly tie it to a revision component. Finally we evaluate the approach in a working multi-page system. 1 Introduction Historically work on NLG architecture has focused on integrating major disparate architectural modules such as discourse and sentence planners and surface realizers. More recently as it was discovered that these components by themselves did not create highly readable prose new types of architectural modules were introduced to deal with newly desired linguistic phenomena such as referring expressions lexical choice revision and pronominalization. Adding each new module typically entailed that an NLG system designer would justify not only the reason for including the new module i. e. what lin guistic phenomena it produced that had been previously unattainable but how it was integrated into their architecture and why its placement was reasonably optimal cf. Elhadad et al. 1997 pp. 4-7 . At the same time Reiter 1994 argued that implemented NLG systems were converging toward a de facto pipelined architecture Figure 1 with minimal-to-nonexistent feedback between modules. Although several NLG architectures were proposed in opposition to such a linear arrangement Kantrowitz and Bates 1992 .

• Báo cáo khoa học
• Integrating Discourse Markers
• Pipelined Natural Language Generation Architecture
• Charles B
• Callaway ITC irst
• Trento
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• 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