TAILIEUCHUNG - Báo cáo khoa học: "Noun Phrase Chunking in Hebrew Influence of Lexical and Morphological Features"

We present a method for Noun Phrase chunking in Hebrew. We show that the traditional definition of base-NPs as nonrecursive noun phrases does not apply in Hebrew, and propose an alternative definition of Simple NPs. We review syntactic properties of Hebrew related to noun phrases, which indicate that the task of Hebrew SimpleNP chunking is harder than base-NP chunking in English. | Noun Phrase Chunking in Hebrew Influence of Lexical and Morphological Features Yoav Goldberg and Meni Adler and Michael Elhadad Computer Science Department Ben Gurion University of the Negev 653 Be er Sheva 84105 Israel yoavg adlerm elhadad @ Abstract We present a method for Noun Phrase chunking in Hebrew. We show that the traditional definition of base-NPs as nonrecursive noun phrases does not apply in Hebrew and propose an alternative definition of Simple NPs. We review syntactic properties of Hebrew related to noun phrases which indicate that the task of Hebrew SimpleNP chunking is harder than base-NP chunking in English. As a confirmation we apply methods known to work well for English to Hebrew data. These methods give low results F from 76 to 86 in Hebrew. We then discuss our method which applies SVM induction over lexical and morphological features. Morphological features improve the average precision by recall by 1 and F-measure by resulting in a system with average performance of 93 precision recall and F-measure. 1 Introduction Modern Hebrew is an agglutinative Semitic language with rich morphology. Like most other non-European languages it lacks NLP resources and tools and specifically there are currently no available syntactic parsers for Hebrew. We address the task of NP chunking in Hebrew as a This work was funded by the Israel Ministry of Science and Technology under the auspices of the Knowledge Center for Processing Hebrew. Additional funding was provided by the Lynn and William Frankel Center for Computer Sciences. first step to fulfill the need for such tools. We also illustrate how this task can successfully be approached with little resource requirements and indicate how the method is applicable to other resource-scarce languages. NP chunking is the task of labelling noun phrases in natural language text. The input to this task is free text with part-of-speech tags. The output is the same text with brackets

• Báo cáo khoa học
• Noun Phrase Chunking
• Hebrew Influence of Lexical
• Morphological Features
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Automatic Evaluation Method
• Machine Translation
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Bài giảng Xử lý 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