TAILIEUCHUNG - Báo cáo khoa học: "Electronic Career Guidance Based on Semantic Relatedness"

We present a study aimed at investigating the use of semantic information in a novel NLP application, Electronic Career Guidance (ECG), in German. ECG is formulated as an information retrieval (IR) task, whereby textual descriptions of professions (documents) are ranked for their relevance to natural language descriptions of a person’s professional interests (the topic). We compare the performance of two semantic IR models: (IR-1) utilizing semantic relatedness (SR) measures based on either wordnet or Wikipedia and a set of heuristics, and (IR-2) measuring the similarity between the topic and documents based on Explicit Semantic Analysis (ESA) (Gabrilovich and Markovitch,. | What to be - Electronic Career Guidance Based on Semantic Relatedness Iryna Gurevych Christof Muller and Torsten Zesch Ubiquitous Knowledge Processing Group Telecooperation Darmstadt University of Technology Hochschulstr. 10 64289 Darmstadt Germany http gurevych mueller zesch @ Abstract We present a study aimed at investigating the use of semantic information in a novel NLP application Electronic Career Guidance ECG in German. ECG is formulated as an information retrieval IR task whereby textual descriptions of professions documents are ranked for their relevance to natural language descriptions of a person s professional interests the topic . We compare the performance of two semantic IR models IR-1 utilizing semantic relatedness SR measures based on either word-net or Wikipedia and a set of heuristics and IR-2 measuring the similarity between the topic and documents based on Explicit Semantic Analysis ESA Gabrilovich and Markovitch 2007 . We evaluate the performance of SR measures intrinsically on the tasks of T-1 computing SR and T-2 solving Reader s Digest Word Power RDWP questions. 1 Electronic Career Guidance Career guidance is important both for the person involved and for the state. Not well informed decisions may cause people to drop the training program they are enrolled in yielding loss of time and financial investments. However there is a mismatch between what people know about existing professions and the variety of professions which exist in reality. Some studies report that school leavers typically choose the professions known to them such 1032 as policeman nurse etc. Many other professions which can possibly match the interests of the person very well are not chosen as their titles are unknown and people seeking career advice do not know about their existence . electronics installer or chemical laboratory worker. However people are very good at describing their professional interests in natural

• Báo cáo khoa học
• Electronic Career Guidance
• Semantic Relatedness
• Iryna Gurevych
• 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