TAILIEUCHUNG - Báo cáo khoa học: "Dialogue Act Tagging for Instant Messaging Chat Sessions"

Instant Messaging chat sessions are realtime text-based conversations which can be analyzed using dialogue-act models. We describe a statistical approach for modelling and detecting dialogue acts in Instant Messaging dialogue. This involved the collection of a small set of task-based dialogues and annotating them with a revised tag set. We then dealt with segmentation and synchronisation issues which do not arise in spoken dialogue. The model we developed combines naive Bayes and dialogue-act n-grams to obtain better than 80% accuracy in our tagging experiment. . | Dialogue Act Tagging for Instant Messaging Chat Sessions Edward Ivanovic Department of Computer Science and Software Engineering University of Melbourne Victoria 3010 Australia edwardi@ Abstract Instant Messaging chat sessions are realtime text-based conversations which can be analyzed using dialogue-act models. We describe a statistical approach for modelling and detecting dialogue acts in Instant Messaging dialogue. This involved the collection of a small set of task-based dialogues and annotating them with a revised tag set. We then dealt with segmentation and synchronisation issues which do not arise in spoken dialogue. The model we developed combines naive Bayes and dialogue-act n-grams to obtain better than 80 accuracy in our tagging experiment. 1 Introduction Instant Messaging IM dialogue has received relatively little attention in discourse modelling. The novelty and popularity of IM dialogue and the significant differences between written and spoken English warrant specific research on IM dialogue. We show that IM dialogue has some unique problems and attributes not found in transcribed spoken dialogue which has been the focus of most work in discourse modelling. The present study addresses the problems presented by these differences when modelling dialogue acts in IM dialogue. Stolcke et al. 2000 point out that the use of dialogue acts is a useful first level of analysis for describing discourse structure. Dialogue acts are based on the illocutionary force of an utterance from speech act theory and represent acts such as assertions and declarations Austin 1962 Searle 1979 . This theory has been extended in dialogue acts to model the conversational functions that utterances can perform. Dialogue acts have been used to benefit tasks such as machine translation Tanaka and Yokoo 1999 and the automatic detection of dialogue games Levin et al. 1999 . This deeper level of discourse understanding may help replace or assist a support .

• Báo cáo khoa học
• Dialogue Act Tagging
• Instant Messaging Chat Sessions
• Edward Ivanovic
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Discourse chunking
• a tool in dialogue act tagging
• T
• Daniel Midgley
• Transformation Based Learning
• Ken Samuel and Sandra Carberry
• 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