TAILIEUCHUNG - Báo cáo khoa học: "Large Scale Acquisition of Paraphrases for Learning Surface Patterns"

Paraphrases have proved to be useful in many applications, including Machine Translation, Question Answering, Summarization, and Information Retrieval. Paraphrase acquisition methods that use a single monolingual corpus often produce only syntactic paraphrases. We present a method for obtaining surface paraphrases, using a 150GB (25 billion words) monolingual corpus. Our method achieves an accuracy of around 70% on the paraphrase acquisition task. We further show that we can use these paraphrases to generate surface patterns for relation extraction. Our patterns are much more precise than those obtained by using a state of the art baseline and can extract relations with. | Large Scale Acquisition of Paraphrases for Learning Surface Patterns Rahul Bhagat Information Sciences Institute University of Southern California Marina del Rey CA rahul@ Deepak Ravichandran Google Inc. 1600 Amphitheatre Parkway Mountain View CA deepakr@ Abstract Paraphrases have proved to be useful in many applications including Machine Translation Question Answering Summarization and Information Retrieval. Paraphrase acquisition methods that use a single monolingual corpus often produce only syntactic paraphrases. We present a method for obtaining surface paraphrases using a 150GB 25 billion words monolingual corpus. Our method achieves an accuracy of around 70 on the paraphrase acquisition task. We further show that we can use these paraphrases to generate surface patterns for relation extraction. Our patterns are much more precise than those obtained by using a state of the art baseline and can extract relations with more than 80 precision for each of the test relations. 1 Introduction Paraphrases are textual expressions that convey the same meaning using different surface words. For example consider the following sentences Google acquired YouTube. 1 Google completed the acquisition of YouTube. 2 Since they convey the same meaning sentences 1 and 2 are sentence level paraphrases and the phrases acquired and completed the acquisition of in 1 and 2 respectively are phrasal paraphrases. Paraphrases provide a way to capture the variability of language and hence play an important Work done during an internship at Google Inc. role in many natural language processing NLP applications. For example in question answering paraphrases have been used to find multiple patterns that pinpoint the same answer Ravichandran and Hovy 2002 in statistical machine translation they have been used to find translations for unseen source language phrases Callison-Burch et al. 2006 in multi-document summarization they have been used to identify phrases from different .

• Báo cáo khoa học
• Large Scale Acquisition of Paraphrases
• Learning Surface Patterns
• Rahul Bhagat
• báo cáo khoa học
• báo cáo 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 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