TAILIEUCHUNG - Báo cáo khoa học: "Distributional Identification of Non-Referential Pronouns"

We present an automatic approach to determining whether a pronoun in text refers to a preceding noun phrase or is instead nonreferential. We extract the surrounding textual context of the pronoun and gather, from a large corpus, the distribution of words that occur within that context. We learn to reliably classify these distributions as representing either referential or non-referential pronoun instances. Despite its simplicity, experimental results on classifying the English pronoun it show the system achieves the highest performance yet attained on this important task. i. | Distributional Identification of Non-Referential Pronouns Shane Bergsma Dekang Lin Randy Goebel Department of Computing Science Google Inc. Department of Computing Science University of Alberta Edmonton Alberta Canada T6G 2E8 bergsma@ 1600 Amphitheatre Parkway Mountain View California 94301 lindek@ University of Alberta Edmonton Alberta Canada T6G 2E8 goebel@ Abstract We present an automatic approach to determining whether a pronoun in text refers to a preceding noun phrase or is instead non-referential. We extract the surrounding textual context of the pronoun and gather from a large corpus the distribution of words that occur within that context. We learn to reliably classify these distributions as representing either referential or non-referential pronoun instances. Despite its simplicity experimental results on classifying the English pronoun it show the system achieves the highest performance yet attained on this important task. 1 Introduction The goal of coreference resolution is to determine which noun phrases in a document refer to the same real-world entity. As part of this task coreference resolution systems must decide which pronouns refer to preceding noun phrases called antecedents and which do not. In particular a long-standing challenge has been to correctly classify instances of the English pronoun it. Consider the sentences 1 You can make it in advance. 2 You can make it in Hollywood. In sentence 1 it is an anaphoric pronoun referring to some previous noun phrase like the sauce or an appointment. In sentence 2 it is part of the idiomatic expression make it meaning succeed. A coreference resolution system should find an antecedent for the first it but not the second. Pronouns that do not refer to preceding noun phrases are called non-anaphoric or non-referential pronouns. The word it is one of the most frequent words in the English language accounting for about 1 of tokens in text and over a quarter of all .

• Báo cáo khoa học
• Distributional Identification
• Non Referential Pronouns
• Shane Bergsma Dekang Lin Randy Goebel
• báo cáo khoa học
• báo cáo ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• A Supervised Learning
• Approach to Automatic Synonym Identification
• Distributional Features
• 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