tailieunhanh - Báo cáo khoa học: "Automatic Acquisition of English Topic Signatures Based on a Second Language"

We present a novel approach for automatically acquiring English topic signatures. Given a particular concept, or word sense, a topic signature is a set of words that tend to co-occur with it. Topic signatures can be useful in a number of Natural Language Processing (NLP) applications, such as Word Sense Disambiguation (WSD) and Text Summarisation. | Automatic Acquisition of English Topic Signatures Based on a Second Language Xinglong Wang Department of Informatics University of Sussex Brighton BN1 9QH UK xw20@ Abstract We present a novel approach for automatically acquiring English topic signatures. Given a particular concept or word sense a topic signature is a set of words that tend to co-occur with it. Topic signatures can be useful in a number of Natural Language Processing NLP applications such as Word Sense Disambiguation WSD and Text Summarisation. Our method takes advantage of the different way in which word senses are lexicalised in English and Chinese and also exploits the large amount of Chinese text available in corpora and on the Web. We evaluated the topic signatures on a WSD task where we trained a second-order vector cooccurrence algorithm on standard WSD datasets with promising results. 1 Introduction Lexical knowledge is crucial for many NLP tasks. Huge efforts and investments have been made to build repositories with different types of knowledge. Many of them have proved useful such as WordNet Miller et al. 1990 . However in some areas such as WSD manually created knowledge bases seem never to satisfy the huge requirement by supervised machine learning systems. This is the so-called knowledge acquisition bottleneck. As an alternative automatic or semi-automatic acquisition methods have been proposed to tackle the bottleneck. For example Agirre et al. 2001 tried to automatically extract topic signatures by querying a search engine using monosemous synonyms or other knowledge associated with a concept defined in WordNet. The Web provides further ways of overcoming the bottleneck. Mihalcea et al. 1999 presented a method enabling automatic acquisition of sense-tagged corpora based on WordNet and an Internet search engine. Chklovski and Mihalcea 2002 presented another interesting proposal which turns to Web users to produce sense-tagged corpora. Another type of method which exploits .

• Báo cáo khoa học
• Automatic Acquisition
• English Topic Signatures
• a Second Language
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Automatic Selectional Preference Acquisition
• Latin verbs
• Barbara McGillivray
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Ranked Qualia Structures from the Web
• Philipp Cimiano Johanna Wenderoth
• Adjectival Subcategorization from Corpora
• Jeremy Yallop
• An Improved Extraction
• Pattern Representation Model
• Automatic IE Pattern Acquisition
• Automatic Acquisition of Named
• Entity Tagged Corpus
• World Wide Web
• Language Model
• Head Dependent Relation between Words
• SUBCATEGORIZATION FRAMES
• UNTAGGED TEXT
• A LARGE SUBCATEGORIZATION DICTIONARY FROM CORPORA
• Christopher D
• Manning
• THE LEXICAL SEMANTICS OF VERBS
• SENTENCE FRAMES
• scientific reports
• model language
• process natural language
• Knowledge Acquisition from Texts
• Using an Automatic Clustering Method
• Noun Modifier Relationship
• Script Knowledge
• Text Collection
• NATURALLANGUAGEPROCESSINGAND THE AUTOMATIC
• ACQUISITION OF KOLDENWEG
• Long Papers