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A Hybrid Approach for Named Entity and Sub-Type Tagging 命名实体和子类型标记的混合方法
Applied Natural Language Processing Conference Pub Date : 2000-04-29 DOI: 10.3115/974147.974181
R. Srihari
{"title":"A Hybrid Approach for Named Entity and Sub-Type Tagging","authors":"R. Srihari","doi":"10.3115/974147.974181","DOIUrl":"https://doi.org/10.3115/974147.974181","url":null,"abstract":"This paper presents a hybrid approach for named entity (NE) tagging which combines Maximum Entropy Model (MaxEnt), Hidden Markov Model (HMM) and handcrafted grammatical rules. Each has innate strengths and weaknesses; the combination results in a very high precision tagger. MaxEnt includes external gazetteers in the system. Sub-category generation is also discussed.","PeriodicalId":103133,"journal":{"name":"Applied Natural Language Processing Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130178120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 142
PartsID: A Dialogue-Based System for Identifying Parts for Medical Systems PartsID:基于对话的医疗系统部件识别系统
Applied Natural Language Processing Conference Pub Date : 2000-04-29 DOI: 10.3115/974147.974152
Amit Bagga, T. Strzalkowski, G. B. Wise
{"title":"PartsID: A Dialogue-Based System for Identifying Parts for Medical Systems","authors":"Amit Bagga, T. Strzalkowski, G. B. Wise","doi":"10.3115/974147.974152","DOIUrl":"https://doi.org/10.3115/974147.974152","url":null,"abstract":"This paper describes a system that provides customer service by allowing users to retrieve identification numbers of parts for medical systems using spoken natural language dialogue. The paper also presents an evaluation of the system which shows that the system successfully retrieves the identification numbers of approximately 80% of the parts.","PeriodicalId":103133,"journal":{"name":"Applied Natural Language Processing Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131171763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Unsupervised Discovery of Scenario-Level Patterns for Information Extraction
Applied Natural Language Processing Conference Pub Date : 2000-04-29 DOI: 10.3115/974147.974186
R. Yangarber, R. Grishman, P. Tapanainen
{"title":"Unsupervised Discovery of Scenario-Level Patterns for Information Extraction","authors":"R. Yangarber, R. Grishman, P. Tapanainen","doi":"10.3115/974147.974186","DOIUrl":"https://doi.org/10.3115/974147.974186","url":null,"abstract":"Information Extraction (IE) systems are commonly based on pattern matching. Adapting an IE system to a new scenario entails the construction of a new pattern base---a time-consuming and expensive process. We have implemented a system for finding patterns automatically from un-annotated text. Starting with a small initial set of seed patterns proposed by the user, the system applies an incremental discovery procedure to identify new patterns. We present experiments with evaluations which show that the resulting patterns exhibit high precision and recall.","PeriodicalId":103133,"journal":{"name":"Applied Natural Language Processing Conference","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121541247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 114
Experiments on Sentence Boundary Detection 句子边界检测实验
Applied Natural Language Processing Conference Pub Date : 2000-04-29 DOI: 10.3115/974147.974159
Mark Stevenson, R. Gaizauskas
{"title":"Experiments on Sentence Boundary Detection","authors":"Mark Stevenson, R. Gaizauskas","doi":"10.3115/974147.974159","DOIUrl":"https://doi.org/10.3115/974147.974159","url":null,"abstract":"This paper explores the problem of identifying sentence boundaries in the transcriptions produced by automatic speech recognition systems. An experiment which determines the level of human performance for this task is described as well as a memory-based computational approach to the problem.","PeriodicalId":103133,"journal":{"name":"Applied Natural Language Processing Conference","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126486571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 68
Language Independent Morphological Analysis 独立于语言的形态分析
Applied Natural Language Processing Conference Pub Date : 2000-04-29 DOI: 10.3115/974147.974179
Tatsuo Yamashita, Yuji Matsumoto
{"title":"Language Independent Morphological Analysis","authors":"Tatsuo Yamashita, Yuji Matsumoto","doi":"10.3115/974147.974179","DOIUrl":"https://doi.org/10.3115/974147.974179","url":null,"abstract":"This paper proposes a framework of language independent morphological analysis and mainly concentrate on tokenization, the first process of morphological analysis. Although tokenization is usually not regarded as a difficult task in most segmented languages such as English, there are a number of problems in achieving precise treatment of lexical entries. We first introduce the concept of morpho-fragments, which are intermediate units between characters and lexical entries. We describe our approach to resolve problems arising in tokenization so as to attain a language independent morphological analyzer.","PeriodicalId":103133,"journal":{"name":"Applied Natural Language Processing Conference","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121127353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 18
Translation using Information on Dialogue Participants 利用对话参与者信息进行翻译
Applied Natural Language Processing Conference Pub Date : 2000-04-29 DOI: 10.3115/974147.974153
Setsuo Yamada, E. Sumita, H. Kashioka
{"title":"Translation using Information on Dialogue Participants","authors":"Setsuo Yamada, E. Sumita, H. Kashioka","doi":"10.3115/974147.974153","DOIUrl":"https://doi.org/10.3115/974147.974153","url":null,"abstract":"This paper proposes a way to improve the translation quality by using information on dialogue participants that is easily obtained from outside the translation component. We incorporated information on participants' social roles and genders into transfer rules and dictionary entries. An experiment with 23 unseen dialogues demonstrated a recall of 65% and a precision of 86%. These results showed that our simple and easy-to-implement method is effective, and is a key technology enabling smooth conversation with a dialogue translation system.","PeriodicalId":103133,"journal":{"name":"Applied Natural Language Processing Conference","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125086002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Large-scale Controlled Vocabulary Indexing for Named Entities 命名实体的大规模受控词汇索引
Applied Natural Language Processing Conference Pub Date : 2000-04-29 DOI: 10.3115/974147.974185
Mark Wasson
{"title":"Large-scale Controlled Vocabulary Indexing for Named Entities","authors":"Mark Wasson","doi":"10.3115/974147.974185","DOIUrl":"https://doi.org/10.3115/974147.974185","url":null,"abstract":"A large-scale controlled vocabulary indexing system is described. The system currently covers almost 70, 000 named entity topics, and applies to documents from thousands of news publications. Topic definitions are built through substantially automated knowledge engineering.","PeriodicalId":103133,"journal":{"name":"Applied Natural Language Processing Conference","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121035276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Distilling dialogues - A method using natural dialogue corpora for dialogue systems development 提炼对话-一种使用自然对话语料库进行对话系统开发的方法
Applied Natural Language Processing Conference Pub Date : 2000-04-29 DOI: 10.3115/974147.974154
Arne Jönsson, Nils Dahlbäck
{"title":"Distilling dialogues - A method using natural dialogue corpora for dialogue systems development","authors":"Arne Jönsson, Nils Dahlbäck","doi":"10.3115/974147.974154","DOIUrl":"https://doi.org/10.3115/974147.974154","url":null,"abstract":"We report on a method for utilising corpora collected in natural settings. It is based on distilling (re-writing) natural dialogues to elicit the type of dialogue that would occur if one the dialogue participants was a computer instead of a human. The method is a complement to other means such as Wizard of Oz-studies and un-distilled natural dialogues. We present the distilling method and guidelines for distillation. We also illustrate how the method affects a corpus of dialogues and discuss the pros and cons of three approaches in different phases of dialogue systems development.","PeriodicalId":103133,"journal":{"name":"Applied Natural Language Processing Conference","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125746094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 30
Extracting Molecular Binding Relationships from Biomedical Text 从生物医学文本中提取分子结合关系
Applied Natural Language Processing Conference Pub Date : 2000-04-29 DOI: 10.3115/974147.974173
T. Rindflesch, J. Rajan, L. Hunter
{"title":"Extracting Molecular Binding Relationships from Biomedical Text","authors":"T. Rindflesch, J. Rajan, L. Hunter","doi":"10.3115/974147.974173","DOIUrl":"https://doi.org/10.3115/974147.974173","url":null,"abstract":"ARBITER is a Prolog program that extracts assertions about macromolecular binding relationships from biomedical text. We describe the domain knowledge and the underspecified linguistic analyses that support the identification of these predications. After discussing a formal evaluation of ARBITER, we report on its application to 491, 000 MEDLINE® abstracts, during which almost 25, 000 binding relationships suitable for entry into a database of macromolecular function were extracted.","PeriodicalId":103133,"journal":{"name":"Applied Natural Language Processing Conference","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114658614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 115
Sentence Reduction for Automatic Text Summarization 自动文本摘要的句子缩减
Applied Natural Language Processing Conference Pub Date : 2000-04-29 DOI: 10.3115/974147.974190
Hongyan Jing
{"title":"Sentence Reduction for Automatic Text Summarization","authors":"Hongyan Jing","doi":"10.3115/974147.974190","DOIUrl":"https://doi.org/10.3115/974147.974190","url":null,"abstract":"We present a novel sentence reduction system for automatically removing extraneous phrases from sentences that are extracted from a document for summarization purpose. The system uses multiple sources of knowledge to decide which phrases in an extracted sentence can be removed, including syntactic knowledge, context information, and statistics computed from a corpus which consists of examples written by human professionals. Reduction can significantly improve the conciseness of automatic summaries.","PeriodicalId":103133,"journal":{"name":"Applied Natural Language Processing Conference","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128224676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 305
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