named entities in text
Báo cáo khoa học: "Detecting Semantic Relations between Named Entities in Text Using Contextual Features" pdf
... use cen-tering theory (Kameyama, 1986) to determine howeasily a noun phrase can be referred to in the follow-ing context.2.2 Centering TheoryCentering theory is an empirical sorting rule used ... pronoun in the text, noun phrasesthat are in the previous context of the pronoun aresorted in order of likelihood of being the antecedent.The sorting algorithm has two steps. First, from thebeginning ... asuFigure 2: Centering Structureing referred to in the context with the following NE“amerika32”. Whether or not the antecedent NE isreferred to in the context with the following NE isused as...
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Báo cáo khoa học: "Annotating and Recognising Named Entities in Clinical Notes" pot
... clin-ical named entities in 11 entity types. Thispaper reports on the challenges involved in creating the annotation schema, and recog-nising and annotating clinical named enti-ties. The information ... are only usedonce.The clinical information extraction problem isaddressed in this work by applying machine learn-ing methods to a corpus annotated for clinical named entities. The data selection ... bio-textmining. Journal of Bioinformatics,19(1),180–182.J. Lafferty et al. 2001. Conditional Random Fields:Probabilistic Models for Segmenting and Label-ing Sequence Data Machine learning-internationalworkshop...
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Báo cáo khoa học: "Recognizing Named Entities in Tweets" docx
... 2010.Annotating named entities in twitter data with crowd-sourcing. In CSLDAMT, pages 80–88.Jenny Rose Finkel and Christopher D. Manning. 2009.Nested named entity recognition. In EMNLP, pages141–150.Jenny ... 2009. Annotating and recognising named entities in clinical notes. In ACL-IJCNLP, pages 18–26.Dan Wu, Wee Sun Lee, Nan Ye, and Hai Leong Chieu.2009. Domain adaptive bootstrapping for named en-tity ... transcripts. In EMNLP,pages 320–327.Jing Jiang and ChengXiang Zhai. 2007. Instance weight-ing for domain adaptation in nlp. In ACL, pages 264–271.Dan Klein and Christopher D. Manning. 2003....
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Hiệu quả với quảng cáo trực tuyến in-text
... qua một quảng cáo in- text. Còn khách hàng quảng cáo thì chỉ trả cho Vibrant dựa trên số lần mà người đọc thực sự click chuột vào quảng cáo đó. Thống kê cho thấy, quảng cáo in- text thu hút lượng ... cáo. Tuy nhiên, danh sách những từ ngữ này cũng thay đổi liên tục. Tờ Indianapolis Star đã bắt đầu áp dụng quảng cáo in- text từ tháng 8 vừa qua. Partricia Miller, Giám đốc phụ trách quảng cáo ... khi tỷ lệ độc giả trỏ chuột và nhấp vào các quảng cáo in- text là từ 3% đến 10%, tùy vào loại sản phẩm quảng cáo. (Theo Vneconomy/BusinessWeek) ...
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Tài liệu New product development in textiles potx
... Woodhead Publishing Limited, 2012 The Textile Institute and Woodhead Publishing The Textile Institute is a unique organisation in textiles, clothing and footwear. Incorporated in England by ... discount merchandising, opening its fi rst Target discount store in 1962. In 1966 it branched out into discount book selling. Through growing expertise in sourcing and buying in bulk, strong fi ... example, IBM (International Business Machine), 3M (Minnesota and Mining) or even retailers such as the Dayton-Hudson Corporation, now operating as Target. The International Business Machine Company...
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Tài liệu Báo cáo khoa học: "DISCOURSE ENTITIES IN JANUS" pot
... Webber's rules to detect modal and other index-binding contexts. In representing DEs for indefinites (appearing as existential formulae in our meaning representation), we replaced Webber's ... DEs originating from non-linguistic sources, such as pointing actions, were taken into account. The discourse entities are used in intra- and extra-sentential pronoun resolution in BBN Janus. ... for generating DEs for dependent quantifiers stemming from indefinite and definite NPs which over- comes some difficulties in capturing dependencies be- tween discourse entities. In our multi-modal...
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Báo cáo khoa học: "Probabilistic Document Modeling for Syntax Removal in Text Summarization" ppt
... B. Tenenbaum. 2005. Integrating topics andsyntax. In In Advances in Neural Information Pro-cessing Systems 17, pages 537–544. MIT Press.646to an approximation. Following Griffiths et al.(2005), ... Somefuture work includes applying this model to areassuch as topic tracking and text segmentation, andcoherently adjusting it to fit an n-gram modelingapproach.AcknowledgmentsWilliam Darling is supported ... statistically significant increases.5 Conclusions and Future WorkThis paper has described using a domain-independent document modeling approach ofavoiding low-content syntax words in an NLP taskwhere...
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Báo cáo khoa học: "Using Syntax to Disambiguate Explicit Discourse Connectives in Text" pot
... improvement over those ob-tained by Marcu (2000) in his corpus-based ap-proach which achieves an f-score of 84.9%3foridentifying discourse connectives in text. Whilebearing in mind that the evaluations ... it appears.For training and testing, we used explicit dis-course connectives annotated in the PDTB as pos-itive examples and occurrences of the same strings in the PDTB texts that were not ... high baseline, with an f-score of75.33% and an accuracy of 85.86%. Interest-ingly, using only the syntactic features, ignoringthe identity of the connective, is even better, re-sulting in an...
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Báo cáo khoa học: "A Study on Automatically Extracted Keywords in Text Categorization" doc
... machines in text categorization. In Pro-ceedings of the 20th International Conference onComputational Linguistics (COLING 2004), pages487–493.Yiming Yang and Xin Liu. 1999. A re-examinationof ... tothe baseline. The best performance was obtainedwhen using a boolean feature value, and setting theminimum number of occurrence in training data tothree (giving an F-measure of 56.9%). In the ... text categorization methods. In Proceedings ofthe 22nd Annual International ACM SIGIR Confer-ence on Research and Development in InformationRetrieval, pages 42–49.544uments in the training...
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Báo cáo khoa học: " Translating Named Entities Using Monolingual and Bilingual Resources" ppt
... part of the FBIS 2001 Multilingual corpus.Translating Named Entities Using Monolingual and Bilingual ResourcesYaser Al-Onaizan and Kevin KnightInformation Sciences InstituteUniversity of Southern ... becausemany are domain specific, notto be found in bilingual dictionaries. Wepresent a novel algorithm for translating named entity phrases using easily obtain-able monolingual and bilingual resources.We ... to iden-tify all named entities in the topretrieved docu-ments for each sub-phrase. All named entities ofthe type of the named entity in question (e.g., PER-SON) foundin the retrieved documents...
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Báo cáo khoa học: "A multi-staged approach to identifying complex events in textual data" ppt
... importantcontextual information using text classificationmethods. We also use text classification methodsto help users to more quickly focus on an areawhere interesting transactions exist in an interac-tive ... Workshop on Information Filtering.Lodhi, H., Saunders, C., Shawe-Taylor, J., Cristianini,and N., Watkins, C. 2002. Text classification usingstring kernels. Journal of Machine Learning Re-search, ... 419-444.Vilain, M. and Day, D. 1996. Finite-state Phrase Pars-ing by Rule Sequences, Proc. of COLING-96.Vilain, M. 1999. Inferential information extraction. In Pazienza, M.T. & Basili, R., Information...
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Báo cáo khoa học: "Finding Contradictions in Text" docx
... polarity for textual infer-ence. In Proceedings of ICoS-5.Olivia Sanchez-Graillet and Massimo Poesio. 2007. Dis-covering contradiction protein-protein interactions in text. In Proceedings of BioNLP ... appliedto intelligence reports, demonstrating which infor-mation may need further verification. In bioinfor-matics where protein-protein interaction is widelystudied, automatically finding conflicting ... asshown in the last two lines of table 5.4This stands in contrast with the low inter-annotator agree-ment reported by Sanchez-Graillet and Poesio (2007) for con-tradictions in protein-protein interactions....
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Báo cáo khoa học: "Using Readers to Identify Lexical Cohesive Structures in Texts" potx
... Hearst. 1997. Texttiling: Segmenting text intomulti-paragraph subtopic passages. ComputationalLinguistics, 23(1):33–64.Lynette Hirschman, Patricia Robinson, John D. Burger,and Marc Vilain. 1998. ... annota-tions. The wordlist contained words from the text, in their appearance order, excluding verbatim and in ectional repetitions3. People were instructed toread the text first, and then go through ... one fiction story were taken in full; others were cut at a meaningful break to staywithin 1000 word limit. The texts were in English -original language for all but two texts.Our subjects were...
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Báo cáo khoa học: "Discovering Relations among Named Entities from Large Corpora" pot
... of named entities and their context3. measuring context similarities among pairs of named entities 4. making clusters of pairs of named entities 5. labeling each cluster of pairs of named entities We ... corpora. The key idea is clustering pairs of named entities according to the similarity of con- text words intervening between the named entities. Our experiments using one year of newspapers re-veals ... little higher in the PER-GPE domain than in the COM-COM do-main, perhaps because there were more NE pairswith high cosine similarity in the PER-GPE do-main than in the COM-COM domain. However,...
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- processing names in texts
- extended named entities detection
- discourse entities in janus
- entropy rate constancy in text
- ellipsis in text generation
- recognizing named entities in tweets
- recognizing named entities in tweets acl 2011
- display html entities in textarea
- annotating and recognising named entities in clinical notes
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