automatically evaluating text coherence using discourse relations
Báo cáo khoa học: "Automatically Evaluating Text Coherence Using Discourse Relations" docx
... June 19-24, 2011.c2011 Association for Computational Linguistics Automatically Evaluating Text Coherence Using Discourse Relations Ziheng Lin, Hwee Tou Ng and Min-Yen KanDepartment of Computer ... coherent andincoherent text in training to determine an unseen text s coherence. To evaluate the coherence of a text, we extract sub-sequences with various lengths fromthe discourse role matrix ... problem.4.1 Discourse Role MatrixFigure 1 shows a text and its gold standard PDTB discourse relations. When a term appears in a dis-course relation, the discourse role of this term isdefined as the discourse...
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Báo cáo khoa học: "Evaluating Centering-based metrics of coherence for text structuring using a reliably annotated corpus" doc
... when used by a text planner. Weconclude by discussing our experiments in whichthis methodology is applied using a subset of thegnome corpus.2 Evaluating the coherence of acorpus text according ... in (1).72.3 Evaluating the coherence of a text and text structuringThe statistics about transitions computed asjust discussed can be used to determine the de-gree to which a text conforms ... al. (2004) to evaluate the coherence of a text according to Centering.2.1 Computing CF lists, CPs and CBsAccording to Grosz et al. (1995), each “utter-ance” in a discourse is assigned a list...
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Tài liệu Báo cáo khoa học: "Discourse Relations: A Structural and Presuppositional Account Using Lexicalised TAG*" docx
... semantic links (R j) between discourse clauses (Ci): (a) back to the same discourse clause; (b) back to different discourse clauses; (c) back to different discourse clauses, with crossing ... der Sandt, 1992). This simpli- fies discourse structure, while still allowing the real- isation of a full range of discourse relations. This is achieved using the same semantic machinery used ... Coling/ACL Workshop on Discourse Relations and Discourse Markers, pages 86-92, Montreal, Canada. Bonnie Webber, Alistair Knott, and Aravind Joshi. 1999. Multiple discourse connectives in...
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Báo cáo khoa học: "Robust VPE detection using Automatically Parsed Text" pdf
... Effects of using the empty categories5 Experiments with Automatically Parsed dataThe next set of experiments use the BNC andTreebank, but strip POS and parse information,and parse them automatically ... summarise the findings :• Using the BNC, which is tagged with a com-plex tagging scheme but has no parse data, itis possible to get 76% F1 using lexical formsand POS data alone• Using the Treebank, ... raised to 68% using extra fea-tures• Parsing the BNC, top performance is 71%,raised to 72% using extra features• Combining the parsed data, top performanceis 67%, raised to 71% using extra...
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Automatic text extraction using DWT and Neural Network
... video database. However, text extraction presents a number of problems because the properties of text may vary, as well as the text sizes and the text fonts. Furthermore, texts may appear in a ... horizontal edges to obtain candidate text regions. Real Text regions are then identified using the support vector machine. Text regions usually have special texture features because they consist ... or compressed images. Text extraction from uncompressed image can be classified as either component-based or texture-based. For component-based text extraction methods, text regions are detected...
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Database Design Using Entity-Relationship Diagrams
... Understand that the parent–child relationship is not meant to be a human relationship. The term "parent–child" is simply a convenient reference to a common familial relationship. The "child" ... through 9) is written using the Chen-like model. Why did we choose this model? Chen (1976) introduced the idea of ER diagrams (Elmasri and Navathe, 2000), and most database texts use some variant ... Shoe Size. A partial proof using the reflexive rule would be: Name → City, Shoe Size (given) City, Shoe Size → City (by the reflexive rule) Name → City (using steps 1 and 2 and the...
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Tài liệu Báo cáo khoa học: "Identifying Text Polarity Using Random Walks" pptx
... (2005; 2006) use a textual representation ofwords by collating all the glosses of the word asfound in some dictionary. Then, a binary text clas-sifier is trained using the textual representation ... wordby analyzing its relations to other words. Auto-matically classifying words as either positive ornegative enables us to automatically identify thepolarity of larger pieces of text. This could ... USAradev@umich.eduAbstract Automatically identifying the polarity ofwords is a very important task in NaturalLanguage Processing. It has applicationsin text classification, text filtering, analysisof...
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Tài liệu Báo cáo khoa học: "An ERP-based Brain-Computer Interface for text entry using Rapid Serial Visual Presentation and Language Modeling" ppt
... interfaces (BCI). Thisparadigm is widely used to build letter-by-letter text input systems using BCI. Neverthe-less using a BCI-typewriter depending only onEEG responses will not be sufficiently ... 2011.c2011 Association for Computational LinguisticsAn ERP-based Brain-Computer Interface for text entry using Rapid Serial Visual Presentation and Language ModelingK.E. Hild◦,U. Orhan†,D. ... next letters to be typed be-come highly predictable in certain contexts, partic-ularly word-internally. In applications where text generation/typing speed is very slow, the impactof language...
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Tài liệu Báo cáo khoa học: "Extracting Comparative Sentences from Korean Text Documents Using Comparative Lexical Patterns and Machine Learning Techniques" doc
... 604-714 Korea yjko@dau.ac.kr Abstract This paper proposes how to automatically identify Korean comparative sentences from text documents. This paper first investigates many comparative sentences ... 153–156,Suntec, Singapore, 4 August 2009.c2009 ACL and AFNLPExtracting Comparative Sentences from Korean Text Documents Us-ing Comparative Lexical Patterns and Machine Learning Techniques Seon Yang ... In this section, we define comparative keywords and extract comparative-sentence candidates by using those keywords. 3.1 Comparative keyword First of all, we classify comparative sentences...
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Tài liệu Báo cáo khoa học: "Learning with Unlabeled Data for Text Categorization Using Bootstrapping and Feature Projection Techniques" doc
... words tend to appear in similar contexts, we can compute the similarity by using contextual information. Words and contexts play complementary roles. Contexts are similar to the extent that ... Bayes classifier using machine-labeled data as purpose and remaining contexts are assigned to each context-cluster by that revised technique. 1) Measurement of word and context similarities ... the Naive Bayes Classifier Using Context-Clusters In above section, we obtained labeled training data: context-clusters. Since training data are labeled as the context unit, we employ a Naive...
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Tài liệu Báo cáo khoa học: "An Unsupervised Approach to Recognizing Discourse Relations" pdf
... or NONE-OF-THE-ABOVE, even when the discourse relations are not explicitly signalled by discourse markers.2.2 Discourse relation definitionsThe discourse relations we focus on are definedat ... NO-RELATION examples arealso noisy because long distance relations are com-mon in well-written texts.3 Determining discourse relations using Naive Bayes classifiersWe hypothesize that we can ... twodifferent documents.Table 2: Patterns used to automatically construct acorpus of text span pairs labeled with discourse re-lations.CONDITION relations and the number of examplesextracted...
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Báo cáo khoa học: "DISCOURSE RELATIONS AND DEFEASIBLE KNOWLEDGE*" pptx
... sentential semantics by using defensible reasoning. Suppose that the reader also believes that the clauses in text (1) are related by some discourse relation, as they must be for the text to be coher- ... (3). The clauses in (3) must be related by a discourse relation for the text to be coherent, and therefore given the meanings of the discourse relations, the events described must be connected ... Problem The temporal interpretation of text involves an account of how the events described are related to each other. These relations follow from the discourse relations that are central to temporal...
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Báo cáo khoa học: "Sense Disambiguation Using Semantic Relations and Adjacency Information" docx
... "Noun Homograph Disambigu- ation Using Local Context in Large Text Corpora," Proceedings of the 7th Annual Conference of the UW Centre for the New OED and Text Research, Oxford, England. ... Ellen. M. 1993. " ;Using WordNet to Dis- ambiguate Word Senses for Text Retrieval," in Pro- ceedings of SIGIR'93. 295 Sense Disambiguation Using Semantic Relations and Adjacency ... the context in which the word occurs. The reference can be a standard dictionary or thesaurus, or a lexicon con- structed specially for some application. The context is provided by the text...
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Báo cáo khoa học: "Using Grammatical Relations to Compare Parsers" pptx
... to those that are necessary forthe anaphora resolution application (the ob-ject relations, the complement relations andthe ncmod relation), and those that are a sim-ple by-product of extracting ... we com-pare F1 using the t-test. The 500 sentencecorpus is split into 10 segments and an F-measure is computed for each algorithm on allsegments. These are then compared using thet-test. ... Missing(aux printed be) relation).•Extra ncmod relations, due to wrong iden-tification of the head by the algorithms orin the gold standard.•Extra iobj relations, due to a misclassifi-cation...
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Báo cáo khoa học: "Towards the Unsupervised Acquisition of Discourse Relations" pptx
... R. Dale. Using linguistic phenomenato motivate a set of coherence relations. Discourse processes, 18(1):35–62, 1994.J. van Kuppevelt and R. Smith, editors. Current Di-rections in Discourse ... approximation of discourse re-lations between different utterances in texts.Following the idea that every pair of eventscomes with preferences regarding the rangeand frequency of discourse relations ... another utterance, ibid.,p.257), or relations between entities mentioned inthe connected discourse segments (anaphoric rela-tions, Webber et al. 2003). Discourse relations canbe indicated explicitly...
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- discourse relations a structural
- text categorization using bootstrapping
- korean text documents using comparative lexical patterns
- implicit discourse relations in text
- text entry using rapid serial visual presentation
- automatically evaluating text coherence
- evaluating machine translations using mncd
- automatic evaluation of text coherence models and representations
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