Báo cáo khoa học: "A Machine Learning Approach to Extract Temporal Information from Texts in Swedish and Generate Animated 3D Scenes" docx

... A Machine Learning Approach to Extract Temporal Information from Texts in Swedish and Generate Animated 3D ScenesAnders Berglund Richard Johansson Pierre ... Annotating Texts with Temporal Information Several schemes have been proposed to anno-tate temporal information in texts, see Setzer and Gaizauskas (2002), inter alia. Many of them wereincompatible ... small do-main ontology and inserts them into the template.We use the event relations resulting from temporal information extraction module to order them. Forall pairs of events in the template,...

Báo cáo khoa học: "A Machine Learning Approach to German Pronoun Resolution" docx

... between ignoringpronominal antecedents (and risking to discard allthe correct antecedents within the window) and re-solving them (and risking multiplication of errors). In case all of the instances ... rule-based and the machine learning approach. For the latter, good results have been achievedwith large feature sets (including syntactic, se-mantic, grammatical and morphological informa-tion) ... A Machine Learning Approach to German Pronoun ResolutionBeata KouchnirDepartment of Computational LinguisticsT¨ubingen University72074 T¨ubingen, Germanykouchnir@sfs.uni-tuebingen.deAbstractThis...

Báo cáo khoa học: "A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue" docx

... A Machine Learning Approach to Pronoun Resolution in Spoken DialogueMichael Strube and Christoph M¨ullerEuropean Media Laboratory GmbHVilla BoschSchloß-Wolfsbrunnenweg ... resolution in written text.3.2 Data GenerationTraining and test data instances were generated from our corpus as follows. All markables were sorted in document order, and markables for ﬁrst and sec-ond ... (1995)), addingit to the model. We then train classiﬁers combiningthe enhanced model with each of the remaining fea-tures separately. We again choose the best perform-ing classiﬁer and add the...

Báo cáo khoa học: "A machine-learning approach to the identification of WH gaps" doc

... paper consists in the de-velopment of a machine- learning approach to theidentification of WH gaps. This approach reducesthe lexical prerequisites for this task, while main-taining a high degree ... necessary for in- terpretation of the sentence, and could contribute to a natural language understanding or machine translation application. Since WH dependenciesalso tend to distort the surface ... A machine- learning approach to the identification of WH gapsDerrick HigginsEducational Testing Servicedchiggin@alumni.uchicago.eduAbstract In this paper, we pursue...

Báo cáo khoa học: "A machine learning approach to the automatic evaluation of machine translation" potx

... a machine learning approach to evaluating the well-formedness of output of a machine translation system, using classifiers thatlearn to distinguish human referencetranslations from machine ... transferred to the targetlanguage.AcknowledgementsOur thanks go to Eric Ringger and MaxChickering for programming assistance with thetools used in building and evaluating thedecision trees, and to ... minus number of left-branchingnodes¾ branching index for NPs only¾ branching weight index: number oftokens covered by right-branchingnodes minus number of tokens coveredby left-branching...

Báo cáo khoa học: "A Supervised Learning Approach to Automatic Synonym Identiﬁcation based on Distributional Features" ppt

... similarity set-ting, in contrast, the contributions of context typesare uniformly ﬁxed. In order to elucidate what ishappening in this situation, the investigations on ma-chine learning settings, as ... well-performing contextual information in the past stud-ies (Ruge, 1997; Lin, 1998). In this paper the sophis-ticated parser RASP Toolkit 2 (Briscoe et al., 2006)was utilized to extract this kind ... approach is enhancedwith the supervised machine learning. In this paper, we propose a novel approach to automatic synonym identiﬁcation based on super-vised learning technique. Firstly, we re-formalizesynonym...

Báo cáo khoa học: "A Meta Learning Approach to Grammatical Error Correction" doc

... training and test data. We hold out 10% of the data for the test. We applied 20% under-sampling to the training instances that do not have any errors to alleviate data imbalance in the training ... containing ~3,300 mistakes in article usage were extracted from the entire CLC-FCE corpus, and (3) about 30k noun phrases containing ~2,500 mistakes were extracted from the JLE corpus. The extracted ... structural learning. We adopted the feature set investigated in De Felice (2008) for article error correction. We use the Stanford coreNLP toolkit1 (Toutanova and Manning, 2000; Klein and Manning,...

Tài liệu Báo cáo khoa học: "A Ranking-based Approach to Word Reordering for Statistical Machine Translation" doc

... ci, and wjis the corresponding featureweight.3 Ranking Model Training To learn ranking function in Equation (1), we need to determine the feature set θ and learn weight vectorw from reorder ... and integrated decoding settings. In the rest of the paper, we will ﬁrst formallypresent our ranking-based word reordering model,then followed by detailed steps of modeling train-ing and integration ... simple binary classiﬁcation problem,which can be easily solved by a two-class linear sup-port vector machine. 4 Integration into SMT systemThere are two ways to integrate the ranking reorder-ing...

Báo cáo khoa học: "A Word-Class Approach to Labeling PSCFG Rules for Machine Translation" pot

... clusteringfor discriminative learning. In Proceedings of the 47thAnnual Meeting of the Association for ComputationalLinguistics (ACL).Yang Liu, Qun Liu, and Shouxun Lin. 2006. Tree -to- string alignment ... feature informing the labeling pro-cess seems more desirable.We thus propose to represent each phrase pair in- stance (including its bilingual one-word contexts) asfeature vectors, i.e., points ... by injecting supertags, lexical in- formation such as the POS tag of the word and itssubcategorization information, into the phrase table,resulting in generalized phrases with placeholders in them....

Báo cáo khoa học: "Using Machine Learning Techniques to Build a Comma Checker for Basque" pdf

... nominal chunks to the begin-ning and to the end of the sentence number of subordinate-clause marks to the beginning and to the end of the sen-tence distance (in tokens) to the beginning and ... means we took into account the pre-vious 5 tokens and the following 5. We also used the C4.5 algorithm initially, since this algorithm gets very good results in other similar machine learning ... Spain.{acpalloi,bertol,jipdisaa,jibizole,jipmaanm}@ehu.esAbstract In this paper, we describe the research using machine learning techniques to build a comma checker to be integrated in a...

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