Báo cáo khoa học: "Semi-Supervised Sequential Labeling and Segmentation using Giga-word Scale Unlabeled Data" pdf

Tài liệu Báo cáo khoa học: "A New Dataset and Method for Automatically Grading ESOL Texts" pdf

... instances of types i and ii are weighted using the tf*idf scheme and normalised by the L2norm. Feature type iii is weighted using frequencycounts, while iii and iv are scaled so that their ... processes, pages259–284.T.K. Landauer, D. Laham, and P.W. Foltz. 2003. Au-tomated scoring and annotation of essays with the In-telligent Essay Assessor. In M.D. Shermis and J.C.Burstein, editors, ... shared dataset for training and test-ing such systems and comparing their performance.As it is likely that the deployment of such systemswill increase, standardised and independent evalua-tion...

Báo cáo khoa học: Alternative splicing: good and bad effects of translationally silent substitutions pdf

... describe the current under-standing in the ﬁeld and discuss emerging directions in the study of thesplicing mechanism by integrating disease-causing splicing mutations and evolutionary changes.AbbreviationsKa, ... and further elucidation of this complex and interesting system. Evolutionary studies representanother important ﬁeld for the investigation of the ele-ments involved in splicing regulation and ... are available to us for this purpose and further investigation of these sequence variants willnot only further our understanding of the splicingmechanism and improve clinical diagnostic testing,...

Báo cáo khoa học: "Joint Identiﬁcation and Segmentation of Domain-Speciﬁc Dialogue Acts for Conversational Dialogue Systems" doc

... retrained using thedata described in section 3. This NLU module per-forms maximum entropy multiclass classification, using features derived from the words in the inpututterance, and using dialogue ... dialogue act, and Overall indicates the performanceover the entire set. P stands for precision, R for recall, and F for F-score.3.3 ResultsTable 2 shows the performance of our approach and the two ... Research, Development, and Engineering Command (RDECOM). State-ments and opinions expressed do not necessarily re-flect the position or the policy of the United StatesGovernment, and no official endorsement...

Báo cáo khoa học: "Semitic Morphological Analysis and Generation Using Finite State Transducers with Feature Structures" pot

... state transducers (Johnson, 1972; Kaplan and Kay, 1994) (FSTs) and that the rule orderingcould be dispensed with using FSTs that relate thesurface and lexical levels directly (Koskenniemi,1983). ... wordclass, and one or more sublexicons. For example,to handle written English nouns, we could create acascade of FSTs covering the rules that insert an ein words like bushes and parties and relate ... mor-phological analyzers and generators.2.1 The stemA Tigrinya verb (Leslau, 1941 is a standard ref-erence for Tigrinya grammar) consists of a stem and one or more preﬁxes and sufﬁxes. Most ofthe...

Tài liệu Báo cáo khoa học: "Automatic error detection in the Japanese learners’ English spoken data" pdf

... word/one preceding word and two following words), and the first and last letter of the word immediately following. (In Fig. 2, “t” and “e” in “telephone”.) The word classes and root forms were ... one preceding/ the targeted word and the one following/ the targeted word and the two preceding/ the targeted word and the two fol-lowing), and the first and last letters of the word. 3.4 ... word and the two preceding and follow-ing words, their word classes, their root forms, five combinations of these (the targeted word, the one preceding and one following/ the targeted word and...

Báo cáo khoa học: "Semi-Supervised Sequential Labeling and Segmentation using Giga-word Scale Unlabeled Data" pdf

... Association for Computational LinguisticsSemi-Supervised Sequential Labeling and Segmentation using Giga-word Scale Unlabeled DataJun Suzuki and Hideki IsozakiNTT Communication Science Laboratories, ... Kim Sang and Buchholz,2000) and NER with the CoNLL’03 shared taskdata (Tjong Kim Sang and Meulder, 2003).One remaining question is the behavior of SSLwhen using as much labeled and unlabeled ... resourcesJESS-CM (CRF/HMM) 95.15 1G-word unlabeled data94.67 15M-word unlabeled data(Ando and Zhang, 2005) 94.39 15M-word unlabeled data(Suzuki et al., 2007) 94.36 17M-word unlabeled data(Zhang et al.,...

Báo cáo khoa học: "Semantic Role Labeling via FrameNet, VerbNet and PropBank" potx

... (Carreras and M`arquez,2005) on PropBank (PB) (Kingsbury and Palmer,2002) role labeling. The systems that participatedin the task were trained on the Wall Street Jour-nal corpus (WSJ) and tested ... (nouns, adjectives and verbs), we only con-centrated on the verb predicates and their roles.The results show that: (1) ILC can be derivedwith high accuracy for both FN and Probank and (2) ILC can ... there is no ﬁxed split between training and testing, we randomly selected 20% of sentencesfor testing and 80% for training. The sentenceswere processed using Charniak’s parser (Char-niak, 2000)...

Báo cáo khoa học: "SenseClusters: Unsupervised Clustering and Labeling of Similar Contexts" potx

... features and unsupervised clustering.Our initial work (Purandare and Pedersen, 2004)focused on word sense discrimination, which takesas input contexts that each contain a given targetword, and ... Interactive Poster and Demonstration Sessions,pages 105–108, Ann Arbor, June 2005.c2005 Association for Computational LinguisticsSenseClusters: Unsupervised Clustering and Labeling of Similar ... ef-fectively represented using ﬁrst order (Pedersen and Bruce, 1997) or second order (Sch¨utze, 1998) rep-resentations. SenseClusters provides extensive sup-port for both, and allows for them...

Báo cáo khoa học: "Hierarchical Sequential Learning for Extracting Opinions and their Attributes" ppt

... ofopinion (e.g. Kim and Hovy (2005), Popescu and Etzioni (2005), Breck et al. (2007)), determiningtheir polarity (e.g. Hu and Liu (2004), Kim and Hovy (2004), Wilson et al. (2005)), and determin-ing ... attribute (using com-mon features and polarity extraction features inSection 3), and another that extracts opinion ex-pressions only with the intensity attribute (using common features and intensity ... λ′γ,ˆγg′S(γ, ˆγ, x, i)where gO and g′Oare feature vectors deﬁned forOpinion extraction, gP and g′Pare feature vectorsdeﬁned for Polarity extraction, and gS and g′Sarefeature vectors...

Báo cáo khoa học: "Semantic Role Labeling: Past, Present and Future" ppt

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