... instances of types i and ii are weighted using the tf*idf scheme and normalised by the L2 norm. Feature type iii is weighted using frequency counts, while iii and iv are scaled so that their ... processes, pages 259–284. 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. Bu...
Ngày tải lên: 20/02/2014, 04:20
... describe the current under- standing in the field and discuss emerging directions in the study of the splicing mechanism by integrating disease-causing splicing mutations and evolutionary changes. Abbreviations K a , ... and further elucidation of this complex and interesting system. Evolutionary studies represent another important field for the investigation of the ele- ments involved...
Ngày tải lên: 06/03/2014, 09:22
Báo cáo khoa học: "Joint Identification and Segmentation of Domain-Specific Dialogue Acts for Conversational Dialogue Systems" doc
... retrained using the data described in section 3. This NLU module per- forms maximum entropy multiclass classification, using features derived from the words in the input utterance, and using dialogue ... dialogue act, and Overall indicates the performance over the entire set. P stands for precision, R for recall, and F for F-score. 3.3 Results Table 2 shows the performance of our a...
Ngày tải lên: 07/03/2014, 22:20
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 ordering could be dispensed with using FSTs that relate the surface and lexical levels directly (Koskenniemi, 1983). ... word class, and one or more sublexicons. For example, to handle written English nouns, we could create a cascade of FSTs covering the rules that insert an e in words like bushes and...
Ngày tải lên: 17/03/2014, 22:20
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...
Ngày tải lên: 20/02/2014, 16:20
Báo cáo khoa học: "Semi-Supervised Sequential Labeling and Segmentation using Giga-word Scale Unlabeled Data" pdf
... Association for Computational Linguistics Semi-Supervised Sequential Labeling and Segmentation using Giga-word Scale Unlabeled Data Jun Suzuki and Hideki Isozaki NTT Communication Science Laboratories, ... Kim Sang and Buchholz, 2000) and NER with the CoNLL’03 shared task data (Tjong Kim Sang and Meulder, 2003). One remaining question is the behavior of SSL when using...
Ngày tải lên: 23/03/2014, 17:20
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 participated in 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 derived with high accuracy for both FN and Pr...
Ngày tải lên: 08/03/2014, 02:21
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 takes as input contexts that each contain a given target word, and ... Interactive Poster and Demonstration Sessions, pages 105–108, Ann Arbor, June 2005. c 2005 Association for Computational Linguistics SenseClusters: Unsupervised Clustering and Labeli...
Ngày tải lên: 08/03/2014, 04:22
Báo cáo khoa học: "Hierarchical Sequential Learning for Extracting Opinions and their Attributes" ppt
... of opinion (e.g. Kim and Hovy (2005), Popescu and Etzioni (2005), Breck et al. (2007)), determining their 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 in Section 3), and another that extracts opinion ex- pressions only with the intensity attribute (using c...
Ngày tải lên: 17/03/2014, 00:20
Báo cáo khoa học: "Semantic Role Labeling: Past, Present and Future" ppt
Ngày tải lên: 23/03/2014, 17:20