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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 14 of 14 1 Designing an Exploratory Text Analysis Tool for Humanities and Social Sciences Research Shrikumar, Aditi. - : eScholarship, University of California, 2013 BASE Show details 2 Hierarchical semantic structures for medical NLP. Taira, Ricky K; Arnold, Corey W. - : eScholarship, University of California, 2013 BASE Show details 3 The Quality Of Massive Open Online Collaboration ... Ferschke, Oliver. - : Zenodo, 2013 BASE Show details 4 Query Segmentation For E-Commerce Sites Gong, Xiaojing. - 2013 Abstract: Indiana University-Purdue University Indianapolis (IUPUI) ; Query segmentation module is an integral part of Natural Language Processing which analyzes users' query and divides them into separate phrases. Published works on the query segmentation focus on the web search using Google n-gram frequencies corpus or text retrieval from relational databases. However, this module is also useful in the domain of E-Commerce for product search. In this thesis, we will discuss query segmentation in the context of the E-Commerce area. We propose a hybrid unsupervised segmentation methodology which is based on prefix tree, mutual information and relative frequency count to compute the score of query pairs and involve Wikipedia for new words recognition. Furthermore, we use two unique E-Commerce evaluation methods to quantify the accuracy of our query segmentation method. Keyword: Computational linguistics; E-Commerce; Electronic commerce -- Computer programs; Information storage and retrieval systems; Natural language processing (Computer science); Pattern recognition systems; prefix tree; Query languages (Computer science); Query Segmentation; unsupervised segmentation URL: https://doi.org/10.7912/C2/2296 https://hdl.handle.net/1805/3364 BASE Hide details 5 Multilingual Question Answering over Linked Data: QALD-3 Dataset ... Unger, Christina. - : Bielefeld University, 2013 BASE Show details 6 Natural language processing methods for attitudinal near-synonymy Gardiner, Mary E. - : Sydney, Australia : Macquarie University, 2013 BASE Show details 7 Compositionality through Projection Leventeas, Dimitrios. - : Eidgenössische Technische Hochschule Zürich, Department of Computer Science, 2013 BASE Show details 8 Answering confucius: The reason why we complicate ... Pereira Nunes, Bernardo; Pedrosa, Stella; Kawase, Ricardo. - : Heidelberg : Springer Verlag, 2013 BASE Show details 9 Chinese Treebank 7.0 Xue, Nianwen; Jiang, Zixin; Zhong, Xiuhong... In: broadcast conversation, broadcast news, news magazine, newswire, web collection (2013) BASE Show details 10 Explaining unintelligible words by means of their context Pintér, B; Vörös, G; Szabo, Z... In: In: (Proceedings) International Conference on Pattern Recognition Applications and Methods (ICPRAM). (pp. 382 - 387). (2013) (2013) BASE Show details 11 The semantics of role labeling Srikumar, Vivek. - 2013 BASE Show details 12 Using the visual denotations of image captions for semantic inference Young, Peter. - 2013 BASE Show details 13 Grounded language learning models for ambiguous supervision Kim, Joo Hyun, active 2013. - 2013 BASE Show details 14 SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Embodiment Challenge Dzikovska, Myroslava O.; Nielsen, Rodney D.; Brew, Chris... In: Seventh International Workshop on Semantic Evaluation, June 14-15, 2013. Atlanta, Georgia. (2013) BASE Show details

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