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Unsupervised Learning of Narrative Event Chains docx

Unsupervised Learning of Narrative Event Chains docx

Unsupervised Learning of Narrative Event Chains docx

... learn events that consti-tute narrative chains. Formally, a narrative chainis a partially ordered set of narrative events thatshare a common actor. A narrative event is a tu-ple of an event ... called narrative event chains (or narrative chains) . Narrative chains are partially or-dered sets of events centered around a common pro-tagonist. They are related to structured sequences of participants ... actor in this study, a narrative event is thus a tuple of the event and thetyped dependency of the protagonist: (event, depen-dency). A narrative chain is a set of narrative events{e1, e2,...
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Báo cáo khoa học: "Unsupervised Learning of Narrative Event Chains" pptx

... learn events that consti-tute narrative chains. Formally, a narrative chainis a partially ordered set of narrative events thatshare a common actor. A narrative event is a tu-ple of an event ... called narrative event chains (or narrative chains) . Narrative chains are partially or-dered sets of events centered around a common pro-tagonist. They are related to structured sequences of participants ... actor in this study, a narrative event is thus a tuple of the event and thetyped dependency of the protagonist: (event, depen-dency). A narrative chain is a set of narrative events{e1, e2,...
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Báo cáo khoa học: "Unsupervised Learning of Narrative Schemas and their Participants" potx

... mutually inform each other througha narrative schema model.2.1 Narrative Event Chains Narrative Event Chains are partially ordered sets of events that all involve the same shared par-ticipant, the ... build schemas from the set of events as opposed to the set of event slots thatprevious work on narrative chains used. In Cham-bers and Jurafsky (2008), narrative chains add thebest e, d ... influencing event slot similarity scores. We will use this definitionin the next section to build Narrative Schemas.3.4 Narrative Schema: Multiple Chains Whereas a narrative chain is a set of event...
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Báo cáo khoa học: "Unsupervised Learning of Acoustic Sub-word Units" pot

... Franceemmanuel.dupoux@gmail.comAbstractAccurate unsupervised learning of phonemes of a language directly from speech is demon-strated via an algorithm for joint unsupervised learning of the topology and parameters of a hidden ... Proceedings of ACL-08: HLT, Short Papers (Companion Volume), pages 165–168,Columbus, Ohio, USA, June 2008.c2008 Association for Computational Linguistics Unsupervised Learning of Acoustic ... im-provement in the efficacy of the SSS algorithm asdescribed in Section 2. It is based on observingthat the improvement in the goodness of fit by upto two consecutive splits of any of the current HMMstates...
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Báo cáo khoa học: "A Bootstrapping Approach to Unsupervised Detection of Cue Phrase Variants" docx

... research aim of apaper, or a claimed gap in the literature. Similarly,in the task of automatic routing of customer emailsand automatic answering of some of these, the de-tection of threats of legal ... number of seed combinations, M is the size of the goldenlist, giis the ith member of the golden list and rijis its rankin the retrieved list of combination j while nijis the number of golden ... reimple-mentation of Ravichandran and Hovy’s (2002)paraphrase learning. The seed words were of theform {goal-verb, goal-noun}, and we submittedeach of the 4 combinations of the seed pair toGoogle...
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Báo cáo khoa học: "Unsupervised Learning of Arabic Stemming using a Parallel Corpus" pot

... indicates animprovement of 22-38% in average pre-cision over unstemmed text, and 96% of the performance of the proprietary stem-mer above.1 IntroductionStemming is the process of normalizing word ... drawbacksthat prevent us from using it on a corpus other thanthe training corpus. Both of the drawbacks beloware brought about by the small size of the parallelcorpus:• Out -of- vocabulary words: ... two examples use the joint probability of the prefix and suffix, with a smoothing back-off(the product of the individual probabilities). Scor-ing models of this form proved to be poor perform-ers...
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Báo cáo khoa học: "Unsupervised Learning of Dependency Structure for Language Modeling" potx

... Unsupervised Learning of Dependency Structure for Language Modeling Jianfeng Gao Microsoft Research, Asia 49 Zhichun Road, Haidian District Beijing 100080 China jfgao@microsoft.com ... the number of pa-rameters of the combined model manageable. To overcome the second obstacle, we used an unsu-pervised learning method that discovers the de-pendency structure of a given sentence ... the elements of the DLM that assign probability to each possible W and its most probable D, P(W, D). Fi-nally, we present an EM-like iterative method for unsupervised learning of dependency...
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Báo cáo khoa học: "Unsupervised Learning of Semantic Relation Composition" ppt

... described. Axioms take as their premises chains of two relations and output a new relationlinking the ends of the chain. This adds an extralayer of semantics on top of previously extracted re-1456Primitive ... Implicational The existence of x implies the existence of y op. -11: Weakly Implicational The existence of x sometimes implies the existence of y op. -Table 1: List of semantic primitives. In ... (1988)combines a set of nine fairly specific relations (e.g.,FOCUS -OF, PRODUCT -OF, SETTING -OF) . The keyto determine plausibility is the transitivity charac-teristic of the aspects: two relations...
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Báo cáo khoa học: "Unsupervised Learning of Field Segmentation Models for Information Extraction" pot

... consists of de-scriptions of attributes of an item or offer, and a set of ads for similar items share the same attributes. Inthese cases, the fields present a salient, intrinsic form of linguistic ... tasks, theuse of unsupervised learning methods is difficult andunlikely to be fully successful, in part because thenuggets of interest are determined only extrinsicallyby the needs of the user ... Proceedings of the 43rd Annual Meeting of the ACL, pages 371–378,Ann Arbor, June 2005.c2005 Association for Computational Linguistics Unsupervised Learning of Field Segmentation...
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Báo cáo khoa học: "Global Learning of Focused Entailment Graphs" docx

... acquisition of entailment relations. In Proceedings of EMNLP.Jason Van Hulse, Taghi Khoshgoftaar, and AmriNapolitano. 2007. Experimental perspectives on learning from imbalanced data. In Proceedings of ICML.Frank ... at each step the set of hyponyms that maximize the probability of the ev-idence while respecting the transitivity constraint.In this paper we tackle a similar problem of learning a transitive ... compactview of the underlying content. A simple form of structural presentation is by a single hierarchy, e.g.(Hofmann, 1999). A more complex approach ishierarchical faceted metadata, where a number of concept...
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