Ranking Model
Enhanced Ranking Model
... a ranking model worked for a wide range search with the end goal of utilizing an area particular ranking ...range ranking model straight away to various regions because of contrasts in ...
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Query Weighting for Ranking Model Adaptation
... in ranking model adaptation. As the learning object of ranking algorithms is divided by query instances, we argue that it’s more reasonable to conduct importance weighting at query level than ...
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Unsupervised Ranking Model for Entity Coreference Resolution
... Coreference resolution is one of the first stages in deep language understanding and its impor- tance has been well recognized in the natu- ral language processing community. In this paper, we propose a generative, ...
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A Mention Ranking Model for Abstract Anaphora Resolution
... coreference model proposed in Clark and Manning (2015), and their improved model in Clark and Manning (2016a), which integrates a loss function (Wiseman et ...
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A relevance focused search application for personalised ranking model
... Abstract. The assumption that users' profiles can be exploited by employing their implicit feedback for query expansion through a conceptual search to index documents has been proven in previous research. Several ...
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Multi-Order Attentive Ranking Model for Sequential Recommendation
... Attentive Ranking model (MARank) towards top-N sequential recommenda- ...a model with the com- bination of attention network and residual network to repre- sent item set X ...
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Neural Utterance Ranking Model for Conversational Dialogue Systems
... a model based on the vec- tor space model (Banchs and Li, 2012) and Nio et ...NUR model can select responses while also taking into account a flexible set of ...
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Dual Space Re ranking Model for Document Retrieval
... Another well-known approach to the latent model is the LSI method. It is based on SVD, a technique from linear algebra. This method has not been reported anywhere previously for re- ranking purposes. It has ...
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Efficient Hybrid Usage Based Ranking Model
... different ranking algorithms in order to design an effective hybrid ranking approach that uses a combination of content based, link based and usage based ranking algorithms such that it meets user ...
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Dual Space Re ranking Model for Document Retrieval
... the ranking process to improve perform- ance in comparison to standard bag-of- words based ...conceptual model has been adopted in general- purpose retrieval which can comprise a range of concepts, ...
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A Neural Probabilistic Structured Prediction Model for Transition Based Dependency Parsing
... With this ranking model, beam search and early-update are used. Given a training instance, the negative example is the incorrectly predicted output with largest score (Zhang and Nivre, 2011). However, we ...
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Model Adaptation via Model Interpolation and Boosting for Web Search Ranking
... of model adaptation methods for Web search ranking: Model Interpolation approaches and error-driven learning ...In model interpolation approaches, the adaptation data is used to derive a ...
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An Approach to Text Summarization
... involves ranking the text in the individual coherent chunks and pick- ing the sentences that rank above a given ...text ranking approach is based on a graph theoretic ranking model applied to ...
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Addressing the Winograd Schema Challenge as a Sequence Ranking Task
... sequence ranking problem and designed a Siamese neural network model that (i) computes full-fledged sentence interpretations as they would emerge from from resolving the pronominal anaphor to one or the ...
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Latent Structures for Coreference Resolution
... Rahman and Ng (2011) consider a series of mod- els with increasing expressiveness, ranging from a mention pair to a cluster-ranking model. However, they do not develop a unified framework for compar- ing ...
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PostAc : A Visual Interactive Search, Exploration, and Analysis Platform for PhD Intensive Job Postings
... In addition to our major objective of revealing those jobs most likely to require PhD skills, in practice we needed to provide users with similar job postings to assist them in comparing how the recommended ones can fit ...
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Text Assisted Insight Ranking Using Context-Aware Memory Network
... However, ranking the importance of insights remains a challenging and unexplored ...insight ranking problem. In this paper, we propose an insight ranking model that consists of two parts: A ...
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A Joint Information Model for N Best Ranking
... In this paper, we present a method for modeling joint information when gene- rating n-best lists. We apply the method to a novel task of characterizing the simi- larity of a group of terms where only a small set of many ...
8
Identifying Manipulated Offerings on Review Portals
... topic model and the manifold ranking ...topic model; Table 4 gives the highest and lowest ranking term weights in our three-layer man- ifold ...manifold model, ...manifold model, ...
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Global Ranking via Data Fusion
... Global ranking, a new information re- trieval (IR) technology, uses a ranking model for cases in which there exist re- lationships between the objects to be ...the ranking task, the ...
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