More Publications (30)

1Mixture Modelbased Minimum Bayes Risk Decoding using Multiple Machine Translation Systems(Coling 2010), pages 313–321, Beijing, August 2010 Mixture Modelbased Minimum Bayes Risk Decoding using Multiple Machine...

2Topic Models for Meaning Similarity in Context2010  Georgiana Dinu,Mirella LapataMixture models This leads us to attempting a very simple mixture model, which computes the similarity score between two patterns...

3Simultaneous Ranking and Clustering of Sentences: A Reinforcement Approach to MultiDocument Summarizationdistribution of the sentence is can be considered as a mixture model over K conditional rank distributions of the terms contained...

4HMMBased Word Alignment in Statistical Translationtranslation, we first describe the conventional model (mixture model). We then present our firstorder HMM approach in lull...

5Unsupervised FeatureRich Clustering2012  Vladimir Eidelmanstraightforward extensions to the standard multinomial mixture model that allow us to effectively utilize automatically derived...

6Bridging Topic Modeling and Personalized Searchthe words in each document as being generated from a mixture model where the component models are topic word distributions...

7A Diverse Dirichlet Process Ensemble for Unsupervised Induction of Syntactic Categoriesuse the particular properties of the Dirichlet Process mixture model. We evaluate on English, German and Chinese corpora and...

8Update Summarization using a Multilevel Hierarchical Dirichlet Process Modelcorpus is modeled by an infinite Dirichlet Process (DP) mixture model, and the infinite set of mixture clusters is shared...

9Domain Adaptation for Statistical Machine Translation with Domain Dictionary and Monolingual Corporathis ropean languages. Several studies investigated mixture model adaptation for both translation model and language model...

10Sentence Ordering with EventEnriched Semantics and TwoLayered Clustering for MultiDocument News Summarizationunknown parameters in a probability mixture model. We assume a Gaussian mixture model for the q event vectors V1, V2, …,...

11DualSpace Reranking Model for Document Retrievaldocument đ generates đ¤ is estimated using a mixture model LDA. It uses a convex combination of a set of component...

12Automatic Text Categorization by Unsupervised Learning2000  Youngjoong Ko,Jungyun SeoYamanishi K. (1997) Document Classification Using a Finite Mixture Model. The Association for Co,qmtatiomtl Littguistics, ACE...

13Detecting Errors in Corpora Using Support Vector Machines2002  Tetsuji Nakagawa,Yuji Matsumotothat all the elements in a corpus are generated by a mixture model consisting of two distributions, a majority distribution...

14Efficient Dialogue Strategy to Find Users' Intended Items from Information Query ResultsTakeda and K Shikano A new phonetic tied mixture model for e cient decoding In Proc of Int l Conf on Acustics...

15A SimplificationTranslationRestoration Framework for CrossDomain SMT Applicationsindomain resources. Foster and Kuhn (2007) proposed a mixturemodel approach that divides and trains a bilingual corpus into...

16An Improved Hierarchical Bayesian Model of Language for Document Classification2008  Ben AllisonRecognition, pages 87–94. Lowe, S. 1999. The betabinomial mixture model and its application to tdt tracking and detection. In...

17Detecting Multiple Facets of an Event using GraphBased Unsupervised Methodswas the most effective measure, followed by the new mixture model measure. 3 Data We choose several news events that occurred...

18Automatic Allocation of Training Data for Rapid Prototyping of Speech Understanding based on Multiple Model Combination2010  Kazunori Komatani,Masaki Katsumaru,Mikio Nakano,Kotaro Funakoshi,Tetsuya Ogata,Hiroshi G. Okunospeech recognizer and a genderindependent phonetictied mixture model as the acoustic model (Kawahara et al., 2004). We also...

19Citation Author Topic Model in Expert SearchMassachusetts Amherst. Mei, Q. and C. Zhai. 2006. A mixture model for contextual text mining. In Proceedings of KDD2006...

20Combining Multiple Alignments to Improve Machine Translation. Duan, N., Li, M., Zhang, D., and Zhou, M. (2010). Mixture modelbased minimum bayes risk decoding using multiple machine...

21Latent Community Discovery with Network Regularization for Core Actors Clusteringcommunity discovery using hierarchical latent gaussian mixture model. In AAAI, pages 663–668. AAAI Press. Zhang, H., Qiu,...

22Tracking the Dynamic Evolution of Participants Salience in a Discussion2008  Ahmed Hassan,Anthony Fader,Michael H. Crespin,Kevin M. Quinn,Burt L. Monroe,Michael Colaresi,Dragomir R. Radevincreasing. (Quinn et al., 2006) introduce a multinomial mixture model to cluster political speeches into topics or related ...

23Negative Feedback: The Forsaken Nature Available for Reranking2009. Approximating True Relevance Distribution from a Mixture Model based on Irrelevance Data. In Proceedings of the Conference...

24Dynamic Parameters for Cross Document Coreference2010  Octavian Popescuof SemEval H. Han, W. Xu. 2005. A Hierarchical Bayes Mixture Model for Name Disambiguation in Author Citations, in Proceedings...

25YouCat: Weakly Supervised Youtube Video Categorization System from Meta Data & User Comments using WordNet & Wikipediaclassifiers such as Support Vector Machine(SVM), Gaussian Mixture Model(GMM) and Manifold Ranking (MR) for classification. Song...

26Factored Language Model based on Recurrent Neural Networka Hidden Markov Model (HMM) and a Subspace Gaussian Mixture Model (SGMM) for each contextdependent phone and train them...

27Translation QualityBased Supplementary Data Selection by Incremental Update of Translation Models451–459, Cambridge, MA. Foster, G. and Kuhn, R. (2007). Mixturemodel adaptation for SMT. In ACL 2007: Proceedings of the Second...

28Learning Effective and Interpretable Semantic Models using NonNegative Sparse Embeddingon D. Alternatively, this can also be thought of as a mixture model, with the A providing mixing proportion over the dictionary...

29Bayesian Text Segmentation for Index Term Identification and Keyphrase Extraction(55) number training example (101) dirichlet process mixture model (47) natural language processing (100) conditional random...

30Simple and Effective Parameter Tuning for Domain Adaptation of Statistical Machine Translationmodels. Finch and Sumita (2008) use a probabilistic mixture model combining two models for questions and declarative sentences...