Recursive Autoencoders for Paraphrase Detection (Socher et al)Feynman Liang
1) The document presents an approach called unfolding recursive autoencoders (RAEs) to detect paraphrases between sentences.
2) RAEs learn vector representations of phrases and sentences by reconstructing parse trees, and an unfolding approach is introduced to better capture the meaning of longer phrases.
3) A dynamic pooling layer is used to create fixed-size similarity matrices for variable length sentences to classify as paraphrases or not.
4) Experimental results on a paraphrase detection dataset show the unfolding RAE with dynamic pooling achieves state-of-the-art performance at the time in 2011.
El Informe Final de la Comisión de la Verdad y Reconciliación fue presentado al Presidente de la República, Presidente del Congreso Nacional y Presidente de la Corte Suprema el 28 de agosto de 2003. El teniente general FAP (r) Luis Arias Graziani suscribió el informe con reservas, explicadas en una carta incluida en el informe final. El informe fue publicado por primera vez en noviembre de 2003 con 1000 copias.
Recursive Autoencoders for Paraphrase Detection (Socher et al)Feynman Liang
1) The document presents an approach called unfolding recursive autoencoders (RAEs) to detect paraphrases between sentences.
2) RAEs learn vector representations of phrases and sentences by reconstructing parse trees, and an unfolding approach is introduced to better capture the meaning of longer phrases.
3) A dynamic pooling layer is used to create fixed-size similarity matrices for variable length sentences to classify as paraphrases or not.
4) Experimental results on a paraphrase detection dataset show the unfolding RAE with dynamic pooling achieves state-of-the-art performance at the time in 2011.
El Informe Final de la Comisión de la Verdad y Reconciliación fue presentado al Presidente de la República, Presidente del Congreso Nacional y Presidente de la Corte Suprema el 28 de agosto de 2003. El teniente general FAP (r) Luis Arias Graziani suscribió el informe con reservas, explicadas en una carta incluida en el informe final. El informe fue publicado por primera vez en noviembre de 2003 con 1000 copias.
A LOV2 Domain-Based Optogenetic Tool to Control Protein Degradation and Cellu...Feynman Liang
The document describes the development of a photosensitive degron (psd) module that allows for light-activated and reversible protein degradation. The psd module is based on a light-oxygen-voltage (LOV) domain from plants and a degradation domain. Testing showed that the psd module enables specific, cryptic, quantitative, and reversible degradation of target proteins in yeast cells. The technique was applied to control the yeast cell cycle and conditionally degrade various yeast genes. Compartmentalized modeling supported the experimental findings.
Integrated Genomic and Proteomic Analyses of a Systematically Perturbed Metab...Feynman Liang
The document summarizes a study that systematically perturbed the galactose metabolic pathway in yeast through genetic and environmental modifications. It integrated observations from the perturbations with an initial pathway model and a global interaction network to formulate new hypotheses. Gene and protein expression profiles were analyzed through clustering and compared to predicted responses to refine the pathway model and interaction network.
A Unifying Review of Gaussian Linear Models (Roweis 1999)Feynman Liang
Through a linear Gaussian process, we can unify a family of Gaussian linear models including Factor Analysis, PCA, Kalman Filters, Mixture of Gaussians, and Hidden Markov Models.
Engineered histone acetylation using DNA-binding domains (DBD), chemical ind...Feynman Liang
Feynman Liang proposes engineering histone acetylation using DNA-binding domains, chemical inducers of dimerization, and histone acetyltransferases. He will construct a DNA-binding domain that mimics CLOCK:BMAL1, recruit a histone acetyltransferase using chemical inducers of dimerization, and toggle histone acetylation to disrupt circadian rhythms at the epigenetic level in mouse cell cultures. This modular method could specifically modify the histone code by recruiting histone modifiers to targeted DNA sequences.
ACL2014読み会@小町研 “Identifying Real-Life Complex Task Names with Task-Intrinsic ...Yuki Tomo
“Identifying Real-Life Complex Task Names with Task-Intrinsic Entities from Microblogs”
Ting-Xuan Wang* and Kun-Yu Tsai and Wen-Hsiang Lu
ACL2014読み会@小町研 8/1
The document introduces autoencoders, which are neural networks that compress an input into a lower-dimensional code and then reconstruct the output from that code. It discusses that autoencoders can be trained using an unsupervised pre-training method called restricted Boltzmann machines to minimize the reconstruction error. Autoencoders can be used for dimensionality reduction, document retrieval by compressing documents into codes, and data visualization by compressing high-dimensional data points into 2D for plotting with different categories colored separately.
A LOV2 Domain-Based Optogenetic Tool to Control Protein Degradation and Cellu...Feynman Liang
The document describes the development of a photosensitive degron (psd) module that allows for light-activated and reversible protein degradation. The psd module is based on a light-oxygen-voltage (LOV) domain from plants and a degradation domain. Testing showed that the psd module enables specific, cryptic, quantitative, and reversible degradation of target proteins in yeast cells. The technique was applied to control the yeast cell cycle and conditionally degrade various yeast genes. Compartmentalized modeling supported the experimental findings.
Integrated Genomic and Proteomic Analyses of a Systematically Perturbed Metab...Feynman Liang
The document summarizes a study that systematically perturbed the galactose metabolic pathway in yeast through genetic and environmental modifications. It integrated observations from the perturbations with an initial pathway model and a global interaction network to formulate new hypotheses. Gene and protein expression profiles were analyzed through clustering and compared to predicted responses to refine the pathway model and interaction network.
A Unifying Review of Gaussian Linear Models (Roweis 1999)Feynman Liang
Through a linear Gaussian process, we can unify a family of Gaussian linear models including Factor Analysis, PCA, Kalman Filters, Mixture of Gaussians, and Hidden Markov Models.
Engineered histone acetylation using DNA-binding domains (DBD), chemical ind...Feynman Liang
Feynman Liang proposes engineering histone acetylation using DNA-binding domains, chemical inducers of dimerization, and histone acetyltransferases. He will construct a DNA-binding domain that mimics CLOCK:BMAL1, recruit a histone acetyltransferase using chemical inducers of dimerization, and toggle histone acetylation to disrupt circadian rhythms at the epigenetic level in mouse cell cultures. This modular method could specifically modify the histone code by recruiting histone modifiers to targeted DNA sequences.
ACL2014読み会@小町研 “Identifying Real-Life Complex Task Names with Task-Intrinsic ...Yuki Tomo
“Identifying Real-Life Complex Task Names with Task-Intrinsic Entities from Microblogs”
Ting-Xuan Wang* and Kun-Yu Tsai and Wen-Hsiang Lu
ACL2014読み会@小町研 8/1
The document introduces autoencoders, which are neural networks that compress an input into a lower-dimensional code and then reconstruct the output from that code. It discusses that autoencoders can be trained using an unsupervised pre-training method called restricted Boltzmann machines to minimize the reconstruction error. Autoencoders can be used for dimensionality reduction, document retrieval by compressing documents into codes, and data visualization by compressing high-dimensional data points into 2D for plotting with different categories colored separately.
1. Estimating Conversion Rate in
Display Advertising from Past
Performance Data
Kuang-chih Lee, Burkay Orten, Ali Dasdan, Wentong Li
Turn Inc., Redwood City, CA, USA
(KDD 2012)
05/02 2013
D2 大知 正直＠東大 松尾研
1
