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QuestionBank corpus improvements done at Stanford

(52 years ago) QuestionBank corpus improvements done at Stanford About. A traditional problem with newswire-trained statistical parsers and part-of-speech taggers is that they are not very good at parsing things like questions and imperatives which are rare in newswire.

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Stanford Topic Modeling Toolbox

(52 years ago) Generate rich Excel-compatible outputs for tracking word usage across topics, time, and other groupings of data. The Stanford Topic Modeling Toolbox was written at the Stanford NLP group by: Daniel Ramage and Evan Rosen, first released in September 2009. Programmers: See the API Reference and the source code.

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Stanford Topic Modeling Toolbox

(52 years ago) Version 0.4.0. The Stanford Topic Modeling Toolbox (TMT) brings topic modeling tools to social scientists and others who wish to perform analysis on datasets that have a substantial textual component. The toolbox features that ability to: Import and manipulate text from cells in Excel and other spreadsheets.

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edu.stanford.nlp.tmt.data.Dataset

(52 years ago) A Dataset is a collection of Items with a function that can return a unique identifier for each item.

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Welcome to nginx!

(52 years ago) (case class) SharedKTopicsPerLabel edu.stanford.nlp.tmt.model.pldp. (class) IntExpandArray (object) (class) PLDP (object) TrainPLDP; edu.stanford.nlp.tmt.stage ...

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Welcome to nginx!

(52 years ago) Welcome to nginx! If you see this page, the nginx web server is successfully installed and working. Further configuration is required. For online documentation and support please refer to nginx.org. Commercial support is available at nginx.com. Thank you for using nginx.

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Stanford Text2Scene Spatial Learning Dataset

(52 years ago) Here we provide various datasets used for the Text to Scene Generation projects.. Stanford Text2Scene Spatial Learning Dataset This is the dataset associated with the paper Learning Spatial Knowledge for Text to 3D Scene Generation.

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Stanford Topic Modeling Toolbox 0.3.3 API

(52 years ago) GibbsInfer; (case class) GibbsInferParams (trait) LocalUpdateModelCompanion

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edu.stanford.nlp.tmt.TMTVersion

(52 years ago) Version information about the current TMT release with code to check for updates.

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edu.stanford.nlp.tmt.learn.Modeler

(52 years ago) A Modeler holds a model and a set of data items, allowing certain operations to be performed in aggregate on that data.

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edu.stanford.nlp.tmt.data.MultiLabelDataset

(52 years ago) def asLabels (labelIndex: Index[Label] = this.labelIndex.get): Iterable[Array[Int]] A view of this dataset as an Iterable of Labels. def clone (): AnyRef. Attributes. protected [ lang] Definition Classes. AnyRef.

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edu.stanford.nlp.tmt.data.Dataset

(52 years ago) Attributes final Definition Classes AnyRef → Any. def == (arg0: AnyRef): Boolean. Attributes final Definition Classes AnyRef

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edu.stanford.nlp.tmt.model.AsymmetricDirichletParams

(52 years ago) Attributes implicit Definition Classes TypedCompanion1 → TypedCompanion. def synchronized [T0] (arg0: ⇒ T0): T0. Attributes final Definition Classes AnyRef

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edu.stanford.nlp.tmt.model.llda.LabeledLDADocument

(52 years ago) Labeled LDA documents contain a set of word observations, a set of labels, and a distribution over model labels.

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edu.stanford.nlp.tmt.learn.Stateful

(52 years ago) Gets the current state of this object. Attributes abstract . def state_= (state: State): Unit. Sets the current state of this object.

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edu.stanford.nlp.tmt.model.lda.CVB0LDA

(52 years ago) CVB0 learning and inference model for vanilla LDA. This algorithm is like the collapsed Gibbs sampler implemented in GibbsLDA except that instead of sampling a hard topic assignment for each z as it iterates through the data, the model keeps the soft assignment distribution.

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edu.stanford.nlp.tmt.data.Dataset

(52 years ago) This method is used to cast the receiver object to be of type T0.. Note that the success of a cast at runtime is modulo Scala's erasure semantics. Therefore the expression1.asInstanceOf[String] will throw a ClassCastException at runtime, while the expressionList(1).asInstanceOf[List[String]] will not. In the latter example, because the type argument is erased as part of compilation it is not ...

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edu.stanford.nlp.tmt.model.plda.CVB0PLDA

(52 years ago) Does one iteration of learning on the given data, updating ModelState and each Datum's DatumState as appropriate.

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edu.stanford.nlp.tmt.model.ClosedTopicSet

(52 years ago) Returns the distribution over terms for the given topic. The return value of this method is assumed to have already incorporated the corresponding getTermSmoothing to the appropriate extent.

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edu.stanford.nlp.tmt.TMTHub

(52 years ago) Sets up the listener service to exit this client program on request from the hub if scalanlp.distributed.Id is non-null.

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edu.stanford.nlp.tmt.model.TopicModelCompanion

(52 years ago) This method is used to test whether the argument ( arg0) is a reference to the receiver object ( this ). arg0. the object to compare against this object for reference equality. returns. true if the argument is a reference to the receiver object; false otherwise. attributes: final. definition classes: AnyRef.

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edu.stanford.nlp.tmt.model.pldp.TrainPLDP

(52 years ago) Trains a PLDP model, writing the model output to the given output folder. If the output folder already exists, this method looks to see if it is a compatible model whose training can be continued.

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edu.stanford.nlp.tmt.model.SymmetricDirichletParams

(52 years ago) A fixed-value (symmetric) dirichlet distribution, corresponding to add psuedocount smoothing. Linear Supertypes. Serializable, Serializable, Product, Equals ...

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edu.stanford.nlp.tmt.model.DirichletTermSmoothing

(52 years ago) Add-k prior counts for each term (eta in the model formulation).

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edu.stanford.nlp.tmt.model.llda.LabeledLDAModelParams

(52 years ago) Attributes final Definition Classes AnyRef → Any. def == (arg0: AnyRef): Boolean. Attributes final Definition Classes AnyRef

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edu.stanford.nlp.tmt.learn.Train

(52 years ago) This method is used to cast the receiver object to be of type T0.. Note that the success of a cast at runtime is modulo Scala's erasure semantics. Therefore the expression1.asInstanceOf[String] will throw a ClassCastException at runtime, while the expressionList(1).asInstanceOf[List[String]] will not. In the latter example, because the type argument is erased as part of compilation it is not ...

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edu.stanford.nlp.tmt.learn.ShardedException

(52 years ago) Attributes final Definition Classes AnyRef → Any. def == (arg0: AnyRef): Boolean. Attributes final Definition Classes AnyRef

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edu.stanford.nlp.tmt.model.llda.GibbsLabeledLDADocument

(52 years ago) Attributes final Definition Classes AnyRef → Any. def == (arg0: AnyRef): Boolean. Attributes final Definition Classes AnyRef

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