Package de.uni_trier.recap.arg_services.nlp.v1

Class NlpServiceGrpc.NlpServiceFutureStub

    • Nested Class Summary

      • Nested classes/interfaces inherited from class io.grpc.stub.AbstractStub

        io.grpc.stub.AbstractStub.StubFactory<T extends io.grpc.stub.AbstractStub<T>>

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      protected NlpServiceGrpc.NlpServiceFutureStub build​(io.grpc.Channel channel, io.grpc.CallOptions callOptions)  
      com.google.common.util.concurrent.ListenableFuture<DocBinResponse> docBin​(DocBinRequest request)
      Process strings by spacy and return them as [binary data](https://spacy.io/api/docbin).
      com.google.common.util.concurrent.ListenableFuture<SimilaritiesResponse> similarities​(SimilaritiesRequest request)
      Compute the similarity score between two strings.
      com.google.common.util.concurrent.ListenableFuture<VectorsResponse> vectors​(VectorsRequest request)
      Compute embeddings (i.e., vectors) for strings.

      • Methods inherited from class io.grpc.stub.AbstractFutureStub

        newStub, newStub

      • Methods inherited from class io.grpc.stub.AbstractStub

        getCallOptions, getChannel, withCallCredentials, withChannel, withCompression, withDeadline, withDeadlineAfter, withExecutor, withInterceptors, withMaxInboundMessageSize, withMaxOutboundMessageSize, withOption, withWaitForReady

      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • Method Detail

      • vectors

        public com.google.common.util.concurrent.ListenableFuture<VectorsResponse> vectors​(VectorsRequest request)
         Compute embeddings (i.e., vectors) for strings.

      • docBin

        public com.google.common.util.concurrent.ListenableFuture<DocBinResponse> docBin​(DocBinRequest request)
         Process strings by spacy and return them as [binary data](https://spacy.io/api/docbin).
 Locally, spacy can restore this data **without** loading the underlying NLP models into the main memory.
 Allows one to retrieve all computed attributes (e.g., POS tags, sentences), but can only be used by Python programs.