about
P178
P185
GloVe: Global Vectors for Word RepresentationWikiWalk: random walks on Wikipedia for semantic relatednessInduced lexico-syntactic patterns improve information extraction from online medical forumsRecursive Deep Models for Semantic Compositionality Over a Sentiment TreebankA large annotated corpus for learning natural language inferenceEffective Approaches to Attention-based Neural Machine TranslationThe Stanford CoreNLP Natural Language Processing ToolkitExploring the boundaries: gene and protein identification in biomedical textCombining joint models for biomedical event extraction.Probabilistic models of language processing and acquisition.A system for identifying named entities in biomedical text: how results from two evaluations reflect on both the system and the evaluations.Advances in natural language processingSemi-supervised recursive autoencoders for predicting sentiment distributionsImproved Semantic Representations From Tree-Structured Long Short-Term Memory NetworksBetter Word Representations with Recursive Neural Networks for MorphologyImproving Word Representations via Global Context and Multiple Word PrototypesDeep Biaffine Attention for Neural Dependency ParsingA Thorough Examination of the CNN/Daily Mail Reading Comprehension TaskA parsing: fast exact Viterbi parse selectionScoring, term weighting, and the vector space modelDifferentiating language usage through topic modelsMeasuring machine translation quality as semantic equivalence: A metric based on entailment featuresMulti-word expressions in textual inferenceRobust machine translation evaluation with entailment featuresTextual entailment features for machine translation evaluationIntroduction to Information RetrievalUniversal Dependency Parsing from ScratchGet To The Point: Summarization with Pointer-Generator NetworksLeveraging Linguistic Structure For Open Domain Information ExtractionThe Stanford typed dependencies representationLearning by Abstraction: The Neural State MachineOn-the-Job Learning with Bayesian Decision TheoryGlobal Belief Recursive Neural NetworksSimple MAP Inference via Low-Rank RelaxationsLearning Distributed Representations for Structured Output PredictionReasoning With Neural Tensor Networks for Knowledge Base CompletionZero-Shot Learning Through Cross-Modal TransferConvolutional-Recursive Deep Learning for 3D Object ClassificationDynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase DetectionLog-Linear Models for Label Ranking
P50
description
Chercheur en informatique
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computer scientist
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computerlingvistiker
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informatico
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informaticus uit Australië
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informáticu teóricu australianu
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عالِم حاسوب أسترالي
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name
Christopher D. Manning
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Christopher D. Manning
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Christopher D. Manning
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Christopher D. Manning
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Christopher D. Manning
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Christopher D. Manning
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Christopher D. Manning
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type
label
Christopher D. Manning
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Chris Manning
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Chris Manning
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Chris Manning
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Christopher Manning
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Christopher Manning
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Christopher Manning
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Christopher Manning
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Christopher Manning
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Christopher Manning
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Christopher D. Manning
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