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Experts

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Publications (19)

1Modeling LatentDynamic in Shallow Parsing: A Latent Conditional Model with Imrpoved Inferencealgorithm, which is able to produce the most probable label sequence on latent conditional models. It outperforms two existing...

2Harnessing the CRF Complexity with DomainSpecific Constraints. The Case of Morphosyntactic Tagging of a Highly Inflected Language2012  Jakub Waszczukmethods of inference using CCRFs: finding the most probable label sequence given the sentence and assigning marginal probabilities...

3Chinese Segmentation and New Word Detection using Conditional Random Fields...} defines a conditional probability for a state (label) sequence y = y1...yT (for example, labels indicating where words...

4Training Conditional Random Fields Using Incomplete Annotationsdenote a map from a pair of an observed sequence x and a label sequence y to an arbitrary feature vector of d dimensions, and...

5A Comparison of Models for CostSensitive Active Learning2010  Katrin Tomanek,Udo Hahnbased on the confidence of a CRF model θ in the predicted label sequence ~y∗ which is given by the probability distribution Pθ(~y∗~x)...

6Learning to Model DomainSpecific Utterance Sequences for Extractive Summarization of Contact Center Dialogues2010  Ryuichiro Higashinaka,Yasuhiro Minami,Hitoshi Nishikawa,Kohji Dohsaka,Toyomi Meguro,Satoshi Takahashi,Genichiro KikuiViterbi decoding is <1,4,5,6,3,2>, we obtain a class label sequence <1,2,0,0,2,1> where the third and fourth utterances are...

7Classifying WhatType Questions by Head Noun Taggingneighbors in G . The joint distribution over the label sequence Y given X has the form 1 ( ) exp ( ) ( ) ( ) i...

8A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Unannotated Corpusof kernel methods with the idea of HMMs to predict a label sequence given an input sequence. However, HMSVMs require full...

9A Comparison and Improvement of Online Learning Algorithms for Sequence Labeling2012  Zhengyan He,Houfeng Wangsequence x = {x1, x2, . . . , xn}, output its corresponding label sequence y = {y1, y2, . . . , yn}, one label for each x i . The...

10Are MorphoSyntactic Features More Predictive for the Resolution of Noun Phrase Coordination Ambiguity than LexicoSemantic Similarity Scores?2008  Ekaterina Buyko,Udo Hahnthe res WN baseline features correlate with the correct label sequence for only 1,117 coordinations (41.5%) of the complete...