[PDF] Top 20 Graph Alignment for Semi Supervised Semantic Role Labeling
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Graph Alignment for Semi Supervised Semantic Role Labeling
... There has been growing interest recently in determining the frame membership for unknown predicates. This is a challenging task, FrameNet currently lists 502 frames with example sentences which are simply too many ... See full document
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Semi Supervised Semantic Role Labeling via Structural Alignment
... in semantic role ...optimal alignment between their nodes, subject to semantic and structural ...(or alignment) between parts of the two sentences is also present in the paraphrase ... See full document
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Towards Semi Supervised Learning for Deep Semantic Role Labeling
... on Semantic Role Label- ing ...of semantic-role corpora and are thus not well suited for low- resource languages or ...a semi-supervised semantic role la- beling ... See full document
6
Semi Supervised Semantic Role Labeling: Approaching from an Unsupervised Perspective
... of semantic role labeling (SRL) methods on human-annotated data has become an active area of ...improve supervised SRL systems by producing surrogate annotated data and reducing sparsity of ... See full document
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Semi Supervised Semantic Role Labeling with Cross View Training
... mantic role labeling which forego the need for extensive feature ...via semi- supervised ...based semantic role labeler is jointly trained with a sentence learner, which performs ... See full document
10
Semi supervised Semantic Role Labeling Using the Latent Words Language Model
... on semi-supervised learning for ...from semi-supervised learning, and to Swier and Stevenson (2004), who achieved good results using semi-supervised methods, but tested their ... See full document
9
Semi supervised Entity Alignment via Joint Knowledge Embedding Model and Cross graph Model
... Some efforts have been made to integrate KGs by aligning entities with their semantically same counterparts, namely entity alignment. Early en- tity alignment approaches either rely on human efforts ... See full document
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Semi-supervised Semantic Role Labeling for Brazilian Portuguese
... Following we present results using the argument-based approach to provide the initial labeled argu- ments. There are three groups of simulations which corresponds to each value taken by η ∈ {1, 2, 3}. Table V presents ... See full document
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Semi Supervised Semantic Role Labeling
... ity model on which future assignments are based. Being unsupervised, their approach requires no manual effort other than creating the frame dic- tionary. Unfortunately, existing resources do not have exhaustive coverage ... See full document
9
A Graph Based Semi Supervised Learning for Question Semantic Labeling
... the length of i th sequence; I is the 0-1 loss function. (1) Chunking Performance: Here, we investigate the accuracy of our models on individual component prediction. We use CRF, b-matching and our RLN to learn models ... See full document
9
Improving Word Alignment by Semi Supervised Ensemble
... a semi-supervised learning method, called Tri-training, to improve the word alignment combination ...on alignment links are independent of each other (in Section ...our semi- ... See full document
9
Semi-Supervised Graph Rewiring with the Dirichlet Principle
... In our preliminary unsupervised experiments, an increase in the number of edges yields a final densified matrix with a higher number of edges than the original one. However, adding edges locally in a particular class ... See full document
7
Semantic Role Labeling for News Tweets
... Mapping may also introduce cases that violate the following two structural constraints in SRL (Meza-Ruiz and Riedel, 2009): 1) one (predi- cate, argument) pair has only one role label in one sentence; and 2) for ... See full document
9
Semi Supervised Training for Statistical Word Alignment
... The error criterion we used for all experiments is 1 − F-measure. The formula for F-measure is shown in Equation 3. (Fraser and Marcu, 2006) es- tablished that tuning the trade-off between Preci- sion and Recall in the ... See full document
8
EMDC: A Semi supervised Approach for Word Alignment
... for alignment links, which allows us to control the precision and recall rate of the resulting ...the alignment links and showed that they could get high-precision-low-recall alignments by hav- ing a higher ... See full document
9
Polyglot Semantic Role Labeling
... Ammar et al. (2016a) found that using train- ing data from multiple languages annotated with Universal Dependencies (Nivre et al., 2016), and represented using multilingual word vectors, out- performed monolingual ... See full document
6
Syntax for Semantic Role Labeling, To Be, Or Not To Be
... Our system performance is measured with the of- ficial script from CoNLL-2009 benchmarks, com- bining the output of our predicate disambigua- tion with our semantic role labeling. Our predi- cate ... See full document
11
Multilingual Semantic Role Labeling
... robust and can handle incorrect syntactic parse trees with a good level of immunity. While input parse trees in Chinese and German had a labeled syntac- tic accuracy of 78.46 (Hajiˇc et al., 2009), we could reach a ... See full document
6
Active Semi Supervised Learning for Improving Word Alignment
... an alignment link is not present in the gold stan- dard data for the source word, we introduce a NULL alignment constraint, else we select all the links as given in the gold ...mative alignment ... See full document
8
Semantic Parsing with Semi Supervised Sequential Autoencoders
... the supervised training regime consists of three folds of tuning on two maps with subsequent testing on the third map, which carries a risk of overfitting to the training ... See full document
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