[PDF] Top 20 Weakly Supervised Semantic Parsing with Abstract Examples
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Weakly Supervised Semantic Parsing with Abstract Examples
... training examples in- cluded pairs of language utterances and programs (Zelle and Mooney, 1996; Kate et ...training examples at scale has quickly turned out to be difficult, because expert annota- tors who ... See full document
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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 ...some examples of unsupervised ... See full document
10
Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions
... CCG semantic parsing approach that learns a joint model of mean- ing and context for interpreting and executing natural language instructions, using various types of weak ... See full document
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Semi Supervised Frame Semantic Parsing for Unknown Predicates
... beled examples. Weighted edges in the graph, con- necting pairs of examples/vertices, encode the de- gree to which they are expected to have the same label (Zhu et ... See full document
10
Weakly Supervised Scene Parsing with Point-Based Distance Metric Learning
... scene parsing is suffering from the fact that pixel- level annotations are hard to be ...age semantic relationship among the annotated points by en- couraging the feature representations of the intra- and ... See full document
8
Weakly Supervised Cross lingual Semantic Relation Classification via Knowledge Distillation
... English Supervision The English training sam- ples are derived from the English Lexical-XXXL PPDB. After filtering away pairs containing non- alphabetic characters, we choose a random sam- ple as training pairs. The ... See full document
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Weakly Supervised Training of Semantic Parsers
... Our experiments use a subset of 77 relations 2 from Freebase 3 as the knowledge base and a corpus of web sentences. We constructed the sentence corpus by first sampling sentences from a web crawl and parsing them ... See full document
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Weakly Supervised Definition Extraction
... includes semantic informa- tion manually annotated such as definiendum or hy- pernym, we do not exploit any of it, which makes the seed-construction step highly flexible as it only requires the sentence ... See full document
10
StructVAE: Tree structured Latent Variable Models for Semi supervised Semantic Parsing
... Semantic Parsing Most existing works allevi- ate issues of limited parallel data through weakly- supervised learning, using the denotations of MRs as indirect supervision (Reddy et ...of ... See full document
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Weakly Supervised Neural Semantic Parsing with a Generative Ranker
... the addition of the neural lexicon encoding to the inverse parser brings performance improvements over NPR and GRANKER . We hypothesize that this is because the inverse parser adopts an unsuper- vised training objective, ... See full document
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Iterative Search for Weakly Supervised Semantic Parsing
... We introduce two innovations to improve learn- ing from denotations. Firstly, we propose an it- erative search procedure for gradually increasing the complexity of candidate logical forms for each training instance, ... See full document
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Evaluating Induced CCG Parsers on Grounded Semantic Parsing
... and weakly supervised parsers for ...and weakly supervised CCG parsers on a grounded semantic parsing task that will shed light on the extent to which these systems recover ... See full document
6
Zero Shot Semantic Parsing for Instructions
... Recently, Herzig and Berant (2017) and Su and Yan (2017) experimented with the Overnight dataset (Wang et al., 2015) in cross-domain set- tings. These papers did not experiment with zero- shot setups (i.e. training ... See full document
11
Multilingual Semantic Parsing : Parsing Multiple Languages into Semantic Representations
... same semantic information becomes increasingly available ...underlying semantic information associated with all these documents coming from different language sources ... See full document
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How Would You Say It? Eliciting Lexically Diverse Dialogue for Supervised Semantic Parsing
... Jaccard First, we experiment with a simple baseline using Jaccard Similarity which is given by J(A, B) = |A∩B| |A∪B| . For each query in the test set, we find the paraphrase in the training set which has the highest ... See full document
10
Weakly supervised learning of allomorphy
... In the realm of natural language processing, mor- phological segmentation is a well-researched and established problem (Goldsmith (2001), Creutz and Lagus (2005), Poon et al. (2009), Dreyer and Eisner (2011), Ruokolainen ... See full document
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Corpus based Semantic Lexicon Induction with Web based Corroboration
... across semantic cate- gories (Thelen and Riloff, ...several semantic classes; for ex- ample, “attack on <NP>” will extract both people (“attack on the president”) and buildings (“attack on the ...and ... See full document
9
Weakly-Supervised Hierarchical Text Classification
... We show the overall text classification results in Table 4. WeSHClass achieves the overall best performance among all the baselines on the three datasets. Notably, when the supervision source is class-related keywords, ... See full document
8
Semantic Kernels for Semantic Parsing
... it with the string “::L”, where L is the first let- ter of the POS-tags of the words, e.g., along, my and route, receive i, p and n, which are the first letters of the POS-tags IN, PRN and NN, respec- tively. SK applied ... See full document
7
Data Recombination for Neural Semantic Parsing
... in semantic parsing, making it difficult for neural models with no task-specific prior knowledge to achieve good ...mantic parsing datasets, leading to new state-of-the-art performance on the stan- ... See full document
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