[PDF] Top 20 How Much Can We Gain from Supervised Word Alignment?
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How Much Can We Gain from Supervised Word Alignment?
... Word alignment is a central problem in sta- tistical machine translation ...years, supervised alignment algo- rithms, which improve alignment accuracy by mimicking human ... See full document
5
Active Learning Based Elicitation for Semi Supervised Word Alignment
... the word alignment models after elic- iting every individual alignment link is ...batch. We therefore sample links as a discrete batch, and train alignment models to report performance ... 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 ...learning ... See full document
8
Improving Word Alignment by Semi Supervised Ensemble
... paper, we introduce a semi-supervised learning method, called Tri-training, to improve the word alignment combination ...As we previously assume that all the decisions on ... See full document
9
How Well Can We Predict Hypernyms from Word Embeddings? A Dataset Centric Analysis
... of word embeddings currently under study is their capacity to encode ...used supervised models to recover hyper- nymy structures from ...embeddings. How- ever, the overall results do not ... See full document
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A Semi Supervised Word Alignment Algorithm with Partial Manual Alignments
... partial alignment links as features in discriminative aligners? There are three possible ...information can propagate over the whole corpus through bet- ter estimation of model ...if we use the ... See full document
10
EMDC: A Semi supervised Approach for Word Alignment
... center alignment, we need to collect counts from neighbor alignments so that the M-step can normalize the counts to produce the model parameters for the next ...stage, we want to make ... See full document
9
What can we gain from language models for morphological inflection?
... output word is less prone to depend from multiple input symbols, than a translated word from multiple source ...source word from left to right in order to generate the inflected ... See full document
6
Opinion Word and Opinion Target Extraction using Semi-Supervised Word Alignment Model
... semi-supervised word alignment is proposed. The opinion word and target is regarded as a candidate, then a confidence is assigned and candidates with higher confidence greater than a threshold ... See full document
5
Opinion mining from online reviews using opinion and semantic relations
... (OW), we use alignment-based method along with graph based co-ranking to extract OT and ...relations, we use word alignment model (WAM) [4]. Opinion modifier can find its ... See full document
9
Accurate Unsupervised Joint Named Entity Extraction from Unaligned Parallel Text
... contextual, word-shape and alignment ...un- supervised and supervised methods increases the accuracy to F = ...0.88. We conclude that we have found a viable new strategy for ... See full document
9
Semi supervised Word Alignment with Mechanical Turk
... they can accept the ...too much, so there is less incentives for workers to submit random ...mind, we put together several elements into the ... See full document
5
Semi Supervised Training for Statistical Word Alignment
... a supervised fashion using the labeled data, and this supervised model is used to attach labels (or a probability dis- tribution over labels) to the unlabeled data, then a new supervised model is ... See full document
8
How much heat can we grow in our cities? Modelling UK urban biofuel production potential
... values from local residents and users, consider entire supply chains and life cycles of operations (Strohbach, Arnold, & Haase, 2012) and balance trade‐offs and syner- gies between different ecosystem services ... See full document
16
Integration of microarray analysis into the clinical diagnosis of hematological malignancies: How much can we improve cytogenetic testing?
... origin from five cases (CP-8, CP-21, CP-23, K-1, and K-3), five rearrangements Figure 8: Combined results of G-banding, FISH, and microarray studies enable more accurate characterization of chromosomal aberrations ... See full document
18
How much can we identify from repeated games?
... on how agents can manage to cooperate in a non-cooperative environment without formal or explicit contracts, and how to build a ...payoff can be sustained as an equilibrium ... See full document
25
How much randomness can be extracted from memoryless Shannon entropy sources?
... Almost-Equivalence for Stateless Sources. A stateless source (called also memoryless) is a source which produces consecutive samples independently. While this is a restriction, it is often assumed by practitioners ... See full document
8
How much longer can we afford the free school debacle? State sponsored Neoliberalism and the myths of choice
... There is also a considerable amount of research strongly indicating the free/charter school model increases social segregation which further feeds inequality. The Civil Right Project (2010), in a massive 40 state study, ... See full document
12
Parsing German: How Much Morphology Do We Need?
... but we think that it is important to evaluate POS tagging on its own, especially since it is not always the case that a larger label set automatically results in a more difficult ...STTS, we reach a lower ... See full document
14
How can we anticipate crises?
... is how a healthy banking system should work. We are talking about the 100% reserve system to which urges the Austrian School and which has long been ...rate. How is this thing possible? We ... See full document
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