sentence pairs
Assessing the relative reading level of sentence pairs for text simplification
... simple sentence is simpler than its hard version, but could actually be simplified further – and as such may still be harder than another un- simplified ...the sentence pairs into a global ...
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Creating a Research Collection of Question Answer Sentence Pairs with Amazon’s Mechanical Turk
... Question-Answer Sentence Pairs (QASP) corpus introduced in this paper contains the identified answer ...answer sentence by either syntactic or semantic means is a central ...
5
Modelling Sentence Pairs with Tree structured Attentive Encoder
... We describe an attentive encoder that combines tree-structured recursive neural networks and se- quential recurrent neural networks for modelling sentence pairs. Since existing attentive models exert ...
11
ABCNN: Attention Based Convolutional Neural Network for Modeling Sentence Pairs
... other sentence; or (iii) re- lies fully on manually designed, task-specific linguistic ...each sentence takes into con- sideration its ...dent sentence pair representations are more powerful than ...
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Answer Sentence Retrieval by Matching Dependency Paths acquired from Question/Answer Sentence Pairs
... candidate sentence are considered. Then those paths in the answer sentence that are connected to an answer candidate are compared against the corresponding paths in the question, in a similar fashion as in ...
11
Multiple Linear Regression for Extracting Phrase Translation Pairs
... translation pairs are very useful for bilingual lexicography, machine translation system, cross- lingual information retrieval and many applications in natural language ...translation pairs are always ...
8
Paraphrase Recognition via Dissimilarity Significance Classification
... given sentence set, and if the similarity exceeds a threshold (either empirically determined or learned from supervised training data), the sentences are ...represented sentence pairs as a feature ...
9
To Attend or not to Attend: A Case Study on Syntactic Structures for Semantic Relatedness
... With the recent success of Recurrent Neu- ral Networks (RNNs) in Machine Trans- lation (MT), attention mechanisms have become increasingly popular. The pur- pose of this paper is two-fold; firstly, we propose a novel ...
10
UKP Athene: Multi Sentence Textual Entailment for Claim Verification
... Originally developed for the SNLI task (Bow- man et al., 2015) of determining entailment be- tween two statements, the ESIM (Enhanced Se- quential Inference Model) (Chen et al., 2016) cre- ates a rich representation of ...
6
Machine Translation With Weakly Paired Documents
... bilingual sentence pairs from document pairs which can then be used as supervised training ...the sentence translation model by constrain- ing the word distribution-level ...
10
Sentence Alignment of Historical Classics based on Mode Prediction and Term Translation Pairs
... the sentence length between his- torical classics and its English translation is not ...using sentence length alone does not have good ...translation pairs ex- tracted from the sentence ...
5
The FBK Participation in the WMT15 Automatic Post editing Shared Task
... parallel sentence pairs from the training data containing the source phrase in the machine translated sentence of the pair and target phrase in the post-edited sentence are retrieved along ...
6
Bidirectional Generative Adversarial Networks for Neural Machine Translation
... of sentence pairs, with the difference that, the generator decomposes the joint prob- ability with a source language model and a source-to-target translation model, while the discriminator is formulated as ...
10
Investigating Connectivity and Consistency Criteria for Phrase Pair Extraction in Statistical Machine Translation
... word-aligned sentence pairs. It can be shown that phrase pairs of interest to SMT form a sigma-algebra generated by components of such ...mented sentence pairs, which in turn gives rise ...
9
Unsupervised Extraction of Partial Translations for Neural Machine Translation
... extracting sentence pairs from monolingual ...accurate sentence pairs (Abdul Rauf and Schwenk, ...extract sentence pairs from completely unrelated monolingual cor- pora (Tillmann ...
11
DOMCAT: A Bilingual Concordancer for Domain Specific Computer Assisted Translation
... retrieving sentence pairs from a bilingual corpus, identifying translation equivalents of the query in the sentence pairs (translation spotting) and ranking the retrieved sentence ...
6
Filtering of Noisy Parallel Corpora Based on Hypothesis Generation
... The order in which the rules are applied is impor- tant, since sentences that are filtered out with zero score assigned by one rule will not be a candidate for selection in subsequent rules. After applying different ...
7
Scoring Sentence Singletons and Pairs for Abstractive Summarization
... of sentence pairs selected by “BERT- ...more pairs than single- tons seems to hurt the ...76.90% sentence pairs for DUC-04 and CNN/DM respectively, and ...of sentence selection ...
15
Improving English Russian sentence alignment through POS tagging and Damerau Levenshtein distance
... Moving further in an effort to improve the al- gorithm, we found that Damerau-Levenshtein dis- tance shows some kind of dis-balance when com- paring short and long “words”. Short “words” re- ceive low distance estimates ...
6
The QT21 Combined Machine Translation System for English to Latvian
... maximum sentence length for both source and target limited to 50 (BPE) tokens, no dropout and embeddings (both source and target) of 600, vocabulary shared between encoder and decoder, attention and conditional ...
10