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semantically equivalent

Semantically Equivalent Adversarial Rules for Debugging NLP models

Semantically Equivalent Adversarial Rules for Debugging NLP models

... Here we investigate whether experts are able to detect high-impact global bugs, i.e. devise rules that flip many predictions, and compare them to generated SEARs. Instead of AMT workers, we have 26 expert subjects: ...

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Learning Hybrid Representations to Retrieve Semantically Equivalent Questions

Learning Hybrid Representations to Retrieve Semantically Equivalent Questions

... In this paper, we propose a hybrid neural network architecture, BOW-CNN, that combines bag-of- words with distributed vector representations cre- ated by a CNN, to retrieve semantically equivalent ...

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Specific Features of Perception of Semantically Equivalent Stimuli in the Verbal and Visual Form

Specific Features of Perception of Semantically Equivalent Stimuli in the Verbal and Visual Form

... having equivalent physical parameters (size, exposing time, color ...for semantically equivalent visual ...that semantically equivalent constructions presented in visual and verbal ...

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Clustering Semantically Equivalent Words into Cognate Sets in Multilingual Lists

Clustering Semantically Equivalent Words into Cognate Sets in Multilingual Lists

... As an example, consider the average value of the normalized minimum edit distance computed between semantically equivalent words across pairs of word lists. For French and Italian, which are closely related ...

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Detecting Semantically Equivalent Questions in Online User Forums

Detecting Semantically Equivalent Questions in Online User Forums

... For the specific task of semantically equivalent questions detection that we address in this pa- per, we are not aware of any previous work using CNNs. Muthmann and Petrova (2014) approach the task of ...

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Dependency based Automatic Enumeration of Semantically Equivalent Word Orders for Evaluating Japanese Translations

Dependency based Automatic Enumeration of Semantically Equivalent Word Orders for Evaluating Japanese Translations

... 2.2 Simple Case Marker Constraint Figure 2 shows the dependency tree of a more complicated sentence S2:.. • atarashii ie ni inu wo ture te itta.[r] ...

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Identifying Semantic Divergences in Parallel Text without Annotations

Identifying Semantic Divergences in Parallel Text without Annotations

... Translation Divergences We use the term se- mantic divergences to refer to bilingual sentence pairs, including translations, that do not have the same meaning. These differ from typological divergences, which have been ...

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From formation to publication – Design of standards for Sinhala script

From formation to publication – Design of standards for Sinhala script

... := punctuations Mark;01 In addition to the above representation, code points for semantically equivalent graphical shapes for four vowel signs were included to the SLASCII and SLS 1134:1[r] ...

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SYSTRAN @ WNGT 2019: DGT Task

SYSTRAN @ WNGT 2019: DGT Task

... are semantically equivalent to each other, whereas in data-to-text generation, the model initially selects appropriate content from the input data to secondly generate fluent sen- tences that incorporate ...

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Ensuring the discoverability of digital images for social work education : an online tagging survey to test controlled vocabularies

Ensuring the discoverability of digital images for social work education : an online tagging survey to test controlled vocabularies

... and semantically equivalent terms typed into the search box? Though it is reasonably simple for indexers to judge when a tag is a variation of a controlled term or when it shares the same meaning, search ...

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The English split infinitive: A comparative study of learner corpora

The English split infinitive: A comparative study of learner corpora

... In (7), even though the split-infinitive use to not make and the prescriptively preferred version not to make seem to be semantically equivalent, the degree of negation is som[r] ...

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Neuronal activation for semantically reversible sentences

Neuronal activation for semantically reversible sentences

... instance, semantically reversible sentences are used to determine the preservation of syn- tactic processing skills in acquired and developmental dis- orders of language, such as “ agrammatic ” aphasia and ...

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Semantically Significant Patterns in Dictionary Definitions

Semantically Significant Patterns in Dictionary Definitions

... Evens, Martha, Bonnie Litowitz, Judith Markowitz, Raoul Smith, and Oswald Werner.. Evens, Martha, James Vandendorpe, and Yih-Chen Wang.[r] ...

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Shallow Semantically Informed PBSMT and HPBSMT

Shallow Semantically Informed PBSMT and HPBSMT

... tems, i.e. SMT systems, we can access at least two systems, i.e. PBSMT and HPBSMT systems. The merit that accrues from accessing these two translation is shown in Figure 1. In this exam- ple between EN-ES, the skirts of ...

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The Semantically enriched Translation Interoperability Protocol

The Semantically enriched Translation Interoperability Protocol

... In this paper, we have presented a semantically enriched version of TIP which further extends this solution to overcome the interoperability short- comings of todays GILT industry. Based on the needs and ...

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Semantically Smooth Knowledge Graph Embedding

Semantically Smooth Knowledge Graph Embedding

... This paper considers the problem of em- bedding Knowledge Graphs (KGs) con- sisting of entities and relations into low- dimensional vector spaces. Most of the existing methods perform this task based solely on observed ...

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Identifying Semantically Deviating Outlier Documents

Identifying Semantically Deviating Outlier Documents

... A document outlier is a document that sub- stantially deviates in semantics from the majority ones in a corpus. Automatic iden- tification of document outliers can be valu- able in many applications, such as screen- ing ...

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Responding to Semantically Ill Formed Input

Responding to Semantically Ill Formed Input

... We define a distance measure between a clause and a pattern by assigning a score to each type of mismatch clause and pattern have the same syntactic case with different semantic classes;[r] ...

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Developing a large semantically annotated corpus

Developing a large semantically annotated corpus

... of semantically annotated texts with formal, deep semantics rather than shallow? We argue that a bootstrapping approach comprising state-of-the-art NLP tools for parsing and semantic interpretation, in combination ...

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Building a Bank of Semantically Encoded Narratives

Building a Bank of Semantically Encoded Narratives

... We have implemented and publicly released a graphical an- notation tool that facilitates the process of encoding a refer- ence text into a story graph. Figure 2 shows the main screen as configured for annotating The Fox ...

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