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[PDF] Top 20 Cross lingual Semantic Specialization via Lexical Relation Induction

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Cross lingual Semantic Specialization via Lexical Relation Induction

Cross lingual Semantic Specialization via Lexical Relation Induction

... Evaluation Setup. Finally, we also carry down- stream evaluation in the semantic textual similarity (STS) task. The Arabic dataset constructed for Se- mEval 2017 track 1 16 (Cer et al., 2017) consists of sentence ... See full document

12

A Framework for Cross lingual/Node wise Alignment of Lexical Semantic Resources

A Framework for Cross lingual/Node wise Alignment of Lexical Semantic Resources

... Table 1 shows a part of the ranked list for an EDR query concept (roughly means big power), exemplifying that a ranked list is a mixture of synonymous concepts (flag=syn), some related concepts (flag=rel), as well as ... See full document

7

Cross lingual Conversion of Lexical Semantic Relations: Building Parallel Wordnets

Cross lingual Conversion of Lexical Semantic Relations: Building Parallel Wordnets

... It is interesting to note that the classes with least improvements are hypernymy and hyponymy. Since these are the classical IS-A relations, we hypothesize that their predictions are similar to the baseline ... See full document

8

BiFrameNet: Bilingual Frame Semantics Resource Construction by Cross lingual Induction

BiFrameNet: Bilingual Frame Semantics Resource Construction by Cross lingual Induction

... bilingual semantic network—the BiFrameNet, to enhance statistical and transfer-based machine translation ...frame semantic representation, and contains semantic structure transfers between English ... See full document

7

Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross Lingual Constraints

Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross Lingual Constraints

... Semantic specialization methods fall (broadly) into two categories: a) those which train distributed representations ‘from scratch’ by combining distri- butional knowledge and lexical information; ... See full document

16

Cross lingual Parse Disambiguation based on Semantic Correspondence

Cross lingual Parse Disambiguation based on Semantic Correspondence

... An EDG consists of a bag of elementary predi- cates (EPs) which are themselves composed of re- lations. Each line in Figure 1 corresponds to one EP. Relations are the elementary building blocks of the EDG, and loosely ... See full document

5

Sparse Bilingual Word Representations for Cross lingual Lexical Entailment

Sparse Bilingual Word Representations for Cross lingual Lexical Entailment

... Bilingual Word Representations Much re- cent work targets the problem of learning low- dimensional multilingual word representations, using matrix decomposition techniques such as Principal Component Analysis and ... See full document

11

Multilingual and Cross Lingual Graded Lexical Entailment

Multilingual and Cross Lingual Graded Lexical Entailment

... of semantic coverage; 3) the approach has been extensively validated in related work on creating multilingual semantic similarity datasets (Leviant and Reichart, 2015; Camacho- Collados et ...of ... See full document

12

Lexical and Semantic Features for Cross lingual Text Reuse Classification: an Experiment in English and Latin Paraphrases

Lexical and Semantic Features for Cross lingual Text Reuse Classification: an Experiment in English and Latin Paraphrases

... latent semantic relationship between two domains by co-clustering, they can propagate inter-domain labels, which capture common words and se- mantic ...domains. Via projection in related domains, standard ... See full document

5

Learning Bilingual Word Embeddings Using Lexical Definitions

Learning Bilingual Word Embeddings Using Lexical Definitions

... high semantic similarity from lex- ical definitions in ...the cross-lingual definitions of each ...pair induction process enables BilLex to cap- ture abundant high-quality lexical ... See full document

6

Unsupervised Induction of Cross Lingual Semantic Relations

Unsupervised Induction of Cross Lingual Semantic Relations

... text. Semantic machine translation aims to map the source language to an interlingual semantic rep- resentation, and then generate the target language sentence from ...of semantic interpretation than ... See full document

12

Weakly Supervised Cross lingual Semantic Relation Classification via Knowledge Distillation

Weakly Supervised Cross lingual Semantic Relation Classification via Knowledge Distillation

... English Lexical-XXXL ...a lexical split where the English words in the test data are not seen in the training ...labeled cross-lingual examples, we need to define a validation set using the ... See full document

12

A Representation Framework for Cross lingual/Interlingual Lexical Semantic Correspondences

A Representation Framework for Cross lingual/Interlingual Lexical Semantic Correspondences

... complicated relation- ships among linguistic elements have to be ...multi-word lexical entries and complicated translation ...the lexical semantic gaps between the ...existing lexical ... See full document

10

Lexical Generalization in CCG Grammar Induction for Semantic Parsing

Lexical Generalization in CCG Grammar Induction for Semantic Parsing

... (1) has the standard N category for entries of this type, item (2) allows the use of the word “flight” with that-less relative clauses such as “flight depart- ing Boston”, and item (3) is useful for phrases with ... See full document

12

Cross Lingual Semantic Similarity of Words as the Similarity of Their Semantic Word Responses

Cross Lingual Semantic Similarity of Words as the Similarity of Their Semantic Word Responses

... and semantic responses that are completely irrelevant to the given ...the semantic repre- sentation a posteriori to only a smaller number of most important semantic axes in the semantic spaces ... See full document

11

Enhancing Multi lingual Information Extraction via Cross Media Inference and Fusion

Enhancing Multi lingual Information Extraction via Cross Media Inference and Fusion

... Due to different characteristics of video clips and texts, these two tasks have quite different granularities and focus. For example, “PER.Individual” in ACE is an open set includ- ing arbitrary names, while TRECVID ... See full document

9

Cross lingual Learning of an Open domain Semantic Parser

Cross lingual Learning of an Open domain Semantic Parser

... We start with a parallel corpus of sentence pairs whose source-language part has been annotated with semantic CCG derivations as in Figure 1 by the source-language system. We use this annotation in two ways: ... See full document

10

Enhancement of Lexical Concepts Using Cross lingual Web Mining

Enhancement of Lexical Concepts Using Cross lingual Web Mining

... One of the main goals of this paper is the extension or automated creation of lexical databases such as WN. Due to the importance of WN for NLP tasks, substantial research was done on direct or indirect automated ... See full document

10

Treebank Translation for Cross Lingual Parser Induction

Treebank Translation for Cross Lingual Parser Induction

... Previous Cross-Lingual Approaches Annotation projection relies on the mapping of lin- guistic annotation across languages using paral- lel corpora and automatic alignment as basic re- sources (Yarowsky et ... See full document

11

Semantic Interoperability for Cross lingual and cross document Event Detection

Semantic Interoperability for Cross lingual and cross document Event Detection

... In Unstructured Information Management Architec- ture (UIMA) (Ferrucci and Lally, 2004) interoper- ability is provided by platform independent data rep- resentations and interfaces. Information is repre- sented in the ... See full document

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