[PDF] Top 20 Towards Language Agnostic Universal Representations
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Towards Language Agnostic Universal Representations
... unite universal (task agnos- tic) representations with multilingual (language agnostic) representations (Peters et ...sal representations has been moving away from context-less ... See full document
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InferLite: Simple Universal Sentence Representations from Natural Language Inference Data
... In this work we propose a lightweight version of InferSent, called InferLite. InferLite deviates from InferSent in that it does not use any recurrent con- nections and can generalize to multiple pre-trained word ... See full document
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Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
... In this paper, we study the task of learning uni- versal representations of sentences, i.e., a sentence encoder model that is trained on a large corpus and subsequently transferred to other tasks. Two questions ... See full document
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hULMonA: The Universal Language Model in Arabic
... the language using large corpora that do not require ...Early language models focused on vector embeddings for words and provided word-level vector representations (Mikolov et ...the language ... See full document
10
SentEval: An Evaluation Toolkit for Universal Sentence Representations
... We introduce SentEval, a toolkit for evaluating the quality of universal sentence representations. SentEval encompasses a variety of tasks, including binary and multi-class classification, natural ... See full document
6
Is “Universal Syntax” Universally Useful for Learning Distributed Word Representations?
... This first cross-linguistic analysis covering only a small set of languages from the same (Indo- European) phylum also reveals that training word embeddings in languages other than English is not trivial, suggesting ... See full document
7
Language Agnostic Model for Aspect Based Sentiment Analysis
... used language-dependent features like lemmas and Part-of-Speech (PoS) tags to achieve the state-of-the-art score for aspect extraction in ...different language family); b) we propose four different ... See full document
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Learning Universal Sentence Representations with Mean Max Attention Autoencoder
... Unsupervised training with unordered sen- tences. This kind of methods depends only on naturally occurring individual sentences. Le and Mikolov (2014) propose the paragraph vec- tor model, which incorporates a global ... See full document
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Towards Building A Domain Agnostic Natural Language Interface to Real World Relational Databases
... vector representations of words which try to capture se- mantic information about the ...Distributed representations of words in a vector space help learning algorithms to achieve better performance in ... See full document
10
Multilingual NMT with a Language Independent Attention Bridge
... sentence representations learned by our model to downstream tasks collected in the SentEval toolkit (Conneau and Kiela, 2018) to evaluate the quality of our language-agnostic sen- tence ... See full document
7
An Evaluation of Language Agnostic Inner Attention Based Representations in Machine Translation
... a language-rotating scheduler, in which each mini-batch contains sen- tences from a different language pair, cycling through all the language pairs ... See full document
6
Locale agnostic Universal Domain Classification Model in Spoken Language Understanding
... same language to 1) improve domain classification model accuracy in Spo- ken Language Understanding and user expe- rience even if new locales do not have suf- ficient data and 2) reduce the cost of scaling ... See full document
7
Learning Representations for Detecting Abusive Language
... abusive language, and whether such a represen- tation can be used in supervised methods for de- tecting abusive ...character-level language model, all further detailed in Section ... See full document
9
Correlating Neural and Symbolic Representations of Language
... Our language consists of expressions which en- code addition and subtraction modulo ...this language, and the rules for seman- tic ...This language lacks ambiguity, has a small vocab- ulary (14 ... See full document
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Distributed Representations of Geographically Situated Language
... the representations learned for Wis- consin; a naive alternative would be to simply train individual models on each variable value (a “Cal- ifornia” model using data only from California, ...encourages ... See full document
7
Towards Universal Semantic Representation
... inter- language variations important for practical usage are not yet captured by the efforts so ...one language and appli- cable for other ...geared towards cross-lingual universal ... See full document
5
Cognitive Prerequisites and Language Acquisition: A Developmental Perspective
... that language is only one of many analytic activities which all depend on cognitive ...underlying language skills. McLaughlin also suggests that second language learning is viewed as the acquisition ... See full document
5
Learning Language Representations for Typology Prediction
... a language to help infer other unknown fea- tures of the language (Daum´e III and Campbell, 2007; Takamura et ...the language at hand, Littell et ...each language according to normalized ... See full document
7
Towards Universal Web Parsebanks
... Another example of a construction for which a web-based, syntactically analyzed corpus is very convenient is the new usage of the Finnish subor- dinating conjunction koska “because” (Sinnemaa, 2014; Rehn, 2014). ... See full document
10
Towards a performance portable, architecture agnostic implementation strategy for weather and climate models
... commitments towards a single source code, performance portability across different high performance computing architectures, and a high usability of the source code by non-expert programmers are ... See full document
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