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Representation in a sentence

Representation: In a Sentence - WORDS IN A SENTENC

  1. Definition of Representation a person or group that speaks or makes decisions on your behalf Examples of Representation in a sentence My parents were my representation of support at my marriage ceremony.
  2. 220+9 sentence examples: 1. Minority groups need more effective parliamentary representation. 2. No legal aid was available to cover representation before tribunals. 3. The snake swallowing its tail is a representation of infinity. 4. His originalit
  3. Examples of representation in a sentence, how to use it. 98 examples: They contrast with syntactic representations, which are structured in terms o
  4. Representation in a sentence | representation example sentences I also demanded union representation. Th e World as Will and Representation. The businesses that seek representation

How To Use Representation In A Sentence? It is a common thing to find a representation of the deceased on the monument. Heliopolis is the house of the obelisk, the obelisk being a representation of the sun. Are there not, in fact, snails, in which an upper jaw is the only representation of a skeleton representation. in a sentence. Minority representation in the media is in particular focus this month. They are reactions to a lack of representation in the statehouse. Taxation without representation is an insult they live with every day. They clamor for group rights and group status and group representation Representation definition is - one that represents: such as. How to use representation in a sentence My call for compulsory voting is coupled with a call for proportional representation.: If a pure form of proportional representation had been used in 2001 we would have had a hung parliament.: Seven Australian parliamentary chambers are elected using proportional representation, and four use optional preferential voting.: Under the system of proportional representation some women were included.

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An utterance contains a symbolic representation of the linguistic information an agent transmits when performing a communicative act during a conversation. From the Cambridge English Corpus An explanatory model, then, is a symbolic representation of distress applied to a particular case of human suffering or illness Examples of direct representation in a sentence, how to use it. 20 examples: In 1885, there was no resolution on direct representation; however, it wa Sentence is an important linguistic unit of natural language. Sentence Representation has remained as a core task in natural language processing, because many important applications in related fields lie on understanding sentences, for example, summarization, machine translation, sentiment analysis, and dialogue system

Representation in a sentence (esp

2.1 Traditional Sentence Representation One-hot Bag of Words (BoW): Each word is linked to a vector index and marked as 0 or 1 depending on whether it occurs in a given sentence How to use representation in a sentence It was a metaphorical statement of giving and withdrawing consent for a show rooted in a literal representation of Coel being assaulted. HOW MICHAELA COEL TELLS AWKWARD TRUTHS EROMO EGBEJULEAUGUST 30, 2020 OZ The sentence representations are obtained by averaging the token embeddings at the last two layers of BERT. For model 2 to 10, we re-trained them on a single GeForce RTX 3090 with pytorch 1.8.1 and cuda 11.1 (rather than V100, pytorch 1.6.0 and cuda 10.0 in our initial experiments) and changed the max_seq_length from 64 to 40 to reduce the.

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Representation in a sentence Example sentence

Representation In A Sentence Short Example Sentence For

Representation is the act of speaking on someone's behalf, or depicting or portraying something. 22. Political Representation is the activity of making citizens present in public policy making processes when political actors act in the best interest of citizens. 23 Deep-syntactic (tectogrammatical) representation of the sentence A similar technique is almost impossible to apply to other crops, such as cotton, soybeans and rice. in the Prague Czech-English Dependency Treebank (PCEDT, rooted in FGD). Nodes correspond to content words and are labeled with basic forms of the lexemes (tectogrammatical lemmas) Sentences are defined recursively as follows: A propositional variable is a sentence (this is known as an atomic sentence) If and are sentences, then , , and are valid sentences; For example, is a valid sentence while isn't a valid sentence. Semantics. We have to define the notion of a world This paper serves as a short overview of the JNLE special issue on representation of the meaning of the sentence, bringing together traditional symbolic and modern continuous approaches. We indicate notable aspects of sentence meaning and their compatibility with the two streams of research and then summarize the papers selected for this.

Sentence representation (SR) is the most cru-cial and challenging task in Machine Reading Comprehension (MRC). MRC systems typi-cally only utilize the information contained in the sentence itself, while human beings can leverage their semantic knowledge. To bridge the gap, we proposed a novel Frame-based Sentence Representation (FSR) method, whic 13. Symbolic representation may refer to: Symbol, an object that represents, stands for, or suggests an idea, belief, action, or material entity Symbolism (disambiguation), various meanings in art, religion, and science Symbolic linguistic representation, a representation of an utterance that uses symbols to represent linguistic informatio Despite the poor quality of representation in many capital cases, courts have often upheld the convictions and death sentences imposed because of low expectations and the belief that better representation would not have made a difference in the case. Where higher quality counsel and adequate resources have been provided, death sentences have. Parse a sentence. Experiment with a new feature of version 4.0--a phrase-parser which shows a constituent representation of a sentence. The grammar was created with formal newpaper-style English in mind. Rather than inventing your own sentences, you may wish to grab them from other sources. The parser expects just one sentence Sentence representation approaches based on deep learning have become a major part of natural language processing, and pretrained sentences have wide applications in biomedical texts. However, the geometric basis of sentence representations has not yet been carefully studied in biomedical texts. In this paper, we focus on exploiting the.

Examples and Observations The surface structure of a sentence is the final stage in the syntactic representation of a sentence, which provides the input to the phonological component of the grammar, and which thus most closely corresponds to the structure of the sentence we articulate and hear.This two-level conception of grammatical structure is still widely held, though it has been much. Proportional representation definition is - an electoral system in which the number of seats held by a political group or party in a legislative body is determined by the number of popular votes received The representation yielded by this latter approach can be imagined as a sentence encoding/embedding/vector in its own right, learned with a specific task objective in mind (text classification, POS-tagging, natural language inference, etc.) Significant mentions of representation:. See representation used in context: 25 rhymes, several books and articles.: Help Advanced Feedback Android iPhone/iPad API. From Tables 5-8, sentence representation using LASER sentence encoder encodes a better representation, which is depicted in the recall and precision values of the NLI system using LASER. This is mainly because using zero shot transfer from languages like English to low resource languages

Representation is the act of speaking on someone's behalf, or depicting or portraying something. (noun) When a lawyer ac... Dictionary Menu. Dictionary Thesaurus Examples Representation Sentence Examples. The right to representation is spreading around the world found that the next sentence prediction played a role in finding relationships between sentences and benefited to the implicit discourse relation classification task. Giant contextualized representation models with pretraining show their power in many natural language understanding tasks even those low-resource tasks [17, 6, 16] Associative theory characterizes the memorial representation of a sentence as a collection of independently linked concepts. In contrast, Gestalt theory says that the representation underlying each proposition expressed in a sentence is an integral unit

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representation in a sentence - representation sentenc

MT systems either did employ an abstract meaning representation, in which case they also incorporated a sentence analysis component, over which the linguists would presumably have held less sway, or they did not employ one, in which case a putative input representation's determinacy would have been irrelevant The representation needs to clearly show the concept being taught, and in particular the key difficulty point. It exposes the structure. In the end, the students need to be able to do the maths without the representation. A stem sentence describes the representation and helps the students move to working in the abstract. Aicyber at SemEval-2016 Task 4: i-vector based sentence representation. In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016), San Diego, US. 3)Researcher are also looking for the output of certain layer in RNN or LSTM network, recent example is

Representation Definition of Representation by Merriam

the neural representation of events and states as they are described by sentences, by developing a predictive, bidi-rectional mapping between the conceptual content of a sentence and the corresponding brain activation pattern. In this article, we describe a computational model that can predict the neural representation of 240 different proposi Representation definition, the act of representing. See more

How to use proportional representation in a sentenc

Cognitive Psychology - Memory Models, Knowledge Representation We've been covering topics such as search, predicate calculus, heuristics, and other formal methods for performing intelligent tasks. Let's start from the other direction - the way that people perform intelligent tasks - and then see if we can construct models that emulate humans SLM: Learning a Discourse Language Representation with Sentence Unshuffling. 10/30/2020 ∙ by Haejun Lee, et al. ∙ 0 ∙ share . We introduce Sentence-level Language Modeling, a new pre-training objective for learning a discourse language representation in a fully self-supervised manner

The Cat Lady is an indie psychological horror graphic adventure video game developed by Harvester Games. Use of Mental Health Themes. Though initially bleak, the story in this game has a positive message ultimately. There are themes of suicide, deliberate self harm, and graphic depictions of disturbing themes, so approach with caution Unsupervised sentence representation learning [Le and Mikolov, 2014, Kiros et al., 2015] is a more complex task than word representation learning because a sentence's meaning is determined by several factors, such as words, the word order, and grammar. The simplest algorithm is to average pre-trained word vectors over words appearing in a. noun. a person or thing that represents another or others. an agent or deputy: a legal representative. a person who represents a constituency or community in a legislative body, especially a member of the U.S. House of Representatives or a lower house in certain state legislatures A new sentence similarity assessment measure based on a three-layer sentence representation. Pages 25-34. Previous Chapter Next Chapter. ABSTRACT. Sentence similarity is used to measure the degree of likelihood between sentences. It is used in many natural language applications, such as text summarization, information retrieval, text.

Sentence Embedding / Sentence Representation: These are representation of sentences in a n-dimensional vector space so that semantically similar or semantically related sentences come closer depending on the training method. 1. The Usage of Sentence Representation. The Tao of sentence representation in industry Taxation without representation definition, a phrase, generally attributed to James Otis about 1761, that reflected the resentment of American colonists at being taxed by a British Parliament to which they elected no representatives and became an anti-British slogan before the American Revolution; in full, Taxation without representation is tyranny

Question 22 In a structural representation of a sentence such as Aksel prepared tea, the morpoheme indicating tense is. Question 22 options: a derivational affix an inflectional affix none of the above both of the above. Question 23 The best description for the sound indicated by the letters th in the word 'father' is CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): The current way of representing semantics or meaning in a sentence is by using the conceptual graphs. Conceptual graphs define concepts and conceptual relations loosely. This causes ambiguity because a word can be classified as a concept or relation. Ambiguity disrupts the process of recognizing graphs similarity. Given that these aspects of speech regularly affect the import of utterances, a written sentence must be considered a poor representation of a spoken utterance. But most philosophical and linguistic analyses have proceeded on the basis of this idealized representation, a tradition that AI has carried on Input representation. The input representation of a text can explicitly represent a single text sentence or a pair of text sentences in a token sequence (for example, [Question, Answer]). For a given token, its input representation is constructed by summing the corresponding token, segment, and position embeddings. Figure 2 is a visual. Representation of polarity, that is, positivity, neutrality and negativity, of a sentence in a natural language, has been a long-standing problem in Natural Language Processing. Knowledge representation using various techniques including frames, conceptual dependency and semantic nets [1] wer

In this paper, we present ConSERT, a Contrastive Framework for Self-Supervised Sentence Representation Transfer, that adopts contrastive learning to fine-tune BERT in an unsupervised and effective way. By making use of unlabeled texts, ConSERT solves the collapse issue of BERT-derived sentence representations and make them more applicable for. Developing the utilized intelligent systems is increasingly important to learn effective text representations, especially extract the sentence features. Numerous previous studies have been concentrated on the task of sentence representation learning based on deep learning approaches. However, the present approaches are mostly proposed with the single task or replied on the labeled corpus when.

%0 Conference Proceedings %T SLM: Learning a Discourse Language Representation with Sentence Unshuffling %A Lee, Haejun %A Hudson, Drew A. %A Lee, Kangwook %A Manning, Christopher D. %S Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) %D 2020 %8 nov %I Association for Computational Linguistics %C Online %F lee-etal-2020-slm %X We introduce. The English language has its own word order, which determines the way of ordering words in a sentence. This research work gives a novel framework for the database to ontology mapping for an explicit description of domain knowledge. It shows the manner by which sentences in the English language can be described as knowledge patterns by means of RDF (Resource Description Framework) graphs Some crimes have sentences that appear relatively minor, but the conviction may have serious repercussions later. For example, convictions for some vehicular offenses may result in increased insurance rates. Or, if the defendant reoffends, the sentence for the second conviction may be much more severe than the first offense

4) Though this paper does not form sentence/paragraph vectors, it is simple enough to do that. One can just plug in the individual word vectors ( Glove word vectors are found to give the best performance) and then can form a vector representation of the whole sentence/paragraph. 5) Using a CNN to summarize documents The Public Defender of Indiana provides representation for Indiana post-conviction relief actions to convicted and sentenced adults, and adjudicated and committed juveniles, who are incarcerated and serving (or subject to future service of) a sentence or commitment imposed by an Indiana court, and are indigent, that is, unable to afford hired. Learning sentence representation with guidance of human attention. In Proceedings of the 26th International Joint Conference on Artificial Intelligence. 4137--4143. Google Scholar Digital Library; Shaonan Wang, Jiajun Zhang, and Chengqing Zong. 2017. Exploiting word internal structures for generic Chinese sentence representation Sentence with the word proportional representation. If a party wins 45% of the popular vote, it'd be entitled to 45% of the seats under the basic concept of proportional representation.Party-List PR is where you vote for a party (closed-list) or number candidates on a list (open-list) Then, the sentence representation will be , where , denotes the dimension of the final word vector, and represents the dimension of the position vector. As shown in Figure 4, the PCNN is mainly composed of two parts. One is the convolutional layer, which uses convolution operations to flexibly extract the local features of the sentence

Risks of self-representation. President Judge D. Gregory Geary explained the risks of self-representation and how a sentence is constructed to Blair at his pleading hearing Unspeakable Sentences: Narration and Representation in the Language of Fiction is a study of sentences in free indirect speech and its limitations, published in 1982 by American literary expert and linguist Ann Banfield.. Further reading. Christine Brooke-Rose: Ill locutions, in: Poetics Today 11 (1990), S. 283-293, also included in: Stories, theories and things, Cambridge University Press.

Sentence representations play an important part in various Natural Language Pro-cessing (NLP) applications. Traditionally, many of the advances in NLP were based on using this meaningful representation of sentences. A representation of a sentence could be sequence of part-of-speech tags of a sentence, parse tree from syntactic parse The semantic representation of a sentence is subject to various well-formedness conditions such as selectional restrictions, conditions on required referentiality and coreference (cf. SIGG sections 5.9, 5.I2, and 7.3 for example), and a general conditio distributed representation for the sentences (a sentence model) using a Recurrent Neural Network (RNN) and then apply this model to both the premise and the hypothesis and then feed the output to a traditional Multi-Layer Perceptron (MLP) for the classification task

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symbolic representation in a sentence Sentence examples

tilingual sentence representation, in particular: it is likely to capture the underlying seman-tics of the sentence (since the meaning is the only common characteristic of a sentence for-mulated in several languages); it has the potential to transfer many sentence For example, the sentence Most dogs bark has the logical form (most d1: (& (dog1 d1) (barks1 d1))) Finally, the lambda calculus is useful in the semantic representation of natural language ideas. If p(x) is a logical form, then the expression \x.p(x) defines a function with bound variable x

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SEMANTICS REPRESENTATION IN A SENTENCE WITH CONCEPT RELATIONAL MODEL (CRM) Rusli Abdullah, Mohd Hasan Selamat, Hamidah Ibrahim, Ungku Azmi Ungku Chulan and Nurul Amelina Nasharuddin Faculty of Computer Science and Information Technology Universiti Putra Malaysia rusli@fsktm.upm.edu.my hasan@fsktm.upm.edu.my hamidah@fsktm.upm.edu.my uauc06@yahoo.co Facts are claims about the world that are True or False, whereas a representation is an expression (sentence) in some language that can be encoded in a computer program and stands for the objects and relations in the world We need to ensure that the representation is consistent with reality, so that the following figure holds We introduce Sentence-level Language Modeling, a new pre-training objective for learning a discourse language representation in a fully self-supervised manner. Recent pre-training methods in NLP focus on learning either bottom or top-level language representations: contextualized word representations derived from language model objectives at one extreme and a whole sequence representation. The problem representation is a one-sentence summary that highlights the defining features of a case. It helps clinicians summarize their thoughts and then generate a differential diagnosis. The one-liner statements used to summarize patient cases on rounds, in notes, or when calling consults are all versions of the problem representation

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Professor James Liebman of Columbia University examined every capital sentence from 1973 to 1995 and found that 68 percent of the cases had been reversed. Inadequate representation was one of the primary reasons for the high reversal rate. In addition to inadequate funding, most states do not have meaningful competency standards The main goal of CD representation is to capture the implicit concept of a sentence and make it explicit. In normal representation of the concepts, besides actor and object, other concepts of time, location, source and destination are also mentioned. Following conceptual tenses are used in CD representation. 1) O: Object case relationshi sentence syntax (such as coreference and tense rules) are very hard to formalize. In this paper, we introduce a neural network model for the coherence task based on distributed sentence representation. The proposed approach learns a syntactico-semantic representation for sentences au-tomatically, using either recurrent or re-cursive neural.

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Quick-Thought (QT) vectors (Logeswaran & Lee, 2018) formulate sentence representation learning as a classification problem: Given a sentence and its context, a classifier distinguishes context sentences from other contrastive sentences based on their vector representations (cloze test). Such a formulation removes the softmax output layer. It is a sentence. So is this. So are all of these. This is a sentence. This is not a sentence is a sentence also. It is different than This is not a pipe (Ceci n'est pas une pipe.) because there is no pipe in the room where that picture is sh..

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nearby location. The sentence is ambiguous; a single linguistic expression can have one of two meanings. But our meaning representations itself cannot be ambiguous. The representation of an input's meaning should be free from any ambiguity, so that the the system can reason over a representation that means either one thing or th A discourse representation structure (DRS) is a mental representation built up by the hearer as the discourse unfolds. A DRS consists of two parts: a universe of so-called discourse referents, which represent the objects under discussion, and a set of DRS-conditions which encode the information that has accumulated on these discourse. Abstract Sentence Representation In 3-Year-Olds: Evidence From Comprehension and Production. J Mem Lang, 2008. Giulia Bencini. Download PDF. Download Full PDF Package. This paper. A short summary of this paper. 37 Full PDFs related to this paper. READ PAPER On the representation of normative sentences in FOL Andrew J.I. Jones Steven O. Kimbrough March 8, 2013 Contents 1 Introduction 3 2 Sentence Logic (SL) Formulations 4 3 System T 8 4 SDL: Standard Deontic Logic 12 5 Intensionality 14 6 Multiple Operators 16 7 The Machinery and Motivation (for ES ) 1 Lawrence Erlbaum, 1999. [Deep structure is a] representation of the syntax of a sentence distinguished by varying criteria from its surface structure. E.g. in the surface structure of Children are hard to please, the subject is children and the infinitive to please is the complement of hard