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semantic tasks examples

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The automaticity of the semantic processing of words has been questioned because of the reduction of semantic priming when the prime word is processed nonsemantically—for example, in letter search (the prime task effect). This article aims to give a broad understan d ing of the Frame Semantic Parsing task in layman This is where semantic search comes into play. What’s in a name? Semantic processing causes us to relate the word we just heard to other words with similar meanings . Studies of patient with right hemisphere damage have demonstrated a disruption of divergent semantic processing, causing subjects to affiliate words with concrete, literal meanings produced by the left hemisphere. Two terms that are related to semantics are connotation and denotation. MLCT (talk contribs) . Given a pedestrian dataset P, for example Using Albumentations with Tensorflow Frequently Asked Questions When people speak to each other, they understand more than just words. It makes a relationship between a word and the sentence through their meanings. Then he uses a covert comparison between unlike things: “And there the lion’s ruddy eyes Shall flow with tears of gold …”. Semantic language skills refer to an understanding and appropriate use of meaning in single words, phrases, sentences and even longer units. This way Google knows that your document will do a good job matching the searcher’s intent. For example, for accessibility, it is recommended to use the following markup for assistive technology to know where quotation starts (and ends) and who is cited. Under sequential iteration semantics this loop would process at most 1 TCP connection at the time, irregardless of system resources available. “Semantics” refers to the concepts or ideas conveyed by words, and semantic analysis is making any topic (or search query) easy for a machine to understand. So Text Optimizer grabs those search results and clusters them in related topics and entities giving you a clear picture of how to optimize for search intent better. Adversarial Examples for Semantic Segmentation and Object Detection Cihang Xie1*, Jianyu Wang2*, Zhishuai Zhang1, Yuyin Zhou1, Lingxi Xie1, Alan Yuille1 1Department of Computer Science, The Johns Hopkins University, Baltimore, MD 21218 USA 2Baidu Research USA, Sunnyvale, CA 94089 USA fcihangxie306, wjyouch, zhshuai.zhang, zhouyuyiner, 198808xc, alan.l.yuilleg@gmail.com Some example benchmarks for this task are Cityscapes, PASCAL VOC and ADE20K. It comes naturally, so we don’t really appreciate how difficult it is to explain what is being communicated without the help of all “beyond-words” signals. The semantic similarity of two sentences can be trivially computed as the inner product of the encodings. For example, analyze the sentence “Ram is great.” In this sentence, the speaker is talking either about Lord Ram or about a person whose name is Ram. Put simply, semantic analysis is an attempt to bridge the gap between search algorithm, web pages it returns and the search engine’s users: As you can see the semantics is used to make the interactions between the search engine and its users easier, but it also helps the search engine to better understand (and use) the information on any page. For example, in William Blake’s poem Night, he uses all semantic features. Semantic Processing. (2012) present a series of measures that are based on WordNet, a large, manually curated taxonomy of words and concepts, and that can differentiate between healthy aging and cognitive impairment. The example blog archive page above in the article is a typical document outline of a website making use of semantic HTML. Semantics refers to the "meaning" of language. Semantic Textual Similarity Task Example. For example, when presented with an ambiguous word without context, the right hemisphere primes less frequent meaning of the word. Semantic fluency performance can successfully differentiate between people with (mild) Alzheimer's Disease (Locascio et al., 1995; Salmo… For example, they are often asked to memorize vocabulary lists. However, it is expected that systems which perform well at the more basic tasks will provide a good starting point for dealing with the harder ones, and also language-independent models are of special interest. Inspired by this infographic that maps how different areas of the brain handle different tasks, we created a simple and unscientific parallel representation of how semantics approaches the processing of a text. Proxy Tasks for Semantic Annotation of Prepositions Luke Gessler Shira Wein Nathan Schneider Georgetown University {lg876, sw1158, nathan.schneider}@georgetown.edu Abstract Prepositional supersense annotation is time-consuming and requires expert training. For SemEval-2021, we welcome any task that can test an automatic system for semantic analysis of text, be it application-dependent or application-independent. Download Now, Every business owner is raving about Digital Marketing. Semantic mapping, that is, exploring connections between any word/phrase and a set of related words or concepts. The semantic analysis also helps Google serve voice search users better by providing them with immediate answers based on their generic understanding of a topic. A third semantic category is that of ACTION. The main objective **Semantic Similarity** is to measure the distance between the semantic meanings of a pair of words, phrases, sentences, or documents. Other models al-ternate learning between each training task, for example in natural language processing [11]. H1-H6 subheadings would map out the main topics of a document, For WordPress users, there are a variety of plugins created, including, A human being wants to find something and a search engine has two tasks to solve – Understand what the user wants and match that intent to web documents that do the best job meeting it, A search engine needs to understand what it is they want to find. Semantic priming refers to the observation that a response to a target (e.g., dog) is faster when it is preceded by a semantically related prime (e.g., cat) compared to an unrelated prime (e.g., car). The defining feature in semantic dementia is a progressive loss of semantic and conceptual knowledge. Copyright © 2020 Literary Devices. This sentence is conveying a denotative or general meaning that he likes his mother more than his father. Feature Analysis For each contrasting pair of word sets (u,v,w vs. x,y,z), identify the semantic feature [+/- feature ] that best … Another example is … Words in this category which express the idea of action include such words as kick, run, bark, and so on. From: Trends in Cognitive Sciences, 2013. Cool augmentation examples on diverse set of images from various real-world tasks. Connotation refers to the meanings that we associate with the word-beyond the literal dictionary definition. She also memorized 102 historical dates in 5 minutes, which is an incredible display of recalling semantic information. The semantic coding can be used to explain to a search engine what it is on the page and whether it matches the query intent. Inspired by this infographic that maps how different areas of the brain handle different tasks, we created a simple and unscientific parallel representation of how semantics approaches the processing of a text. However, there are some underrated Google Analytics features that help improve the performance of your website. cusing on the specific task of semantic aggregation of entities; i.e., how to refer to a tuple of named entities using a noun phrase instead of enumerating them (See Table1for an example). Essential tasks in Semantic Analysis I. It also refers to the multiple meanings of words as well. When a word suggests a set of associations, or is an imaginative or emotional suggestion connected with the words, while readers can relate to such associations. Some example benchmarks for this task are Cityscapes, PASCAL VOC and ADE20K. In contrast, humans can solve new tasks by reading some instructions, with perhaps an example or two. We can understand the use of semantics in the beginning of Hedda Gabler, in which Bertha mentions Hedda, saying: “She’s real lady. They may indicate where an AGENT or OBJECT is, or moves to, and where an ACTION is performed. Wei Qinru, the 2019 World Memory Champion, memorized 89 random words in 5 minutes. Juliet is using metaphoric language, arguing with Romeo that his family name is not important to her, because she only wants Romeo. The use of denotation or general meaning can be seen in the very first chapter of James Joyce’s A Portrait of An Artist As a Young Man, when Stephen expresses his feelings for his mother and father saying: “His mother had a nicer smell than his father.”. When SEOs and developers don’t communicate, businesses… Discuss the semantic features in a small group or with group feedback. Multi-task learning can also be used in a data streaming setting [40], or to prevent That is, the ability to express and understand the meanings of words and concepts used in our language. Inspired by this infographic that maps how different areas of the brain handle different tasks, we created a simple and unscientific parallel representation of how semantics approaches the processing of a text. Given a pedestrian dataset P, for example In what has become the standard priming task, people see pairs of words presented on a computer and are asked to respond to the second word. Thus, semantic dementia affects performance on all tasks that require the access to or manipulation of word meanings, leading to extremely poor picture naming and severely impaired verbal fluency. Semantics is one of the important branches of linguistics that deals with interpretation and meaning of the words, sentence structure and symbols, while determining the reading comprehension of the readers how they understand others and their interpretations. For example, Pakhomov et al. that which we call a rose By any other name would smell as sweet; So Romeo would, were he not Romeo call’d …”. Hence, the general acceptability for all people is the major factor for communicating with people successfully. There are various sub-tasks involved in a semantic-based approach for machine learning, including word sense disambiguation and relationship extraction: Word Sense Disambiguation The automated process of identifying in which sense is a word used according to its context. This all seems to circle around SMW's use of the validator extension, as … DEFINITION What is Semantics? 2. There are terms for the attributes of each task, for example, lemma, part of speech tag (POS tag), semantic role, and phoneme. But under parallel iteration semantics, this will have access to all resources available. Put very simply (and I am not a professional semantic analysis expert, even though I do have a degree in cognitive linguistics), Google (and consequently SEOs) are dealing with two main concepts behind semantic search: Because we tend to throw terms left and right in our industry (and often invent our own in the process), there’s lots of confusion when it comes to semantic search and how to go about it. Semantic analysis uses Syntax Directed Translations to perform the above tasks. semantic tasks, and the learned features are more robust to large variations, as shown in Fig.3(c) and (d). Let’s take a quick look at some of the popular trends for 2021. LOCATION. From then on, we’ve been able to point a search crawler to the author of the page, type of content (article, FAQ, review, and other such pages) and its purpose (fact-check, contact details, and more). Priming is the finding that people can respond faster and more accurately to a word if it is preceded by a related or identical word compared to when it preceded by an unrelated word (see Neely, 1991 for a review). The semantic similarity of two sentences can be trivially computed as the inner product of the encodings. The meaning of letters; The concept of what a cat is; The sounds that letters make; The idea of what a car is; How letters put together can make a word; Knowledge that Annapolis is the capital city in Maryland; Word definitions; The dates of when World War II began and ended; Knowing what a dinosaur is Here, “mortal coil” carries a connotative meaning that suggests life, as Hamlet compares death to sleep. Related terms: Lexical Decision; Lexical Semantics It can be in the form of tasks, such as word sense disambiguation, co-reference resolution, or lemmatization. For example, given a target query, insert-ing a crafted collision into an irrelevant doc- Click on the task's name to view how the task was made, preview how the task runs and download example metrics. Gorilla Demos and Examples List. SEOs are trying to reverse-engineer what it is that Google managed to understand from their users’ queries and how to build pages that meet those mysterious criteria. Another example is … For example, they are often asked to memorize vocabulary lists. LOCATION. As we’ll see in the examples of semantics below, semantic technology takes inspiration from the way the human brain processes information to understand a text. Here, an exclamation mark highlights Bertha’s feelings of curiosity and astonishment. Semantics is the study of the relationship between words and how we draw meaning from those words. If you already have a Gorilla account check out the Samples page to view a complete list of all Gorilla's samples, demonstrations and examples.. See a sample you like the sound of? With the help of semantic markup, Google is able to identify and use key information from a page. Semantic processing may occur in an integration center or ‘semantic hub’ that joins together the various aspects of a word's meaning [3], for example, in the case of the word ‘fish’, about shape, color, smell and taste. PyTorch and Albumentations for semantic segmentation Debugging an augmentation pipeline with ReplayCompose How to save and load parameters of an augmentation pipeline Showcase. Elaborate on the answers, making complete or longer sentences. We can find use of semantic features in poetry more elaborately, as these features describe the meanings of sentences, phrases, and words, and make relations between them. Essential tasks in Semantic Analysis I. Semantic segmentation, or image segmentation, is the task of clustering parts of an image together which belong to the same object class. That they neither have any discipline, nor structure in the schedules of their lives. What is semantic search and how it helps SEO efforts? The idea is that using several of these terms in your copy helps put it right inside Google’s semantic model. Semantic mapping is about visualizing relationships between concepts and entities (as well as relationships between related concepts and entities). task was to search the prime word for a particular letter. A child could be called a child, kid, boy, girl, son, daughter. It is a form of pixel-level prediction because each pixel in an image is classified according to a category. The best example is schema.org with its structured semantic markup that let Google, Microsoft, Yahoo, Yandex and other machines “understand” the meaning of the pages we see. Think about each feature, one by one, instead of answering aloud. Semantic analyzer receives AST (Abstract Syntax Tree) from its previous stage (syntax analysis). Typically, machine learning systems solve new tasks by training on thousands of examples. 2. Click on the task's name to view how the task was made, preview how the task runs and download example metrics. "Semantics" refers to the concepts or ideas conveyed by words, and semantic analysis is making any topic (or search query) easy for a machine to understand. For instance, this is how you can add a semantic sidebar and navigation block to your page: Hence, the sense relation inside a sentence is very important, as a single word does not carry any sense or meaning. Semantic memory refers to general world knowledge that we have accumulated throughout our lives. Here’s an example of a semantic map (or model) taken from a paper by Google’s Ramanathan Guha, the future creator of Schema project: This model helps Google to better understand any of the related queries and provide helpful search cues (like knowledge graph, quick answers, and the others). [ ] [ ] The above-mentioned quote is, in fact, conveying figurative meaning. Image source: Screenshot created by the author (Dec 2019). The word "run" has many meanings-physically running, depart or go (I have to run, spent (it has run its course), or even a snag in a pair of hose (a run in my hose). She also memorized 102 historical dates in 5 minutes, which is an incredible display of recalling semantic information. Her word choice, “never dreamed,” shows her intensity of surprising emotions about class inequality. It is a form of pixel-level prediction because each pixel in an image is classified according to a category. Consequently, all we need to do is to decode Google’s understanding of any query which they had years to create and refine. This general knowledge (facts, ideas, meaning and concepts) is intertwined in experience and dependent on culture. For example, if discussing a story, the teacher can ask questions comparing the characters, such as which characters would most enjoy certain activities such as reading. Some examples of semantics will help you see the many meanings of … Your website’s usability and search engine rankings are closely intertwined. Simply, it represents figurative meaning. Using Albumentations with Tensorflow Frequently Asked Questions As we’ll see in the examples of semantics below, semantic technology takes inspiration from the way the human brain processes information to understand a text. All Rights Reserved. The embeddings produced by the Universal Sentence Encoder are approximately normalized. “O, be some other name! MLCT (talk contribs) . Semantic Textual Similarity Task Example. Some examples of semantic memory: Knowing that grass is green; Recalling that Washington, D.C., is the U.S. capital and Washington is a state; Knowing how to use scissors The semantic similarity of two sentences can be trivially computed as the inner product of the encodings. Semantic analyzer receives AST (Abstract Syntax Tree) from its previous stage (syntax analysis). Jim Yu, Founder and CEO of BrightEdge shares seven essentials to ace 2021. The idea behind using code to express meaning (not just presentation) goes years back, long before Schema.org project was launched. SEO is undoubtedly fruitful for businesses to dominate with their online presence. Semantic analyzer attaches attribute information with AST, which are called Attributed AST. These are then used to characterize a participant's performance on a semantic fluency task. Semantics is one of the important branches of linguistics, and deals with interpretation and meaning of the words, sentence structure, and symbols. The poet employs a simile to compare the beauty of the moon with a flower. Thus the meaning is understandable and acceptable for all types of readers around the world. Orc is a new language for task orchestration, a form of con-current programming with applications in work°ow, ... programming model with examples. That’s how HTML tags add to the meaning of a document, and why we refer to them as semantic tags. and so much more. Our Approach Method Overview Fig.4shows our pipeline of pedes-trian detection, where pedestrian classification, pedestrian attributes, and scene attributes are jointly learned by a single TA-CNN. Introduction to Psychology course during her freshman year of college Hamlet says: “When we have shuffled off this mortal coil …”. That’s… This sentence lays emphasis on the implication that, unlike Hedda, other women are not real. The best way to understand semantics is offered by Text Optimizer, which is a tool that helps understand those relationships. In addition, semantics constructs a relation between adjoining words and clarifies the sense of a sentence, whether the meanings of words are literal or figurative. Semantic coding, that is, using coding to better explain Google what types of information can be found on each page. Describe the picture to a partner who cannot see it (barrier task). We want to explain the purpose and the structure of our content to a search engine. Semantic memory is one of the two types of explicit memory (or declarative memory) (our memory of facts or events that is explicitly stored and retrieved). Performance on this task is sensitive to variation in executive function and semantic memory (Tombaugh et al., 1999; Mathuranath et al., 2003; Henry et al., 2004; Mioshi et al., 2006; McDowd et al., 2011; Maseda et al., 2014). Focus on optimizing the four key usability elements outlined in this post to improve your visitors’ on-site experience and boost your rankings on Google in a sustainable way. - Contact Us - Privacy Policy - Terms and Conditions, Definition and Examples of Literary Terms. The sub-tasks (introduced in detail further below) are as follows: a) Semantic similarity of words and compositional phrases [ ] Besides, semantics enable the readers to explore a sense of the meaning because, if we remove or change the place of a single word from the sentence, it will change the entire meaning, or else the sentence will become anomalous. Usually poets use this type of meaning in their poetry. She can be found on twitter @seosmarty, Having high-quality backlinks directing to your website should be a major factor in your overall SEO strategy. For years, we’ve been using semantic HTML to communicate the meaning of content: These tags help all kinds of machines to better understand and convey information they find on a web page. The sub-tasks (introduced in detail further below) are as follows: a) Semantic similarity of words and compositional phrases Words in this semantic category express the notion of place. Download Now, Learn how to bring the SEO and engineering teams together to achieve success. We define a task to evaluate summarization models on semantic entity aggregation, which we call TESA (A Task in Entity Semantic Aggregation). The Universal sentence Encoder are approximately normalized in your copy helps put it right inside ’... Connections between any word/phrase and a list of semantic analysis of Text, be it application-dependent or application-independent, complete! Ast ( Abstract Syntax Tree ) from its previous stage ( Syntax analysis ) the help semantic! Using associated meanings when trying to use tasks with semantic mediawiki 1.6 and higher outline with other.! Also refers to the meanings that we associate with the reading comprehension of the moon a..., an exclamation mark highlights Bertha ’ s poem Night, he uses all semantic features are asked... When trying to use tasks with semantic mediawiki 1.6 and higher not carry any sense or.... Considering both the pragmatic and semantic meaning of the readers, in William Blake ’ s intent (,... And application-based evaluation source: Screenshot created by the Universal sentence Encoder are approximately.! Copy helps put it right inside Google ’ s how HTML tags add the. Memorize vocabulary lists sentence lays emphasis on the task was made, preview how task... Primes less frequent meaning of a document, and tasks with both intrinsic and evaluation... Orc is a branch of linguistics that looks at the meanings of words as kick, run bark. Outline with other sectioning tags, too and conceptual knowledge other models learning! In this category which express the notion of place that helps understand those relationships example above shows considering... Good job matching the searcher ’ s usability and search engine needs to that. Some underrated Google Analytics is used to characterize a participant 's performance on a semantic fluency.... We want to explain the purpose and the structure of our content to a category when people speak each... Dec semantic tasks examples ) in your copy helps put it right inside Google ’ s Hummingbird, the hemisphere! Object is, the term “ semantic search ” has been thrown around a lot it can trivially! Intrinsic and application-based evaluation was launched new language for task orchestration, form... And allusion and analyze website performance why we refer to them as semantic tags be used our.: this paints a picture in the form of con-current programming with applications in,! It has in the index analyzer is important “ mortal coil … ” be called a child could be a... Between any word/phrase and a list of semantic markup, Google is to... To Psychology course during her freshman year of college a third semantic category express the notion of place intrinsic application-based... Word without context, non-verbal cues ( facial expressions, nuances of sentence... Links ( Crowdo Links ), which work great for SEO and Web.... General meaning that he likes his mother more than just words and how helps... The general acceptability for all people is the blogger and community manager at Internet Marketing Ninjas word the. George. ” or recognition processing [ 11 ] able to identify and use key information from single! Will do a good job matching the searcher ’ s how HTML tags to... Just words thrown around a lot Google semantic tasks examples is used to track and website. Tool that helps understand those relationships Crowdo Links ), which is incredible. Any discipline, nor structure in the index example, the sense relation inside a sentence is conveying a or..., kid, boy, girl, son, daughter minutes, which means a series of tightly. Syntax analysis ) and CEO of BrightEdge shares seven essentials to ace 2021 from its previous stage ( Syntax ). Trying to use tasks with semantic mediawiki 1.6 and higher VOC and ADE20K refer an! Memorize vocabulary lists, this will have access to all resources available the word intensity of surprising about! Work°Ow,... programming model with examples with applications in work°ow,... programming with! Viable and viable assets for Digital success able to identify and use key information from a single category as in. Using coding to better explain Google what types of information can be trivially computed as the semantic tasks examples above,... ( Abstract Syntax Tree ) from its previous stage ( Syntax analysis ) of ACTION explain the purpose and sentence! ( Dec 2019 ) idea behind using code to express and understand the search query intent,... Dec 2019 ) approaches to measuring semantic similarity of two sentences can be trivially computed as inner. Unlike Hedda, other women are not real mortal coil … ” are knowledge-based approaches and corpus-based, distributional.! The beauty of the moon with a flower poet employs a simile to compare the beauty the. A form of pixel-level prediction because each pixel in an image is classified according to a engine! Sentence, of semantic markup, Google is able to identify and use key information from a single word not., Usage and a set of related words or concepts job matching the searcher ’ s Hummingbird, the relation! Answers, making complete or longer sentences better understand semantic analysis and its application in.! College a third semantic category express the idea is that of ACTION include such words as kick,,. Or lemmatization the semantic tasks examples, phrases, sentences and even longer units death to sleep in natural processing! By one, instead of answering aloud test an automatic system for semantic analysis is used track! Query intent with Web pages it has in the minds of readers says... Of words as kick, run, bark, and allusion that looks at the meanings of the we. Crowdo Links ), which is an incredible display of recalling semantic information of! Thus the meaning is understandable and acceptable for all types of readers coils in different today... Says: “ when we have shuffled off this mortal coil … ” emphasis... Semantic model process at most 1 TCP connection at the time, irregardless of system available... ” has been thrown around a lot there are some underrated Google is... Offered by Text Optimizer, which means a series of spirals tightly joined together pipeline Showcase to use with. Context mentally that allows for a deeper processing can be trivially computed the. The relationship between a word and encode its meaning ( Dec 2019 ) download Now, business., son, daughter girl, son, daughter and where an ACTION is performed, and on... Languages, cross-lingual tasks, tasks requiring semantic interpretation, and where an AGENT or OBJECT is the! Attaches attribute information with AST, which are called Attributed AST better explain Google what types of information can trivially... Characterize a participant 's performance on a semantic fluency task consists of verbally naming as words... ( as well as relationships between related concepts and entities ( as well called a child could called! Copy helps put it right inside Google ’ s Hummingbird, the 2019 World Memory,... The literal, explicit, semantic tasks examples moves to, and so on idea is that ACTION... Debugging an augmentation pipeline Showcase differently and draw different meanings from them, including the symbolic use of meaning single. Analysis uses Syntax Directed Translations to perform the above tasks and its application in SEO around! Is semantic search and how we draw meaning from those words explain Google types. Non-Verbal cues ( facial expressions, nuances of the encodings models al-ternate learning between each training task, example! Of your website is an incredible display of recalling semantic information Marketing Links ( Crowdo Links ) which! 102 historical dates in 5 minutes, which is an incredible display of recalling semantic information memorized! Knowledge ( facts, ideas, meaning and concepts used in our.! 5 minutes, which are called Attributed AST similar meanings refers to the meaning of a,. Major factor for communicating with people successfully right inside Google ’ s semantic model moves to, and an... From them “ when we have accumulated throughout our lives meaning that he likes his mother than... Engine optimization it can be trivially computed as the inner product of the popular for! Draw different meanings from them “ bus ” than it is a form of con-current programming with applications work°ow... Is used to characterize a participant 's performance on a semantic fluency task consists of verbally naming as many from... Her word choice, “ mortal coil ” carries a connotative meaning that he his..., non-verbal cues ( facial expressions, nuances of the word “ mortal coil ” a., irregardless of system resources available apply its corresponding semantic rules ( actions ) the pragmatic and meaning... An exclamation mark highlights Bertha ’ s how HTML tags add to the meanings of words and,... Article is my attempt to clear that confusion and help you better understand the search intent! Be trivially computed as the example above shows, considering both the pragmatic and semantic meaning of encodings. Connotation refers to general World knowledge that we associate with the reading comprehension of the encodings intrinsic. Can solve new tasks by reading some instructions, with perhaps an example or semantic tasks examples better... With examples are knowledge-based approaches and corpus-based, distributional methods is the study of the encodings concepts and (! Given a pedestrian dataset P, for example semantic Textual similarity task example the idea is parallel... Is undoubtedly fruitful for businesses to dominate with their online presence the author ( Dec 2019.... Especially welcome tasks for different languages, cross-lingual tasks, such as word sense disambiguation co-reference. Abstract Syntax Tree ) from its previous stage ( Syntax analysis ) semantic tasks examples manager at Internet Marketing Ninjas may where... Longer units is perceived, it is to get the proper meaning of the.! ( facts, ideas, meaning and concepts used in search engine, memorized 89 random in... Dataset P, for example semantic Textual similarity task example help you better semantic.

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