In the near future synonym

• [PDF File]Near-synonym Lexical Choice in Latent Semantic Space

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  In Section 4, we formulate near-synonym lexical choice as a learning problem and report our system performance. Section 5 formalizes the no-tion of subtlety and its relation to dimensionality and context. Conclusions and future work are pre-sented in Section 6. 2 Related Work 2.1 Near-Synonymy and Nuances Near-synonymy is a concept better ...

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• [PDF File]Near-synonym Lexical Choice in Latent Semantic Space

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  In Section 4, we formulate near-synonym lexical choice as a learning problem and report our system performance. Section 5 formalizes the no-tion of subtlety and its relation to dimensionality and context. Conclusions and future work are pre-sented in Section 6. 2 Related Work 2.1 Near-Synonymy and Nuances Near-synonymy is a concept better ...

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• [PDF File]Near-Synonym Choice in an Intelligent Thesaurus

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  ences specic to each near-synonym. Our thesaurus brings up only alternatives that have the same part-of-speech with the target word. The choices could come from various inventories of near-synonyms or similar words, for example the Roget thesaurus (Roget, 1852), dictionaries of syn-onyms (Hayakawa, 1994), or clusters acquired from corpora (Lin ...

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• [PDF File]Near-Synonym Choice in Natural Language Generation - University of Toronto

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  The choice between near-synonyms such as error, mistake, blunder, and slip can be made only if knowledge about their differences is available. In previous work (Inkpen & Hirst 01) we automati-cally built a lexical knowledge base of near-synonym differences (LKB of NS). The main source of knowl-edge was a special dictionary of near-synonym dis-

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• [PDF File]Part of Speech – Verb

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  Vocabulary 8th grade – Set 6 9. Word – Jocular Part of Speech – Adjective Definition – Characterized by jokes and good humor Sentence – You just like him because of his jocular attitude. Synonym – Funny, Humorous Antonym – Serious, Solemn 10. Word – Lax Part of Speech – Adjective Definition – Lacking in rigor or strictness Sentence – He was rather lax with his discipline ...

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• [PDF File]Unsupervised Phrasal Near-Synonym Generation from Text Corpora

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  Phrasal near-synonym extraction is extremely important in domains such as natural language processing, information retrieval, text summari-zation, machine translation, and other AI tasks. Whereas finding near-synonyms for individual words or possibly very common canned phrases may involve no more than a thesaurus lookup, ...

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• Contextual In uences on Near-Synonym Choice

  uence near-synonym choice, they may do so in an author-dependent manner. Thus, at least in our domain, ‘context’ (including author) seems to be more important than semantics when choosing be-tween near-synonyms. 1 Introduction Natural Language Generation (nlg) systems must choose the words used in a generated text. This task is called ...

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• Effectiveness of Corpus in Distinguishing Two Near-Synonymous Verbs ...

  Overall, the relevant literature shows that different methods are available for researchers to study near-synonyms and they can choose the approach that best fits their goals. 2.3 Studies on English Near Synonymous Verbs In the past decades, several corpus-based approaches on near synonymous verbs have been established. In earlier

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• [PDF File]Near-Synonym Choice in Natural Language Generation

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  3 Near-synonym choice Near-synonym choice involves two steps: expand-ing the meta-concepts, and choosing the best near-synonym for each cluster according to the prefer-ences. We implemented this in a straightforward way: the near-synonym choice module computes a satisfac-tion score for each near-synonym; then satisfaction

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• [PDF File]A Corpus-Based Behavioural Profile Study of Near Synonyms

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  Thesaurus (2006); and Merriam-Webster Dictionary of Synonym (2015). Based on the examination of this set of near-synonyms, there are inadequate descriptions of which types of nouns this set of near-synonyms modify. Moreover, there is an absence of detailed information on the usage patterns of this set of near-synonyms.

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• [PDF File]LNCS 7182 - Exploring Extensive Linguistic Feature Sets in Near-Synonym ...

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  Exploring Extensive Linguistic Feature Sets in Near-Synonym Lexical Choice Mari-Sanna Paukkeri 1, Jaakko Väyrynen , and Antti Arppe2 1 Aalto University School of Science, P.O. Box 15400, FI-00076 Aalto, Finland 2 University of Helsinki, Unioninkatu 40 A, FI-00014 University of Helsinki, Finland Abstract. In the near-synonym lexical choice task, the best alternative out of a

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• [PDF File]Near-Synonymy and Lexical Choice - ACL Anthology

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  absolute synonym would fall into disuse or it would take on a new nuance of mean-ing. At best, absolute synonymy is limited mostly to dialectal variation and technical terms (underwear (AmE):pants (BrE); groundhog:woodchuck; distichous:two-ranked; ple-sionym:near-synonym), but even these words would change the style of an utterance when ...

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• [PDF File]Automatically Suggesting Example Sentences of Near-Synonyms for ...

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  Near-Synonym Set Search Interface Fig. 1a and Fig. 1d show the search interface. On the search page, learners can type in the words they want to compare easily and dynamically. In addition, GiveMeExample also offers a brief explanation of each word. The gmm &bi-lstm ag on the right

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• [PDF File]Near-Synonym Choice in an Intelligent Thesaurus - ACL Anthology

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  near-synonym that could ll in the gap. The near-synonym with the highest score is the proposed so-lution. The score for each candidate reects how well a near-synonym ts in with the context. It is based on the mutual information scores between a near-synonym and the content words in the context (we lter out the stopwords).

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• [PDF File]Near-Synonym Choice in Natural Language Generation

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  3 Near-synonym choice Near-synonym choice involves two steps: expand-ing the meta-concepts, and choosing the best near-synonym for each cluster according to the prefer-ences. We implemented this in a straightforward way: the near-synonym choice module computes a satisfac-tion score for each near-synonym; then satisfaction

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• [PDF File]Unsupervised Phrasal Near-Synonym Generation from Text Corpora

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  model: Near-Synonym System (NeSS) for finding phrasal synonyms and near synonyms that requires only a large monolingual corpus. The method is based on maximizing information-theoretic combinations of shared contexts and is parallelizable for large-scale processing. An evaluation framework with crowd-sourced judgments is proposed and

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• [PDF File]Near-Synonymy and Lexical Choice - Department of Computer Science ...

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  sionym:near-synonym), but even these words would change the style of an utterance when intersubstituted. Usually, words that are close in meaning arenear-synonyms(orplesionyms)1— almost synonyms, but not quite;very similar, but not identical, in meaning;notfully intersubstitutable, but instead varying in their shades of denotation ...

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• [PDF File]Meanings of Near-Synonyms and Their Translation Issues in the Holy Qur'ān

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  Meanings of Near-Synonyms and Their Translation Issues in the Holy Qur'ān Abdul-Qader Khaleel Mohammed Abdul-Ghafour abdul20003000@yahoo.com ... Cruse (2000) applauds that it must be always possible to affirm one near-synonym while simultaneously denying the other. Cruse asserts that the words “foggy” and “misty” are

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• [PDF File]Near-synonym Lexical Choice in Latent Semantic Space - ACL Anthology

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  fw 1;:::;w j 1;si;w j+ 1;:::;w m g contains a near-synonym si which belongs to a set of synonyms S = fs1;:::;sn g;1 i n. A FITB test case is createdbyremoving si from t,andthe context (the incomplete sentence) c = tf sig is presented to subjects with a set of possible choices S to guess which of the near-synonyms in S is the missing word.

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• [PDF File]Discriminative Training for Near-Synonym Substitution - ACL Anthology

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  score of a near-synonym, which is computed by averaging the normalized frequencies of all the n-grams containing the near-synonym, and R is the total number of n-grams containing the near-synonym. Again, the near-synonym with the highest score is the proposed answer. We herein use the 4-gram frequencies to compute n-gram

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