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[PDF] Top 20 Disambiguating Highly Ambiguous Words

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Disambiguating Highly Ambiguous Words

Disambiguating Highly Ambiguous Words

... In this paper, we continue to explore contextual representations by using neural networks to extract both topical and local contexts and combining the results of the two networks into a [r] ... See full document

22

Efficient Parsing of Highly Ambiguous Context Free Grammars with Bit Vectors

Efficient Parsing of Highly Ambiguous Context Free Grammars with Bit Vectors

... Like other CKY-style parsers, the recogniser con- sists of several nested loops. The first loop (line 3 in Fig. 1) iterates over the end positions e of con- stituents, inserts the parts of speech of the next word (lines ... See full document

7

Part of Speech Tagging of Northern Sotho: Disambiguating Polysemous Function Words

Part of Speech Tagging of Northern Sotho: Disambiguating Polysemous Function Words

... function words are not evenly distributed: some are highly frequent, others are ...many ambiguous function words appear in the context of other func- tion words; thus the local context ... See full document

8

Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision

Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision

... We present a novel enhancement of B¨orschinger et al.’s PCFG approach that uses Chen and Mooney’s lexicon learner to avoid a combinatorial explosion in the number of productions. The learned lexicon is first used to ... See full document

12

Minimized Models and Grammar Informed Initialization for Supertagging with Highly Ambiguous Lexicons

Minimized Models and Grammar Informed Initialization for Supertagging with Highly Ambiguous Lexicons

... Tag frequencies predicted on the test set. Ta- ble 4 compares gold tags to tags generated by all four methods for the frequent and highly am- biguous words the and in. Basic EM wanders far away from the ... See full document

9

Remediation of context-processing deficits in schizophrenia: preliminary data with ambiguous sentences

Remediation of context-processing deficits in schizophrenia: preliminary data with ambiguous sentences

... an ambiguous word presented in a sentence context (disambiguation task) or social scenario (context-processing remediation ...each ambiguous word. In contrast, when the sentence context is highly ... See full document

6

The Effects of Semantic Neighborhood Density on the Processing of Ambiguous Words

The Effects of Semantic Neighborhood Density on the Processing of Ambiguous Words

... an ambiguous word results in greater semantic-level competition, one possibility is that there would be an inhibitory effect for those ambiguous ...for ambiguous words with large set sizes and ... See full document

102

Generating Disambiguating Paraphrases for Structurally Ambiguous Sentences

Generating Disambiguating Paraphrases for Structurally Ambiguous Sentences

... three words shown < returned < safely form an ambiguity span in the original sentence for this ...the words involved in the ambi- guity span in the original ... See full document

11

Naming acronyms : the influence of reading context in skilled reading and surface dyslexia

Naming acronyms : the influence of reading context in skilled reading and surface dyslexia

... which words are read aloud is influenced by the context in which these words ...often highly specialized, terms they may often be novel to the ...the words in the English ...are ... See full document

34

Disambiguating Dynamic Sentiment Ambiguous Adjectives

Disambiguating Dynamic Sentiment Ambiguous Adjectives

... of words, in which most work centers on assigning a prior polarity to words or word senses in the lexicon out of ...some words, the polarity varies strongly with context, making it hard to attach ... See full document

9

Determining the most frequent senses using Russian linguistic ontology RuThes

Determining the most frequent senses using Russian linguistic ontology RuThes

... for ambiguous words based on so called "monosemous relatives" (Leacock et ...related words having only a unique ...related words for a given ambiguous word, then extract ... See full document

7

Investigation into Human Preference between Common and Unambiguous Lexical Substitutions

Investigation into Human Preference between Common and Unambiguous Lexical Substitutions

... two words’ sets of senses), demonstrating that in the vast major- ity of cases only a single sense was shared, suggest- ing it might not be a very useful ... See full document

5

Listeners and readers generalise their experience with word meanings across modalities

Listeners and readers generalise their experience with word meanings across modalities

... to ambiguous word meanings reflect (i) a modality- specific change in form-to-meaning mappings, or (ii) a modality-general change to lexical- semantic ...about words and their meanings that is gained within ... See full document

70

What is ambiguous about ambiguous goods?

What is ambiguous about ambiguous goods?

... take ambiguous – potentially commodity or cherished gift – BigWig offers Jagermeister the possibility of later reinterpreting the form of this object without changing the nature of the relationship it continues to ... See full document

25

Disambiguating Toponyms in News

Disambiguating Toponyms in News

... 13/67 (100%) Table 7. Sample Rules Learnt by Ripper TagDiscourse was a critical feature; ignoring it during learning dropped the accuracy nearly 9 per- centage points. This indicates that prior mention of a class ... See full document

8

Disambiguating Latent Variables

Disambiguating Latent Variables

... Variables considered to be manifest in one context would be considered latent in a different context if they figure in as a latent variable in a latent variable model. A latent variable model specifies the relationship ... See full document

20

Disambiguating Explicit Discourse Connectives without Oracles

Disambiguating Explicit Discourse Connectives without Oracles

... connective type. Figure 1 shows why: the distribu- tion of connectives follows a power law such that the majority of occurrences comes from relatively few but highly frequent connective types. If we do not take ... See full document

5

Ontologically Grounded Multi sense Representation Learning for Semantic Vector Space Models

Ontologically Grounded Multi sense Representation Learning for Semantic Vector Space Models

... Words are polysemous. However, most ap- proaches to representation learning for lexical semantics assign a single vector to every sur- face word type. Meanwhile, lexical ontologies such as WordNet provide a source ... See full document

11

Sanskrit Tag-sets and Part-Of-Speech Tagging Methods - A survey

Sanskrit Tag-sets and Part-Of-Speech Tagging Methods - A survey

... Most of the research have been done for English language, but English has ambiguous grammar so we need a strong and unambiguous grammar which is provided by maharishi Panini in the form of Ashtadhyayi [4]. ... See full document

6

Second language proficiency: Self-report vs. objective measures and relationship with sentential priming in the processing of interlingual homographs.

Second language proficiency: Self-report vs. objective measures and relationship with sentential priming in the processing of interlingual homographs.

... meanings on the processing of homonyms. High constraint passages were designed to strongly suggest one meaning of a homonym (e.g., the butler got the jelly, then he prepared the toast – jelly is thought to be strongly ... See full document

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