ライフサイエンスコーパス: sentence

1 43-86.64 wpm] compared with the largest test sentence).

2 luent language (i.e., regular use of complex sentences).

3 Comprehensive Aphasia Test: Spoken Words and Sentences).

4 andidate gene-gene relations within an input sentence.

5 across perception and rehearsal of the same sentence.

6 ons involving gene symbols co-occurring in a sentence.

7 directed acyclic graph structures from a raw sentence.

8 and selected the best match for the written sentence.

9 epresentation, word by word, into an English sentence.

10 nd were suppressed when subjects listened to sentences.

11 coordination for both neutral and emotional sentences.

12 ize speech when a participant silently mimed sentences.

13 ial model improves decoding of more concrete sentences.

14 nitially published, errors appeared in three sentences.

15 n brain activity elicited in reading natural sentences.

16 ple heard and then mentally rehearsed spoken sentences.

17 e policy margin between prison and probation sentences.

18 nd incomprehensible time-compressed auditory sentences.

19 oss-language priming between single-language sentences.

20 language while 102 participants were reading sentences.

21 y manipulating the predictability of written sentences.

22 tive during grammatical processing of spoken sentences.

23 and to the grammatical complexity of spoken sentences.

24 ich they rated the acceptability of the same sentences.

25 ontextual linguistic information provided in sentences.

26 linguistic units, such as words, phrases and sentences.

27 had dysarthria but was able to speak in full sentences.

28 rarchical levels, such as words, phrases and sentences.

29 s (102 males) either reading or listening to sentences.

30 ational status and their behavior in complex sentences.

31 One reason is that prime sentences affect multiple representational levels drivin

32 anipulated whether the couple spoke the same sentence (allowing synchrony) or different sentences (pr

33 of several spoken repeats of a set of 30-50 sentences, along with the contemporaneous signals from ~

34 ", or "y'know," that interrupt the flow of a sentence and fill silent moments between ordinary (non-f

35 further refined to 25 520 abstracts, 43 253 sentences and 3984 candidates by our bio-entity recogniz

36 which participants simply listened to spoken sentences and an explicit task version in which they rat

37 anguage use beyond the priming of unilingual sentences and by arguing that B&P's account should be ex

38 ver, they may not be well suited for complex sentences and for long-distance textual relations.

39 o pinpoint characteristics of weakly decoded sentences and hence identify model weaknesses to guide f

40 ecule pair using the syntactic structures of sentences and linguistics theories.

41 ings and visual word-by-word presentation of sentences and word lists to investigate how left-hemisph

42 by target (phonemes or syllables, words, and sentences) and masker type (unmodulated noise, modulated

43 ly (1) to lists of unconnected words than to sentences, and (2) in paradigms with an explicit task co

44 g task featured predictable or unpredictable sentences, and participants included people with cochlea

45 ty coding at the syllabic rate suggests that sentences are represented in memory in a more abstract f

46 Further, we investigate patterns of how sentences are reused over time.

47 orter response latencies when they rated the sentences as important to their health.

48 We used sentences as naturalistic stimuli to manipulate expectat

49 ty to linguistic content: MI was highest for sentences at the phrasal (0.8-1.1 Hz) and lexical (1.9-2

50 nterests' statement should have included the sentence 'B.M.N. is on the Scientific Advisory Board of

51 gh school attendance"; in the main text, the sentence beginning "More recently, the 1964 Civil Rights

52 ged the authority of the government" and the sentence beginning "Notably, cultural tightness" should

53 In the abstract, the sentence beginning "We next examine" should have read "a

54 5d in the sentence beginning 'Importantly, the microbiome cultured

55 the evaluation on this corpus is limited to sentence-bound relationships, which represents a fairer

56 the dominant language, and when it crossed a sentence boundary.

57 wer increased with each successive word in a sentence but decreased suddenly whenever words could be

58 10 has now been removed from these two sentences, but has been included elsewhere in the first

59 ey modulate this vocalization into words and sentences by activating the corticobulbar fibers to the

60 The meaning of a sentence can be understood, whether presented in written

61 the contextual information from surrounding sentences can be gathered to help infer the interpretati

62 The findings highlight that smaller test sentences can be read faster by patients with this AMD s

63 es is not influenced by spindles', the first sentence cited reference 30 instead of reference 29.

64 om -2.7 +/- 0.54 to -2.5 +/- 0.40; P = .90), sentence completion (from -2.3 +/- 0.21 to -2.4 +/- 0.37

65 (from 3.8 +/- 1.0 to 4.5 +/- 1.4; P < .001), sentence completion (from 3.7 +/- 1.0 to 4.3 +/- 1.4; P

66 ability of 3 covert speech paradigms: Silent Sentence Completion (SSC), category naming (CAT) and ver

67 In the sentence completion task, the first four words of the se

68 ral consequences of cerebellar tDCS during a sentence completion task.

69 itive inhibition assessment with the Hayling Sentence Completion Test (HSCT; time to completion (part

70 who successfully performed verb generation, sentence completion, and finger tapping functional MRI t

71 an bvFTD: agrammatism (p<0.017) and impaired sentence comprehension (p<0.036).

72 entence comprehension deficits (median [IQR] sentence comprehension correct: nfvPPA-PSP, 98% [80-100]

73 ay matter atrophy and a trend toward greater sentence comprehension deficits (median [IQR] sentence c

74 tigation using data from 30 diverse word and sentence comprehension experiments (481 unique participa

75 iers usually precede the head, and real-time sentence comprehension may more heavily rely on retainin

76 Sentence comprehension occurs very rapidly, and can only

77 Sentence comprehension requires that the comprehender wo

78 = x vs. 7 - 2 = x), and performed a control sentence comprehension task while undergoing fMRI.

79 Using a Go/NoGo task embedded in a sentence comprehension task, we found that negation in t

80 predict the animacy of upcoming words during sentence comprehension, and that these predictions are a

81 a role for the MD network in core aspects of sentence comprehension, such as inhibiting irrelevant me

82 variability in both unimpaired and impaired sentence comprehension.

83 Verbs in the final sentences constrained for either animate or inanimate se

84 of this article initially published, several sentences contained errors.

85 contributes particularly to the decoding of sentences containing linguistically oriented "abstract"

86 ar Crus I/II supports prediction of upcoming sentence content.

87 he SRP precedes critical words if a previous sentence context constrains the upcoming semantic conten

88 ritical words are strongly expected in their sentence context, a predictive brain response reflects m

89 locked to visually presented target words in sentence contexts manipulating lexical/conceptual semant

90 even farther, where sequential plosives in a sentence, corresponding effectively to a train of puffs,

91 cience will have any direct impact on how we sentence criminals, patterns are nevertheless emerging t

92 different linguistic levels (sounds, words, sentences, discourse).

93 ratives by changing only a few words in each sentence (e.g., "he" to "she" or "sobbing" to "laughing"

94 We explore using word and sentence embedding approaches for nucleotide sequences s

95 licon surveys, and then leverage an existing sentence embedding technique to embed all sequences belo

96 ing sentence has been inserted following the sentence ending "Aspergillus phytase" in the third parag

97 ical enhancement to semantically incongruent sentence endings only in high-constraint affirmative con

98 hierarchical organization, such as clauses, sentences, episodes and narratives in language.

99 ("Find the dog!") than in switched-language sentences ("Find the chien!").

100 recognizing objects labeled in same-language sentences ("Find the dog!") than in switched-language se

101 Drawing on data on all individuals sentenced for a felony in Michigan between 2003 and 2006

102 medical entities (e.g. gene/proteins) in the sentences for better result visualization.

103 We score these sentences for functional information and link them with

104 e should have been placed at the end of this sentence: "For biotic replacement to occur, taxa must be

105 Over 500 000 sentences from 18 542 papers contain microRNA names.

106 830 autoantigen-related abstracts and 94 313 sentences from PubMed using the keywords of either 'auto

107 eeded by supervised learning on treebanks of sentences hand labeled for this latent structure.

108 next monomer in the sequence(10-12)."; this sentence has been further amended to indicate multiple m

109 The following sentence has been inserted following the sentence ending

110 Finally, the sentence "Hence, consistent with the finding that the le

111 In addition, the sentence, "However, the more commonly used system 2 (75

112 he semantic relationships between terms in a sentence (i.e., they consider only the structural relati

113 he semantic relationships between terms in a sentence (i.e., they consider only the structural relati

114 sual selective attention was associated with sentence identification in the presence of spatially sep

115 The lack of sentence identity coding at the syllabic rate suggests t

116 ons, primarily in the beta range, represents sentence identity in working memory.

117 as the most prominent information carrier of sentence identity.

118 Instead, the full effect is found only for sentences, implicating compositional processes of senten

119 en two groups of participants heard the same sentence in a narrative, preceded by different contexts,

120 We would like to correct the sentence in our Letter "However, both our detailed compu

121 ve been "0.20 mg/mL." In addition, the first sentence in Step 33 should have read "Use a second pipet

122 ess, we found that we need add the following sentence in the manuscript within the Acknowledgement se

123 s cited incorrectly at the end of the second sentence in the second paragraph ("...were identified(2)

124 ed PICO is widely used, which identifies the sentences in a given medical text that belong to the fou

125 f observed actions and corresponding written sentences in an overlapping way, but these representatio

126 sts its users to quickly browse the returned sentences in context and/or further filter search result

127 ical recordings in participants who maintain sentences in memory identify the phase of left frontotem

128 nal /s, z/ detection, the intelligibility of sentences in noise, and subjective benefit, for people w

129 All experiments used sentences in same-spectrum noise, with two intervals on

130 lobe alpha activity we analyzed responses to sentences in seven human adults (4 female) with epilepsy

131 ur results show that the practice of parsing sentences in specific directions due to the syntax and w

132 guistic restorative processes observed after sentences in such studies might not be available to list

133 Med and PMC content with over a half-billion sentences in total.

134 In the first paragraph, at the end of the sentence "In iterative synthesis, specific monomers are

135 Completion of predictive sentences increased activation in right Crus I/II of the

136 Also, the sentence "Interestingly, the PI associated with the peak

137 In this Letter, '>=' should be '<=' in the sentence: "Intra-chromosomal reads were further split in

138 egion, we tested whether silent rehearsal of sentences involved reactivation of sentence-specific rep

139 ocessing of semantic alternatives in negated sentences is further supported by a negative-going event

140 interval from the presentation of the final sentence item.

141 n, 7 men) listened to naturally spoken Dutch sentences, jabberwocky controls with morphemes and sente

142 l incarcerated persons irrespective of their sentence length provided maximum health benefits-prevent

143 e Spanish prison population, irrespective of sentence length, is cost-effective and would reduce HCV

144 in a recurrent neural network to encode each sentence-length sequence of neural activity into an abst

145 unlimited) and treatment initiation based on sentence lengths (>6 months vs. any).

146 sentenced to probation, taking into account sentence lengths and stratifying our analysis by race.

147 core semantic interpretation capability from sentence level to discourse level.

148 fairer evaluation, as SemRep operates at the sentence level.

149 direct or indirect interactions, as well as sentence-level and document-level precision.

150 st performance gain for a combined word- and sentence-level input convolutional neural network (ws-CN

151 modulation in different CA subtypes, or for sentence-level therapy.

152 n subregions of the default mode network and sentence-like representations of conceptual relations in

153 movies/narrative), intermediate for shuffled sentences, lowest for time varying complex noise.

154 er first online publication: in the previous sentence, major was changed to minor].

155 This silly sentence makes a serious point: As humans, we can flexib

156 ibutes to decoding neural representations of sentence meaning.

157 istic knowledge of their referents to encode sentence meaning.

158 "pick") and between affirmative and negated sentence meanings.

159 completion task, the first four words of the sentence modulated the predictability of the final targe

160 istic information contained in the unfolding sentences modulates brain activity in a word-specific ma

161 The sentence "Moreover, the analysis further suggests that e

162 o could choose to view the briefly presented sentences multiple times.

163 Compared with affirmative sentences, negated ones led to medial prefrontal and mor

164 rrect meaning is communicated, such that the sentence now is: Subsequent improvements to the chemistr

165 tive synthetic methods...", and in the third sentence of that paragraph, which now starts "For exampl

166 This Article contains an error in the last sentence of the 'Variant analysis suggests they are path

167 original version of this Article, the fifth sentence of the abstract incorrectly read 'Remarkably, w

168 ed, there was an error in the second-to-last sentence of the abstract.

169 The last sentence of the Acknowledgments should have read, "The a

170 Arabidopsis by deleting parts of the coding sentence of the AFP2 gene that encodes a NINJA-domain pr

171 imers' section of the Results, and the third sentence of the Discussion.

172 The following has been added after the third sentence of the fifth paragraph of the Discussion: 'Inte

173 Finally, in the first sentence of the final paragraph of the final Results sub

174 Also, the third sentence of the first paragraph of the 'Quantile mapping

175 his Article contained an error in the second sentence of the first paragraph of the 'Quantile mapping

176 nadvertently omitted.Additionally, the third sentence of the first paragraph of the Results section e

177 reference 21, have been added to the fourth sentence of the Introduction: 'The experimental realisat

178 ndrites and somata of L5 neurons', the final sentence of the second paragraph incorrectly cited refer

179 s Article originally published, in the first sentence of the second paragraph of the Discussion secti

180 e reference citation at the end of the first sentence of the second paragraph of the subsection 'A pe

181 has also been added to the end of the first sentence of the second paragraph, which starts "Conseque

182 The first sentence of the text should refer to Table 2, but mistak

183 s in the symbols displayed in the eighteenth sentence of the third paragraph of the 'Determination of

184 than the corrected '103aa'.Also, the second sentence of the third paragraph of the Results originall

185 protein's name and a molecule's name in the sentences of biomedical abstracts can be considered as i

186 d participants), and (2) listening to spoken sentences of different grammatical complexity (both grou

187 ehavioral advantages for reversing words and sentences of varying complexity, irrespective of working

188 nt of judges with different propensities for sentencing offenders to prison.

189 fects of modifying the TFS in natural speech sentences on both speech recognition and neural coding.

190 In addition, the citation at the end of the sentence, "On a monthly basis GRACE can resolve TWS chan

191 correctly identify 25% more words in spoken sentences or digit sequences presented in high levels of

192 words should be memorized in the context of sentences or stories for better control over their meani

193 ients with ALS-FTD on category fluency and a sentence-ordering task that assesses grammar production.

194 Sentence/phrase repetition accuracy was assessed before

195 listeners using the intact and reconstructed sentences presented in quiet and against background nois

196 SRTs were measured for 65-dB SPL sentences presented in speech-weighted noise or four-tal

197 e sentence (allowing synchrony) or different sentences (preventing synchrony), and also whether the v

198 as the language system responded strongly to sentence problems, but weakly or not at all to code prob

199 e problems with responses to content-matched sentence problems.

200 Results suggest that speed of sentence processing can still be disrupted, and exertion

201 anization in the atypicals showed that their sentence processing was underpinned by left and right ne

202 e no continuous and online neural measure of sentence processing with high spatial and temporal resol

203 ed relative to unconstrained contexts during sentence processing, preceding picture presentation.

204 ask labels related to semantic associations (sentence processing, reading and verbal semantics).

205 cally involved in semantic prediction during sentence processing.

206 e to those used to measure predictability in sentence processing.

207 ion in conventional tests might overestimate sentence-processing capability.

208 Activity in this supramodal sentence-processing network starts in temporal areas and

209 s and intrinsic connectivity strength of the sentence-processing supramodal network, we show that ind

210 er than' should have been 'less than' in the sentence 'Putative regions of clustered rearrangements w

211 demonstrate that fMRI activation elicited in sentence reading is more accurately decoded when this ex

212 s view is an influential fMRI-based study of sentence reading/listening by Pinel et al. (2012), who r

213 The task differs from a traditional sentence recall task in that it involves an element of c

214 s reference should have been cited after the sentence "Recent innovations in CRISPR-Cas9-based genome

215 4)) should have been cited at the end of the sentence "Recently, photonic systems have emerged as a p

216 ) completed a dual-task paradigm including a sentence recognition (primary) task containing speech th

217 er ear, bimodal benefits remained strong for sentence recognition but were marginal for MCI.

218 In this study, sentence recognition from the Mandarin speech perception

219 esent study evaluated normal-hearing adults' sentence recognition in a two-talker masker as a functio

220 Previous work has shown that masked-sentence recognition is particularly poor when the maske

221 ts who score 50% correct or less in open-set sentence recognition test under the best aided listening

222 Sentence recognition was measured using sung speech in w

223 orks, performing a simple task with the same sentences recruits several additional networks.

224 n criminal justice to inform decisions about sentencing, release, parole, and probation.

225 re, we add another layer of bi-LSTM upon the sentence representation vectors so that the contextual i

226 pose-learning relational reasoning-processes sentences, represents their meaning, and, crucially, exh

227 n the left perisylvian cortex during delayed sentence reproduction in female and male patients underg

228 e first web-based system that specializes in sentence retrieval for biomedical literature.

229 s widely-held belief by directly looking for sentence reuse both within and between databases.

230 s human participants (both sexes) read three-sentence scenarios.

231 der representations, which were sensitive to sentence semantics, were shared across perception and re

232 of the regions analyzed was incorrect; that sentence should begin: "DNA motif-enrichment analysis of

233 3, 4." Additionally, this sentence should have appeared at the beginning of the au

234 The sentence should have been "These individuals were highly

235 The following sentence should have been included in the acknowledgment

236 versity is her previous affiliation, and the sentence should have been, "Sandra Geurts, an epidemiolo

237 The sentence should have read: "Fishery changes were underpi

238 low for backward speech and intermediate for sentence shuffle.

239 audio-movie clips, an auditory narrative, a sentence shuffled version of the narrative (maintaining

240 eech; these patterns transformed to distinct sentence-specific representations during mental rehearsa

241 earsal of sentences involved reactivation of sentence-specific representations established during per

242 spectral or temporal dimensions of auditory sentence spectrograms to assess how well visual speech f

243 They then heard two sentences spoken that differed only in pitch and/or dura

244 1d' in the sentence starting "By contrast, the anti-tumour response

245 1e' has been corrected to 'Fig. 1d' in the sentence starting "By contrast, the anti-tumour response

246 eleased' should have been 'regulated' in the sentence starting: 'Deletion of Atg5 in the host similar

247 In this Letter, the sentence starting: 'For instance, Tribolium and Drosophi

248 g has traditionally relied on single word or sentence stimuli.

249 tion processes, their modulation by negative sentences strongly suggests that negation uses neural re

250 so the grammar must be a network and so must sentence structure.

251 c markers such as word choice, utterance and sentence structures can potentially serve as preclinical

252 error has been corrected on page five in the sentence: Subsequent improvements to the chemistry of th

253 One Sentence Summary: A gene therapy approach for Alzheimer'

254 The start point of this study was the sentence that a patient used: 'my pains had gone with MR

255 In the sentence that started "Fishery changes were underpinned.

256 10 should not have been cited in the sentence that starts "Moreover, solid-phase synthesis is

257 fy that it should not have been cited in the sentence that starts "Polymer chemists have employed str

258 onal term-weighting approach that up-weights sentences that contain more of the rare terms in the use

259 brain surface while participants listened to sentences that varied in intonational pitch contour, pho

260 Participants reported that they would sentence the immigrant to more jail time than the immigr

261 In the sentence "The carbon-sink-maximizing portfolio has a sma

262 meaning (signaling output) through complex "sentences" (the ncRNA interactor networks).

263 In this sentence, the final phrase "to identify carriers of firs

264 As a result, in the following two sentences, the number of flakes has been changed from 19

265 In some sentences, the preceding context strongly predicted the

266 The sentences themselves, and word clouds built from them, p

267 disease should not have been included in the sentence "These individuals were highly exposed to Mtb b

268 ockwise' should have been 'clockwise' in the sentence 'This conformational change of the ECD triggers

269 The word 'with' has been removed from this sentence to ensure the correct meaning is communicated,

270 Being sentenced to prison had no significant effects on arrest

271 door." However, it is unclear whether being sentenced to prison itself has a causal effect on the pr

272 To examine the causal effect of being sentenced to prison on subsequent offending and reimpris

273 Results show that being sentenced to prison rather than probation increases the

274 etween 2003 and 2006, we compare individuals sentenced to prison to those sentenced to probation, tak

275 on of violent crime committed by individuals sentenced to prison with those of individuals sentenced

276 entenced to prison with those of individuals sentenced to probation using a natural experiment based

277 are individuals sentenced to prison to those sentenced to probation, taking into account sentence len

278 The sentence "To dissect complex genetic interactions in C.

279 , allowing approximate reconstruction of the sentence tree structures normally assumed by linguists.

280 nces, implicating compositional processes of sentence understanding, a striking and unique feature of

281 nd resolution (match vs error) processing in sentence understanding.SIGNIFICANCE STATEMENT Most neuro

282 Although sentences unfold sequentially, one word at a time, most

283 As a sentence unfolds, we use prior context (sentential const

284 iven a query, LitSense returns best-matching sentences using both a traditional term-weighting approa

285 sion of this article originally published, a sentence was erroneously included in the author contribu

286 Article originally published, the following sentence was missing from the Acknowledgements: "This wo

287 The TFS of natural speech sentences was modified by distorting the phase and maint

288 e verb-DO noun relationship in simple spoken sentences, we applied multivariate pattern analysis and

289 Sentences were filtered into two bands centered at 500 H

290 gly predicted the target word, whereas other sentences were nonpredictive.

291 In Table 2, the following three sentences were removed from the legend 'The last two cal

292 psy were instructed to overtly explain, in a sentence, 'what is in the image (subject)', 'doing what

293 h amusia (N = 15) and controls (N = 15) read sentences where a comma indicated a grammatical phrase b

294 Participants saw videos of a person saying sentences where the last word was either sententially co

295 esponse for predictable versus unpredictable sentences, which would suggest reduced cognitive load re

296 and incongruent visual animations and spoken sentences while measuring their neural response using el

297 ed and repeated neutral and emotional spoken sentences with accompanying facial expressions.

298 Sentences with modified TFS were then used to evoke neur

299 eas neurotypical children produced emotional sentences with strong cross-modal coordination and produ

300 ross-modal coordination and produced neutral sentences with weak cross-modal coordination, autistic c