ライフサイエンスコーパス: sentence

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

2 the grammatical relations between words in a sentence.

3 rticular semantic relation from a particular sentence.

4 ial in which they repeated back the previous sentence.

5 erbs and for earlier than later words in the sentence.

6 e can be highly predictive of the end of the sentence.

7 andidate gene-gene relations within an input sentence.

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

9 oss-language priming between single-language sentences.

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

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

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

13 able to modulate vocalization into words and sentences.

14 negative sentences compared with affirmative sentences.

15 "who did what to whom" in visually presented sentences.

16 her the sound envelope derived from words or sentences.

17 language while 102 participants were reading sentences.

18 overall rate of false conviction among death sentences.

19 s as they listened to standard (undistorted) sentences.

20 eech utterances such as syllables, words, or sentences.

21 8 QALYs, respectively, for persons with long sentences.

22 ted cost-effectiveness for persons with long sentences.

23 ivity instead decreased for more predictable sentences.

24 y manipulating the predictability of written sentences.

25 ial consequences and occasionally, custodial sentences.

26 on empirically determined characteristics of sentences.

27 on the features derived from the individual sentences.

28 ith processing idiomatic compared to literal sentences.

29 tive during grammatical processing of spoken sentences.

30 and to the grammatical complexity of spoken sentences.

31 ich they rated the acceptability of the same sentences.

32 ontextual linguistic information provided in sentences.

33 nd incomprehensible time-compressed auditory sentences.

34 the text corpus, we used 119 085 682 MEDLINE sentences (21 354 075 citations).

35 ive learning with SVM trained on 500 labeled sentences (6% of the corpus) performs surprisingly well

36 For each word in a sentence, a trained classifier predicts whether the word

37 c, efficiently computable characteristics of sentences about biomolecular interactions were analyzed

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

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

40 cation of the sentence, the discourse of the sentence and the functional terminology in it.

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

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

43 g state and during production of symptomatic sentences and asymptomatic finger tapping in spasmodic d

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

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

46 listeners with acoustically altered natural sentences and fully synthetic sentences with systematica

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

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

49 rieval system, designed to retrieve and rank sentences (and their documents) conveying gene-centric r

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

51 nce structure without meaning ("Jabberwocky" sentences) and word meaning without sentence structure (

52 plemented to tag key terms, drug interaction sentences, and drug interaction pairs.

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

54 erved during free recall of previously heard sentences, and related to measures of recall accuracy.

55 n both hemispheres, while subjects listen to sentences, and show that information travels in each dir

56 Subjects heard factual sentences, and subsequent retrieval performance indicate

57 ue using empirically derived knowledge about sentences, and was applied to the MEDLINE literature col

58 related to greater success in encoding heard sentences; and that this was also associated with greate

59 lie your ability to read and understand this sentence are unknown.

60 Sentences are retrieved across species but the species d

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

62 inguistic representations, such as words and sentences, are formed.

63 increases monotonically over the course of a sentence as people read it.

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

65 We used sentences as naturalistic stimuli to manipulate expectat

66 se Test than with Mandarin speech perception sentences at the normal rate.

67 of three simultaneously presented stimuli: a sentence (at one of four acoustic clarity levels), an au

68 ies (enzymes and metabolites) within a given sentence based on the presence and location of stemmed k

69 vanced search, which goes beyond document or sentence-based retrieval.

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

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

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

73 he context provided by the initial part of a sentence can be highly predictive of the end of the sent

74 non in spoken language, because all words or sentences can be produced as expressions of varying emot

75 hat in English the last bisyllabic word in a sentence carries the dominant cues (F0, duration, and in

76 The conclusions we reach about the sentence characteristics investigated in this work, as w

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

78 ed the task of CoreSC annotation both from a sentence classification as well as sequence labelling pe

79 d for NoGo trials in the context of negative sentences compared with affirmative sentences.

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

81 ed risk allele) on brain activation during a sentence completion task that differentiates individuals

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

83 ap these cognitive processes within the same sentence completion task.

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

85 ctivation during the baseline condition than sentence completion.

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

87 However, we argue that other processes in sentence comprehension also fundamentally constrain the

88 show that the neural substrates of word and sentence comprehension are dissociable and that a circum

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

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

91 Reports of combined word and sentence comprehension impairments in Wernicke's aphasia

92 The most severe sentence comprehension impairments were associated with

93 aphasia is characterized by severe word and sentence comprehension impairments.

94 poral cortex, a pattern of atrophy that left sentence comprehension intact.

95 cortical area equally critical for word and sentence comprehension is unlikely to exist anywhere in

96 Sentence comprehension occurs very rapidly, and can only

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

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

99 an) noisy-channel language comprehender in a sentence comprehension task: (i) semantic cues should pu

100 This sentence comprehension tasks activated mainly prefrontal

101 trols, "visual" cortex is more active during sentence comprehension than during a sequence memory tas

102 A complete theory of human sentence comprehension therefore needs to explain how hu

103 intact and cause inconsistent impairments of sentence comprehension.

104 ects of happy and sad moods on discourse and sentence comprehension.

105 eed and thus impose a temporal bottleneck on sentence comprehension.

106 ntial OLD/NEW effect was limited to the same sentence condition and may thus reflect speech-dependent

107 ference due to memory was unaffected by test sentence condition and may thus reflect the acquisition

108 t voice representations, we compared a "same sentence" condition, in which speakers repeated the stud

109 e study utterances at test, and a "different sentence" condition.

110 s and patients with bvFTD were impaired with sentences containing a centre-embedded subordinate claus

111 In two experiments, children and adults read sentences containing a temporary syntactic ambiguity whi

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

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

114 witching overrides these lexico-semantic and sentence context factors.

115 hending a language (or code) switch within a sentence context triggers 2 electrophysiological signatu

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

117 are presented in the form of a heat map and sentences corresponding to specific cells of the heat ma

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

119 The high rate of exoneration among death-sentenced defendants appears to be driven by the threat

120 n by the threat of execution, but most death-sentenced defendants are removed from death row and rese

121 this effect, and estimate that if all death-sentenced defendants remained under sentence of death in

122 s mentioned in MEDLINE(R); citations and the sentences describing a novel function.

123 ic stories to test the hypothesis that multi-sentence, discourse-level predictions are processed in t

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

125 igated eye movement performance when reading sentences displayed as normal and when the spatial frequ

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

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

128 In the summarization task, sentences extracted from particular zones are significan

129 The most discriminative features are local sentence features such as unigrams, bigrams and grammati

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

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

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

133 recorded while 17 native signers watched ASL sentences for comprehension.

134 previously been reported that around 13% of sentences found in biomedical research articles contain

135 successfully retrieved relevant gene-centric sentences from PubMed records.

136 830 autoantigen-related abstracts and 94 313 sentences from PubMed using the keywords of either 'auto

137 ted as aggravating and significantly reduced sentencing (from 13.93 years to 12.83 years).

138 ug therapy was feasible; for those with long sentences (>/=1.5 years; mean, 10 years), all strategies

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

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

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

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

143 udge which of the two intervals containing a sentence in speech-spectrum noise presented over headpho

144 Human participants read action-related sentences in affirmative or negative form ("now you will

145 ts to rate speaker dissimilarity in pairs of sentences in English or Mandarin that were first time-re

146 nomes and extracted tags mentioned in 30,891 sentences in main text and 20,489 rows in tables.

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

148 Difficulty with centre-embedded sentences in other PPA variants was related to other bra

149 Vector Machine) to identify characters from sentences in prokaryotic taxonomic descriptions, followe

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

151 to an improved ability to comprehend spoken sentences in speech babble noise.

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

153 Listening to sentences in the context of a listen-repeat task was exp

154 ral substrates as participants generated new sentences in the scanner.

155 e proportion of false conviction among death sentences in the United States.

156 Evidence presented at sentencing in support of a biomechanical cause of the co

157 eners heard and repeated back 4-band-vocoded sentences (in which the temporal envelope of the acousti

158 ding the meaning of the word relative to the sentence) in sentence processing studies and often show

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

160 In the second case sentences indicating relevant associations were found in

161 ehension task: (i) semantic cues should pull sentence interpretation towards plausible meanings, espe

162 (e.g., Mandarin), while others pack a whole sentence into a single word (e.g., Cayuga).

163 Reading sentences involves a distributed network of brain region

164 with bvFTD were also impaired understanding sentences involving short-term memory.

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

166 nce between syntactically related words in a sentence--is minimized.

167 pared with no treatment; for those with long sentences, it dominated other treatments, costing $28,80

168 interval from the presentation of the final sentence item.

169 In the third sentences led to new research questions about the plant

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

171 een developed, but most of them focus on the sentence level association extraction with performance e

172 n 10% in F-measure when compared against the sentence level association extraction.

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

174 ting the recognition of 11 categories at the sentence level, which we call Core Scientific Concepts (

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

176 work into specialized subnetworks supporting sentence-level semantic analysis and phonological proces

177 cted a software system to search MEDLINE for sentences likely to describe interactions between given

178 For inmates with short remaining sentences (<1.5 years), only no treatment or sofosbuvir

179 ccuracy was measured using naturally uttered sentences matched for their syntactic structures.

180 ) facilitate decoding of structure-dependent sentence meaning ("Who did what to whom?") and (ii) pred

181 ge, a necessary process in the generation of sentence meaning.

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

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

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

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

186 for agreement violations and for grammatical sentences (no agreement by distance interaction).

187 ll death-sentenced defendants remained under sentence of death indefinitely, at least 4.1% would be e

188 The target word in the last sentence of each story was globally congruent or incongr

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

190 The last sentence of the section titled "L-Thyroxine Monotherapy

191 Adult male and female offenders serving sentences of 2 or more years for a sexual or violent off

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

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

194 ro6 words are needed to comprise a readable "sentence" of CTD information.

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

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

197 ng these relationships from natural language sentences on such a large scale, however, requires text

198 BOLD responses for predictive images before sentence onset, suggesting that highly predictable conte

199 white ethnic origin, prison type, and a life sentence or being unsentenced; in female inmates, commit

200 they were boosted with signals from MEDLINE sentences or abstracts.

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

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

203 Features are derived from the sentences or using mechanisms to augment the information

204 luded that children and adults have the same sentence-parsing mechanism in place, but that it operate

205 Humans can understand spoken or written sentences presented at extremely fast rates of approxima

206 be the brain responses to spoken and written sentences presented at five compression rates, ranging f

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

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

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

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

211 e electrophysiological correlates of on-line sentence processing in an attempt to clarify the time-co

212 shment of agreement overall, consistent with sentence processing models which predict that hierarchic

213 ing of the word relative to the sentence) in sentence processing studies and often show differences f

214 Sentence processing theories typically assume that the i

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

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

217 cally involved in semantic prediction during sentence processing.

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

219 Various models of human sentence production and comprehension predict that long

220 with simultaneous impairments of grammatical sentence production and word comprehension displayed foc

221 During the sentence production task, patients showed increased dopa

222 brain activity during the resting state and sentence production was analyzed using functional networ

223 nic hand and an unrelated asymptomatic task, sentence production.

224 column, third complete paragraph, the second sentence read, "As with any other product that claims to

225 the first column, last paragraph, the second sentence read, "Because medication may be a component of

226 th the sound envelope of single words versus sentences read aloud or mentally by the patients.

227 epileptic human patients performing natural sentence reading and analyzed long-range corticocortical

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

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

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

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

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

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

234 lds were significantly correlated with aided sentence recognition scores for the 27 hearing impaired

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

236 etection test and the traditional best-aided sentence recognition test was fairly consistent.

237 Sentence recognition was measured using sung speech in w

238 Results showed that sentence recognition was poorer with sung speech relativ

239 tute of Electrical and Electronics Engineers sentence recordings.

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

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

242 earch in building new document retrieval and sentence retrieval systems.

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

244 learning can be used to automate the task of sentence selection for GeneRIF annotation.

245 ved from MEDLINE sentences to determine if a sentence should be selected for GeneRIF indexing.

246 rinciple"; such nonliteral interpretation of sentences should (iii) increase with the perceived noise

247 Consistent with previous findings, idiomatic sentences showed increased response in LIFG.

248 s you might experience it while reading this sentence, silent reading often involves an imagery speec

249 atterns in a systematic manner, (2) applying sentence simplification to improve the coverage of extra

250 For persons with short sentences, sofosbuvir cost $25,700 per QALY gained compa

251 several hundreds of hand-annotated training sentences specific to the domain in question.

252 performance of existing tools for performing sentence splitting, tokenization, syntactic parsing, and

253 normal-hearing (NH) listeners' production of sentences spoken as questions or statements confirmed th

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

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

256 erwocky" sentences) and word meaning without sentence structure (word-lists), showing that this effec

257 Response increases are lower for sentence structure without meaning ("Jabberwocky" senten

258 t, overcoming differences in word choice and sentence structure.

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

260 have constructed, which represent the common sentence structures typically used to state microRNA exp

261 had selective difficulty understanding cleft sentence structures, while all PPA variants and patients

262 was higher for same compared with different sentences, substantial voice learning also occurred for

263 In Experiment 2, participants read sentences such as, 'I think I'll wear the new skirt I bo

264 In Experiment 1, participants read sentences such as, 'The boy poked the elephant with the

265 160-item environmental sound test, word and sentence tests, and a battery of basic auditory abilitie

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

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

268 Twelve participants heard sentences that were either constrained ("She locked the

269 , thirty-six healthy adult volunteers viewed sentences that were either literal or idiomatic in natur

270 ed work, which considers the location of the sentence, the discourse of the sentence and the function

271 In some sentences, the preceding context strongly predicted the

272 eraction-indicating terms appearing in those sentences, then ranks those terms based on their likelih

273 ny minority of cases in which defendants are sentenced to death.

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

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

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

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

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

279 l features extracted or derived from MEDLINE sentences to determine if a sentence should be selected

280 the human auditory cortex during encoding of sentences to episodic memory.

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

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

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

284 his selectivity itself seems to sharpen as a sentence unfolds.

285 Written materials <10 sentences, videos <2 minutes, and materials clearly dire

286 ecognition of Mandarin Hearing in Noise Test sentences was also measured.

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

288 Sentences were filtered into two bands centered at 500 H

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

290 ize the same system in healthy participants, sentences were presented to them as three-channel noise-

291 imaging to assess the degree to which spoken sentences were processed under distraction, and whether

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

293 language processing system from 122,421,765 sentences, which came from 21,014,382 MEDLINE citations

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

295 ons of interest are contrasted to a baseline sentence with a preferred semantic ending.

296 Sentences with modified TFS were then used to evoke neur

297 d that these occipital areas respond more to sentences with syntactic movement but do not respond to

298 ltered natural sentences and fully synthetic sentences with systematically manipulated pitch, formant

299 During scanning, participants heard simple sentences, with each listening trial followed immediatel

300 l voice learning also occurred for different sentences, with recognition performance increasing acros