派博傳思國際中心

標(biāo)題: Titlebook: Chinese Language Resources; Data Collection, Lin Chu-Ren Huang,Shu-Kai Hsieh,Peng Jin Book 2023 Springer Nature Switzerland AG 2023 languag [打印本頁]

作者: 風(fēng)俗習(xí)慣    時(shí)間: 2025-3-21 16:53
書目名稱Chinese Language Resources影響因子(影響力)




書目名稱Chinese Language Resources影響因子(影響力)學(xué)科排名




書目名稱Chinese Language Resources網(wǎng)絡(luò)公開度




書目名稱Chinese Language Resources網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Chinese Language Resources被引頻次




書目名稱Chinese Language Resources被引頻次學(xué)科排名




書目名稱Chinese Language Resources年度引用




書目名稱Chinese Language Resources年度引用學(xué)科排名




書目名稱Chinese Language Resources讀者反饋




書目名稱Chinese Language Resources讀者反饋學(xué)科排名





作者: 忍耐    時(shí)間: 2025-3-21 23:03

作者: 改良    時(shí)間: 2025-3-22 02:45

作者: 散布    時(shí)間: 2025-3-22 05:18
Reaktive Sauerstoffspezies in der Medizing of Chinese texts. While this goal is within reach, it has yet to be attained even after more than 30?years of Chinese language processing research. Most recent achievements in Chinese adopt either stochastic or deep learning models that rely heavily on the availability of training data. As such, t
作者: bifurcate    時(shí)間: 2025-3-22 08:51

作者: Pelago    時(shí)間: 2025-3-22 16:19

作者: Pelago    時(shí)間: 2025-3-22 18:57
E. F. Elstner,W. Schütz,G. Voglll first describe the triune Chinese generalized function word usage knowledge base, which includes a usage dictionary, a usage rule base, a usage corpus, and defined function words such as adverbs, prepositions, conjunctions, auxiliaries, modal particles, and location words. With this constructed k
作者: 壕溝    時(shí)間: 2025-3-22 21:43

作者: stress-test    時(shí)間: 2025-3-23 04:23
https://doi.org/10.1007/978-3-642-71583-9nding. The major extension features include the following: (a) word senses are defined by either primitives or any well-defined concepts and conceptual relations; (b) semantic relations are explicitly expressed; (c) uniform representation of content words, function words, and phrases; (d) semantic c
作者: CRUDE    時(shí)間: 2025-3-23 08:35
https://doi.org/10.1007/978-3-642-71583-9(POS) filtering, and suffix filtering. The model first utilized the external feature of contexts to find synonyms of unknown words by training the contexts with word embedding and then detected the semantic categories of these synonyms in ., a Chinese thesaurus. Internal features such as POS and suf
作者: Constant    時(shí)間: 2025-3-23 12:01
https://doi.org/10.1007/978-3-642-71583-9 have high-quality word sense annotated corpora to test the systems. For many top-performing systems, such data is also required for training. For the English language, there are several word sense-tagged corpora in which all content words are tagged, the largest example being SemCor. To the best of
作者: 裹住    時(shí)間: 2025-3-23 15:32
https://doi.org/10.1007/978-3-642-71583-9que array of semantic properties encoded in the Mandarin verbal lexicon and propose a frame-based constructional approach that is aligned with linguistic premises in functional theories, including frame semantics, construction grammar, and cognitive grammar. Given that semantic processing pertains t
作者: 發(fā)微光    時(shí)間: 2025-3-23 21:51
Zusammenfassung der Ergebnisse und Ausblick,hinese semantic dependency scheme using solid linguistic knowledge of Chinese. Chinese is a meaning-combined language with flexible syntactic structures and complex modifying relations among words. Thus, we used dependency graphs instead of dependency trees as target representations to allow nodes t
作者: certain    時(shí)間: 2025-3-23 22:16
Zusammenfassung der Ergebnisse und Ausblick,ialogue messages with an average of 13 utterances per round. This dataset will provide a unique resource of Chinese dialogue corpora as well as a baseline for research on Chinese dialogue act classification and dialogue intent prediction. We proposed a detailed annotation scheme and annotation speci
作者: Brain-Imaging    時(shí)間: 2025-3-24 03:58

作者: demote    時(shí)間: 2025-3-24 08:54
https://doi.org/10.1007/978-3-8349-6050-4 design and the data collection and annotation procedures will be described, as will the emotion cause detection task, which aims to detect the triggering cause of an emotion automatically. We regard the detection task as a sequence labeling issue and determined whether a clause contained an emotion
作者: arterioles    時(shí)間: 2025-3-24 10:57
https://doi.org/10.1007/978-3-031-38913-9language resources; Chinese language processing; natural language processing; corpus linguistics; Chines
作者: Endearing    時(shí)間: 2025-3-24 18:52
978-3-031-38915-3Springer Nature Switzerland AG 2023
作者: NOMAD    時(shí)間: 2025-3-24 19:02

作者: flutter    時(shí)間: 2025-3-25 01:04

作者: antipsychotic    時(shí)間: 2025-3-25 04:33
Chinese Language Resources978-3-031-38913-9Series ISSN 1386-291X Series E-ISSN 2542-9388
作者: Alveoli    時(shí)間: 2025-3-25 08:45

作者: 吝嗇性    時(shí)間: 2025-3-25 15:02
DeepLEXined yet scaled multilingual lexical resource that empowers linguists to pursue a wide array of previously unanswerable research questions. Our approach expands on previous efforts and calls for an open collaboration in which lexical knowledge is semantically founded, symbolically operationalized, and empirically gleaned.
作者: Interregnum    時(shí)間: 2025-3-25 19:06

作者: DRAFT    時(shí)間: 2025-3-25 20:06

作者: FUME    時(shí)間: 2025-3-26 03:40

作者: 要素    時(shí)間: 2025-3-26 04:30
Practical and Robust Chinese Word Segmentation and PoS Taggingg of Chinese texts. While this goal is within reach, it has yet to be attained even after more than 30?years of Chinese language processing research. Most recent achievements in Chinese adopt either stochastic or deep learning models that rely heavily on the availability of training data. As such, t
作者: 不在灌木叢中    時(shí)間: 2025-3-26 08:46
Describing the Grammatical Knowledge of Chinese Words for Natural Language Processingase of Chinese words, which was developed for natural language processing, assisting the automatic analysis and generation of Chinese sentences. The overall design of the knowledge base, the classification of words, and the formal description of their grammatical functions will be outlined, and some
作者: 背叛者    時(shí)間: 2025-3-26 16:23

作者: vasospasm    時(shí)間: 2025-3-26 19:25
The Chinese Generalized Function Word Usage Knowledge Base and Its Applicationsll first describe the triune Chinese generalized function word usage knowledge base, which includes a usage dictionary, a usage rule base, a usage corpus, and defined function words such as adverbs, prepositions, conjunctions, auxiliaries, modal particles, and location words. With this constructed k
作者: LAVA    時(shí)間: 2025-3-26 22:46

作者: AGATE    時(shí)間: 2025-3-27 03:19

作者: 匍匐    時(shí)間: 2025-3-27 08:07

作者: 充氣球    時(shí)間: 2025-3-27 10:23
PKUSenseCor: A Large-Scale Word Sense Annotated Chinese Corpus have high-quality word sense annotated corpora to test the systems. For many top-performing systems, such data is also required for training. For the English language, there are several word sense-tagged corpora in which all content words are tagged, the largest example being SemCor. To the best of
作者: 無可非議    時(shí)間: 2025-3-27 14:17

作者: HAIL    時(shí)間: 2025-3-27 19:59

作者: PATRI    時(shí)間: 2025-3-28 00:34

作者: 自由職業(yè)者    時(shí)間: 2025-3-28 05:26
Automatic Construction of Parallel Dialogue Corpora with Rich Informationiting their internal structure. In this chapter, we will propose a novel strategy to automatically construct a parallel dialogue corpus by bridging two kinds of resources: movie subtitles and movie scripts. First, we collected parallel subtitles and their corresponding monolingual scripts from the I
作者: 有斑點(diǎn)    時(shí)間: 2025-3-28 10:16
A Chinese Event-Based Emotion Corpus: Emotion Cause Detection design and the data collection and annotation procedures will be described, as will the emotion cause detection task, which aims to detect the triggering cause of an emotion automatically. We regard the detection task as a sequence labeling issue and determined whether a clause contained an emotion
作者: Anemia    時(shí)間: 2025-3-28 13:50
1386-291X plore how Chinese language resources are used in current pioneering NLP research, the future challenges and their implications for computational and theoretical linguistics...?.978-3-031-38915-3978-3-031-38913-9Series ISSN 1386-291X Series E-ISSN 2542-9388
作者: 做方舟    時(shí)間: 2025-3-28 17:57

作者: Ingredient    時(shí)間: 2025-3-28 19:24

作者: 全神貫注于    時(shí)間: 2025-3-28 23:21

作者: Mumble    時(shí)間: 2025-3-29 04:02
Reaktive Sauerstoffspezies in der Medizinor segmentation, we propose a semi-supervised approach, which performs online learning with either labeled or unlabeled data. This approach adopts the word boundary decision (WBD) model and is capable of using only the bigram information of the target article to train for better performance in almos
作者: 宏偉    時(shí)間: 2025-3-29 08:26
Reaktive Sauerstoffspezies in der Medizin and annotations. In our study, we focused on how the constituents in a fossilized composition like an idiom affect semantic and grammatical properties. As an important Chinese language resource, our knowledge base of Chinese idiomatic expressions is expected to play a major role in practices such a
作者: PATRI    時(shí)間: 2025-3-29 13:20

作者: 衰弱的心    時(shí)間: 2025-3-29 17:42

作者: judicial    時(shí)間: 2025-3-29 22:38
Chinese Comprehensive Language Knowledge Basell introduce the rationale for and the process of constructing the Comprehensive Language Knowledge Base (CLKB) by the Institute of Computational Linguistics at Peking University (ICL/PKU), as well as illustrate its importance as the infrastructure for Chinese information processing (CIP) in various domains.
作者: aesthetician    時(shí)間: 2025-3-30 01:09
Introduction to CKIP’s Language Resources and Their Applicationsus, Sinica Chinese Treebank, and Chinese Sketch Engine), and online Chinese word segmentation and parsing systems. After a brief overview, we will show how some of these resources can be employed to generate natural language processing (NLP) applications using machine learning algorithms.
作者: corporate    時(shí)間: 2025-3-30 07:45
Sense Tagging Unknown Chinese Words with Word Embeddingfixes were used to filter out the semantic categories that were inconsistent with the unknown words in terms of POS and suffixes. The model then used voting to select the best sense category. Our experiments showed that the model based on a combination of external features and internal features achieved good precision in sense tagging.
作者: 演講    時(shí)間: 2025-3-30 09:25
PKUSenseCor: A Large-Scale Word Sense Annotated Chinese Corpus our knowledge, such a word sense-tagged corpus is lacking for the Chinese language. In response, a corpus called PKUSenseCor has been constructed, the details of which will be described in this chapter.
作者: 小隔間    時(shí)間: 2025-3-30 12:32

作者: Macronutrients    時(shí)間: 2025-3-30 17:48

作者: 難管    時(shí)間: 2025-3-31 00:17
Conference proceedings 1987Latest editionverall design of the knowledge base, the classification of words, and the formal description of their grammatical functions will be outlined, and some semantic issues will be discussed. From a computational perspective, the knowledge base offers new insights into the long-running introspection and exploration of grammar issues in Chinese.
作者: 復(fù)習(xí)    時(shí)間: 2025-3-31 04:16
Describing the Grammatical Knowledge of Chinese Words for Natural Language Processingverall design of the knowledge base, the classification of words, and the formal description of their grammatical functions will be outlined, and some semantic issues will be discussed. From a computational perspective, the knowledge base offers new insights into the long-running introspection and exploration of grammar issues in Chinese.
作者: 溺愛    時(shí)間: 2025-3-31 07:02
E. F. Elstner,W. Schütz,G. Voglhod, and the combined rule-based/statistics-based method, respectively. In this chapter, we will also discuss the applications of the Chinese function word usage knowledge base (CFKB) in syntactic analysis, grammar error analysis, information extraction, and Chinese deep semantic understanding.
作者: 虛假    時(shí)間: 2025-3-31 09:47

作者: 迅速飛過    時(shí)間: 2025-3-31 17:04

作者: 前面    時(shí)間: 2025-3-31 17:41

作者: Kidney-Failure    時(shí)間: 2025-4-1 00:33

作者: 進(jìn)步    時(shí)間: 2025-4-1 03:33

作者: 公式    時(shí)間: 2025-4-1 06:18

作者: Eclampsia    時(shí)間: 2025-4-1 13:31

作者: 墻壁    時(shí)間: 2025-4-1 16:33





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