標題: Titlebook: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D; 17th China National Maosong Sun,Ting [打印本頁] 作者: minuscule 時間: 2025-3-21 18:14
書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D影響因子(影響力)
書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D影響因子(影響力)學科排名
書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D網絡公開度
書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D網絡公開度學科排名
書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D被引頻次
書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D被引頻次學科排名
書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D年度引用
書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D年度引用學科排名
書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D讀者反饋
書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D讀者反饋學科排名
作者: 侵略 時間: 2025-3-21 20:53
https://doi.org/10.1007/978-3-030-01716-3artificial intelligence; classification; information extraction; language resources; machine translation作者: Provenance 時間: 2025-3-22 01:06 作者: 任意 時間: 2025-3-22 05:39
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/225767.jpg作者: convert 時間: 2025-3-22 12:06
Reaction Patterns of the Lymph Nodeer as the minimum processing unit of the text, without using the semantic information about Chinese characters and the radicals in Chinese words. To this end, we proposed a radical enhanced Chinese word embedding in this paper. The model uses conversion and radical escaping mechanisms to extract the作者: Jogging 時間: 2025-3-22 13:20
H.-H. Wacker,H. J. Radzun,M. R. Parwaresche content of a sentence and the syntactic structures constitute the framework of a sentence. How to combine both aspects and exploit their common advantages is a challenging issue. In this paper, we propose a Principal Stylistic Features Analysis method (PSFA) to combine these two parts, and then mi作者: Jogging 時間: 2025-3-22 20:06 作者: 象形文字 時間: 2025-3-23 00:31
Antonio Laganà,Antonio Riganellineral the length proportionality assumption that the lengths of sentences in one language tend to be proportional to that of their translations, and are known to bear poor adaptivity to new languages and corpora. In this paper, we attempt to interpret this assumption from a new perspective via the n作者: TIGER 時間: 2025-3-23 05:10 作者: 慷慨援助 時間: 2025-3-23 05:35 作者: Dri727 時間: 2025-3-23 11:38
Reaction and Renewal in South Africand correlation in languages, this paper proposed the labeled bilingual topic model and co-occurrence feature based similarity metric which could be adopted to the word translation identifying task. First of all, it could assume that the keywords in the scientific literature are relevant to the abstr作者: HAIRY 時間: 2025-3-23 17:48
https://doi.org/10.1007/978-1-349-24772-1hallenging part in the translation of historical classics. However, it is tough to recognize the terms directly from ancient Chinese due to the flexible syntactic of ancient Chinese and the word segmentation errors of ancient Chinese will lead to more errors in term translation extraction. Consideri作者: 天空 時間: 2025-3-23 20:04
Automaton Mechanics of Mutualismachine translation is almost blank. In this paper, the neural machine translation model is applied to the Chinese-Tibetan machine translation task for the first time, the syntax tree is also introduced into the Chinese-Tibetan neural machine translation model for the first time, and a good translati作者: 擴大 時間: 2025-3-23 23:50 作者: 季雨 時間: 2025-3-24 05:01 作者: 壯觀的游行 時間: 2025-3-24 06:44
https://doi.org/10.1007/978-3-642-31078-2designed features, which are usually time-consuming and may lead to poor generalization. Besides, most existing systems adopt pipeline methods, which treat the task as two separated tasks, i.e., named entity recognition and relation extraction. However, the pipeline methods suffer two problems: (1) 作者: resistant 時間: 2025-3-24 13:36
Ismael Saz,Zira Box,Julián‘Sanzwhich can help modify the coreference cluster to rule out the dissimilar mention in the cluster and reduce errors caused by the global inconsistence of coreference clusters. Additionally, we tune the model from two aspects to get more accurate coreference resolution results. On one hand, the simple 作者: Conjuction 時間: 2025-3-24 15:35 作者: 埋葬 時間: 2025-3-24 21:17
Radical Enhanced Chinese Word Embeddinger as the minimum processing unit of the text, without using the semantic information about Chinese characters and the radicals in Chinese words. To this end, we proposed a radical enhanced Chinese word embedding in this paper. The model uses conversion and radical escaping mechanisms to extract the作者: eulogize 時間: 2025-3-25 00:16
Syntax Enhanced Research Method of Stylistic Featurese content of a sentence and the syntactic structures constitute the framework of a sentence. How to combine both aspects and exploit their common advantages is a challenging issue. In this paper, we propose a Principal Stylistic Features Analysis method (PSFA) to combine these two parts, and then mi作者: 新鮮 時間: 2025-3-25 06:24 作者: Measured 時間: 2025-3-25 09:18
Collaborative Matching for Sentence Alignmentneral the length proportionality assumption that the lengths of sentences in one language tend to be proportional to that of their translations, and are known to bear poor adaptivity to new languages and corpora. In this paper, we attempt to interpret this assumption from a new perspective via the n作者: 蹣跚 時間: 2025-3-25 15:39 作者: 某人 時間: 2025-3-25 17:28
Improving Low-Resource Neural Machine Translation with Weight Sharingfective for low-resource language. In order to alleviate the problem, we present two approaches which can improve the performance of low-resource NMT system. The first approach employs the weight sharing of decoder to enhance the target language model of low-resource NMT system. The second approach 作者: 食道 時間: 2025-3-25 20:23
Identifying Word Translations in Scientific Literature Based on Labeled Bilingual Topic Model and Cond correlation in languages, this paper proposed the labeled bilingual topic model and co-occurrence feature based similarity metric which could be adopted to the word translation identifying task. First of all, it could assume that the keywords in the scientific literature are relevant to the abstr作者: 復習 時間: 2025-3-26 02:07
Term Translation Extraction from Historical Classics Using Modern Chinese Explanationhallenging part in the translation of historical classics. However, it is tough to recognize the terms directly from ancient Chinese due to the flexible syntactic of ancient Chinese and the word segmentation errors of ancient Chinese will lead to more errors in term translation extraction. Consideri作者: 偏狂癥 時間: 2025-3-26 08:01 作者: strdulate 時間: 2025-3-26 11:36 作者: Misgiving 時間: 2025-3-26 16:27
Knowledge Graph Embedding with Logical Consistencygical background which is made up of a knowledge graph and a logical theory. Users must take great effort to filter consistent triples before adding new triples to the knowledge graph. To alleviate users’ burden, we propose an approach to enhancing existing embedding-based methods to encode logical 作者: lavish 時間: 2025-3-26 19:08
An End-to-End Entity and Relation Extraction Network with Multi-head Attentiondesigned features, which are usually time-consuming and may lead to poor generalization. Besides, most existing systems adopt pipeline methods, which treat the task as two separated tasks, i.e., named entity recognition and relation extraction. However, the pipeline methods suffer two problems: (1) 作者: chiropractor 時間: 2025-3-26 23:00
A Study on Improving End-to-End Neural Coreference Resolutionwhich can help modify the coreference cluster to rule out the dissimilar mention in the cluster and reduce errors caused by the global inconsistence of coreference clusters. Additionally, we tune the model from two aspects to get more accurate coreference resolution results. On one hand, the simple 作者: Collision 時間: 2025-3-27 02:29 作者: Magisterial 時間: 2025-3-27 07:53
Conference proceedings 2018um on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2018, held in Changsha, China, in October 2018...The 33 full papers presented in this volume were carefully reviewed and selected from 84 submissions. They are organized in topical sections named: Semantics; machine tr作者: 放逐 時間: 2025-3-27 09:32 作者: hereditary 時間: 2025-3-27 17:26
Antonio Laganà,Antonio Riganelliithout binding to any prior knowledge about the texts. We use one-to-one sentence alignment to illustrate this approach and implement two specific alignment methods, which are evaluated on six bilingual corpora of different languages and domains. Experimental results confirm the effectiveness of this collaborative matching approach.作者: 出處 時間: 2025-3-27 21:13
Michael A. Robb,Marco Garavelliee statistical measures: frequency (FRQ), accessor variety (AV) and description length gain (DLG). We test our approach on two translation tasks: German to English and Chinese to English. The experimental results show that AV and DLG enhanced systems outperform the FRQ baseline in the frequency weighted schemes at different significant levels.作者: colloquial 時間: 2025-3-28 00:30 作者: ellagic-acid 時間: 2025-3-28 02:41
Automaton Mechanics of Mutualismhe neural network translation model based on the completely self-attention mechanism is the best in the Chinese-Tibetan machine translation task and the BLEU score is increased by one percentage point.作者: Macronutrients 時間: 2025-3-28 08:08
Emergence, Complexity and Computationwe conduct extensive experiments on a manually-labeled dataset from ACL Anthology and the results show our proposed method achieves a +3.2% improvement in accuracy compared with strong baseline methods.作者: Vital-Signs 時間: 2025-3-28 14:22 作者: 夾克怕包裹 時間: 2025-3-28 15:26 作者: Postmenopause 時間: 2025-3-28 18:55 作者: Disk199 時間: 2025-3-29 01:36
Finding Better Subword Segmentation for Neural Machine Translationee statistical measures: frequency (FRQ), accessor variety (AV) and description length gain (DLG). We test our approach on two translation tasks: German to English and Chinese to English. The experimental results show that AV and DLG enhanced systems outperform the FRQ baseline in the frequency weighted schemes at different significant levels.作者: Consequence 時間: 2025-3-29 05:14 作者: 束以馬具 時間: 2025-3-29 10:17
Research on Chinese-Tibetan Neural Machine Translationhe neural network translation model based on the completely self-attention mechanism is the best in the Chinese-Tibetan machine translation task and the BLEU score is increased by one percentage point.作者: 不真 時間: 2025-3-29 13:53
Metadata Extraction for Scientific Paperswe conduct extensive experiments on a manually-labeled dataset from ACL Anthology and the results show our proposed method achieves a +3.2% improvement in accuracy compared with strong baseline methods.作者: 領巾 時間: 2025-3-29 17:03 作者: 原告 時間: 2025-3-29 22:51 作者: Genetics 時間: 2025-3-30 00:37 作者: 記憶法 時間: 2025-3-30 07:17 作者: 不足的東西 時間: 2025-3-30 10:31 作者: assent 時間: 2025-3-30 13:56 作者: Arb853 時間: 2025-3-30 16:39
F. G. M. Kroese,W. Timens,P. Nieuwenhuisl results show that our method can effectively boost cross-domain segmentation performance. We achieve state-of-the-art results on Internet literatures datasets, and competitive results to the best reported on micro-blog datasets.作者: enfeeble 時間: 2025-3-30 21:32 作者: follicle 時間: 2025-3-31 02:09
Syntax Enhanced Research Method of Stylistic Featureshod, we finally extract some representative features which cover different aspects of styles. To verify the performance of these selected features, classification experiments are conducted. The results show that the elements selected by the PSFA method provide a significantly higher classification accuracy than other advanced methods.作者: Wallow 時間: 2025-3-31 06:02 作者: 迅速飛過 時間: 2025-3-31 10:44
A Study on Improving End-to-End Neural Coreference Resolutionout the most important word. On the other hand, the maximum width of a mention is tuned. Our experimental results show that above methods improve the performance of coreference resolution effectively.
