標(biāo)題: Titlebook: Natural Language Processing and Chinese Computing; 7th CCF Internationa Min Zhang,Vincent Ng,Hongying Zan Conference proceedings 2018 Sprin [打印本頁] 作者: Hallucination 時(shí)間: 2025-3-21 17:56
書目名稱Natural Language Processing and Chinese Computing影響因子(影響力)
書目名稱Natural Language Processing and Chinese Computing影響因子(影響力)學(xué)科排名
書目名稱Natural Language Processing and Chinese Computing網(wǎng)絡(luò)公開度
書目名稱Natural Language Processing and Chinese Computing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Natural Language Processing and Chinese Computing被引頻次
書目名稱Natural Language Processing and Chinese Computing被引頻次學(xué)科排名
書目名稱Natural Language Processing and Chinese Computing年度引用
書目名稱Natural Language Processing and Chinese Computing年度引用學(xué)科排名
書目名稱Natural Language Processing and Chinese Computing讀者反饋
書目名稱Natural Language Processing and Chinese Computing讀者反饋學(xué)科排名
作者: MEET 時(shí)間: 2025-3-21 23:58 作者: homeostasis 時(shí)間: 2025-3-22 03:32
Chuanqi Tan,Furu Wei,Qingyu Zhou,Nan Yang,Weifeng Lv,Ming Zhou作者: otic-capsule 時(shí)間: 2025-3-22 07:59 作者: Visual-Acuity 時(shí)間: 2025-3-22 11:36
Fan Yang,Jianhu Zhang,Gongshen Liu,Jie Zhou,Cheng Zhou,Huanrong Sun作者: ANTIC 時(shí)間: 2025-3-22 15:08
al weakness to another. This minimizes the energy needed for break-up of the continents. Harmonization of local variations of spreading ridge orientation with the overall regional extension thus determines the original rift geometry. Such a control of old continental lineaments over the segmentation作者: Cloudburst 時(shí)間: 2025-3-22 19:13 作者: 象形文字 時(shí)間: 2025-3-23 00:48
Yang Li,Qingliang Miao,Ji Geng,Christoph Alt,Robert Schwarzenberg,Leonhard Hennig,Changjian Hu,Feiyusolidation of thick slurries involves the presence of forces not taken into account by the kinematical model. Careful observations of batch settling of flocculated suspensions have shown that two distinguishable zones appear in the settling column separated by a discontinuity. The upper zone, lastin作者: BOON 時(shí)間: 2025-3-23 02:20
Hao Wang,Xiaodong Zhang,Houfeng Wangsediments are negatively skewed and finer sediments are positively skewed. In monsoon,?>60% of the sediments is platykurtic or leptokurtic in nature which indicates the high energy environment in this season. Proportion of sand, silt and clay in sediments ranges between 38–91%, 4–61% and 1–41% respe作者: 鍵琴 時(shí)間: 2025-3-23 07:07
rs 1973 and 2016. . and . of sedimentation in the lower reach are explained and understood with the detailed study of channel forms and patterns, stream hydraulics, tidal character, sediment load, sediment grain size and related critical and available shear stress and identification of the environme作者: 笨拙處理 時(shí)間: 2025-3-23 09:57 作者: GENUS 時(shí)間: 2025-3-23 14:51
Feiliang Ren,Yongcheng Li,Rongsheng Zhao,Di Zhou,Zhihui Liuend in concentration in sediments. . (.) indicates that five Eigen values contribute for about 83.154% of the total variation of the distribution of minerals. The minerals discharged from the upper catchment are captured in the estuary and again redistributed towards upstream by stronger flood tide.作者: ticlopidine 時(shí)間: 2025-3-23 19:13 作者: 是貪求 時(shí)間: 2025-3-23 22:59 作者: Receive 時(shí)間: 2025-3-24 03:42 作者: 難管 時(shí)間: 2025-3-24 08:24
ProjR: Embedding Structure Diversity for Knowledge Graph Completionons by defining a unique combination operator for each relation. In ProjR, the input head entity-relation pairs with different relations will go through a different combination process. We conduct experiments with link prediction task on benchmark datasets for knowledge graph completion and the expe作者: 呼吸 時(shí)間: 2025-3-24 12:27
: A Bi-Channel Tree Convolution Based Neural Network Model for Relation Classification fed into a series of linear transformation operations to get the final relation classification result. Our method integrates syntactic tree features and convolutional neural network architecture together and elaborates their advantages fully. The proposed method is evaluated on the SemEval 2010 dat作者: Defraud 時(shí)間: 2025-3-24 18:14 作者: lavish 時(shí)間: 2025-3-24 21:23 作者: 原來 時(shí)間: 2025-3-25 02:35 作者: Ardent 時(shí)間: 2025-3-25 05:30 作者: Infraction 時(shí)間: 2025-3-25 10:07
https://doi.org/10.1007/978-3-319-99495-6artificial intelligence; classification; databases; information retrieval; information theory; knowledge 作者: Inexorable 時(shí)間: 2025-3-25 15:27 作者: 空中 時(shí)間: 2025-3-25 17:15
.11) of sedimentation of flocculated suspensions or sedimentation with compression. By a series of examples, the behavior of suspension and sediment which is predicted for batch and continuous sedimentation processes is visualized. The principal objective of the presentation of these examples (see a作者: septicemia 時(shí)間: 2025-3-25 20:46
Yang Li,Qingliang Miao,Ji Geng,Christoph Alt,Robert Schwarzenberg,Leonhard Hennig,Changjian Hu,Feiyuticles. It predicts that within the suspension, the lines of equal concentration in the .-.-plane are straight lines (Kynch 1952, Bustos and Concha 1988a, Concha and Bustos 1991). Unfortunately, the published experimental evidence on the distribution of concentration during batch sedimentation of fl作者: 幾何學(xué)家 時(shí)間: 2025-3-26 03:46
Hao Wang,Xiaodong Zhang,Houfeng Wang sediment samples (60 samples in each season) have been collected from the lower reach of the Rupnarayan River and sieving technique is used to calculate different size parameters. Approximately, 63.80% of the sediments are very fine sand, 14.76% are fine sand and 21.44% are coarse silt type. Sedime作者: Phonophobia 時(shí)間: 2025-3-26 05:24 作者: Confidential 時(shí)間: 2025-3-26 09:14 作者: Dictation 時(shí)間: 2025-3-26 15:23
Feiliang Ren,Yongcheng Li,Rongsheng Zhao,Di Zhou,Zhihui Liumechanisms of sedimentation. A total of 21 sediment samples (13 samples from river bed and 8 samples from river banks) have been collected for knowing the sediment mineralogy. Sediment samples are washed by boiled distilled water, dried, disintegrated and scanned at an interval of 7°–45°2θ in XPERT-作者: Kidnap 時(shí)間: 2025-3-26 20:32 作者: 無目標(biāo) 時(shí)間: 2025-3-27 00:37 作者: Suggestions 時(shí)間: 2025-3-27 04:00 作者: 壯觀的游行 時(shí)間: 2025-3-27 08:19 作者: 神秘 時(shí)間: 2025-3-27 10:18
From Plots to Endings: A Reinforced Pointer Generator for Story Ending Generatione a framework consisting of a Generator and a Reward Manager for this task. The Generator follows the pointer-generator network with coverage mechanism to deal with out-of-vocabulary (OOV) and repetitive words. Moreover, a mixed loss method is introduced to enable the Generator to produce story endi作者: Forage飼料 時(shí)間: 2025-3-27 17:12
A3Net:Adversarial-and-Attention Network for Machine Reading Comprehensionwo perspectives. First, adversarial training is applied to several target variables within the model, rather than only to the inputs or embeddings. We control the norm of adversarial perturbations according to the norm of original target variables, so that we can jointly add perturbations to several作者: 天真 時(shí)間: 2025-3-27 21:21 作者: 廢止 時(shí)間: 2025-3-27 22:17 作者: 彎腰 時(shí)間: 2025-3-28 03:37
Learning to Converse Emotionally Like Humans: A Conditional Variational Approachnt research hotspot. Although several emotional conversation approaches have been introduced, none of these methods were able to decide an appropriate emotion category for the response. We propose a new neural conversation model which is able to produce reasonable emotion interaction and generate em作者: Devastate 時(shí)間: 2025-3-28 06:49
Response Selection of Multi-turn Conversation with Deep Neural Networkss, the task is to choose the most reasonable response for the context. It can be regarded as a matching problem. To address this task, we propose a deep neural model named RCMN which focus on modeling relevance consistency of conversations. In addition, we adopt one existing deep learning model whic作者: Fillet,Filet 時(shí)間: 2025-3-28 10:54
Learning Dialogue History for Spoken Language Understandingesentations. SLU usually consists of two parts, namely intent identification and slot filling. Although many methods have been proposed for SLU, these methods generally process each utterance individually, which loses context information in dialogues. In this paper, we propose a hierarchical LSTM ba作者: 無可爭辯 時(shí)間: 2025-3-28 18:31 作者: 手銬 時(shí)間: 2025-3-28 20:55 作者: Neuropeptides 時(shí)間: 2025-3-29 02:48
: A Bi-Channel Tree Convolution Based Neural Network Model for Relation Classificationworks. This paper proposes a bi-channel tree convolution based neural network model, ., which combines syntactic tree features and other lexical level features together in a deeper manner for relation classification. First, each input sentence is parsed into a syntactic tree. Then, this tree is deco作者: Endometrium 時(shí)間: 2025-3-29 04:30
Using Entity Relation to Improve Event Detection via Attention Mechanismal networks have successfully solve the problem to some extent, by encoding a series of linguistic features, such as lexicon, part-of-speech and entity. However, so far, the entity relation hasn’t yet been taken into consideration. In this paper, we propose a novel event extraction method to exploit作者: 使服水土 時(shí)間: 2025-3-29 07:51 作者: Bernstein-test 時(shí)間: 2025-3-29 12:14
Learning BLSTM-CRF with Multi-channel Attribute Embedding for Medical Information ExtractionE) is an essential step in it. This paper focuses on the medical IE, whose aim is to extract the pivotal contents from the medical texts such as drugs, treatments and so on. In existing works, introducing side information into neural network based Conditional Random Fields (CRFs) models have been ve作者: 系列 時(shí)間: 2025-3-29 19:11 作者: 極小量 時(shí)間: 2025-3-29 23:43
I Know There Is No Answer: Modeling Answer Validation for Machine Reading Comprehensionevaluate these methods, we build a dataset SQuAD-T based on the SQuAD dataset, which consists of questions in the SQuAD dataset and includes relevant passages that may not contain the answer. We report results on this dataset and provides comparisons and analysis of the different models.作者: faction 時(shí)間: 2025-3-30 02:06
Using Entity Relation to Improve Event Detection via Attention Mechanismmatically investigate the effect of relation representation between entities. In addition, we also use different attention strategies in the model. Experimental results show that our approach outperforms other state-of-the-art methods.作者: shrill 時(shí)間: 2025-3-30 05:59
From Plots to Endings: A Reinforced Pointer Generator for Story Ending Generationcement learning (PGRL). We conduct experiments on the recently-introduced ROCStories Corpus. We evaluate our model in both automatic evaluation and human evaluation. Experimental results show that our model exceeds the sequence-to-sequence baseline model by 15.75% and 13.57% in terms of CIDEr and consistency score respectively.作者: conjunctiva 時(shí)間: 2025-3-30 09:31 作者: outset 時(shí)間: 2025-3-30 16:03
Response Selection of Multi-turn Conversation with Deep Neural Networksce, and ensemble of two models makes good improvement. The official results show that our solution takes 2nd place. We open the source of our code on GitHub, so that other researchers can reproduce easily.作者: Robust 時(shí)間: 2025-3-30 20:32 作者: 刀鋒 時(shí)間: 2025-3-30 22:24 作者: 激怒某人 時(shí)間: 2025-3-31 02:44
Conference proceedings 2018inese Computing, NLPCC 2018, held in Hohhot, China, in August 2018.. ..The 55 full papers and 31 short papers presented were carefully reviewed and selected from 308 submissions. The papers of the first volume are organized in the following topics: conversational Bot/QA/IR; knowledge graph/IE; machi作者: 尊嚴(yán) 時(shí)間: 2025-3-31 07:53
0302-9743 ing and Chinese Computing, NLPCC 2018, held in Hohhot, China, in August 2018.. ..The 55 full papers and 31 short papers presented were carefully reviewed and selected from 308 submissions. The papers of the first volume are organized in the following topics: conversational Bot/QA/IR; knowledge graph作者: 紳士 時(shí)間: 2025-3-31 13:16
Learning to Converse Emotionally Like Humans: A Conditional Variational Approach emotion category for the response. We propose a new neural conversation model which is able to produce reasonable emotion interaction and generate emotional expressions. Experiments show that our proposed approaches can generate appropriate emotion and yield significant improvements over the baseline methods in emotional conversation.作者: Absenteeism 時(shí)間: 2025-3-31 15:56 作者: Parallel 時(shí)間: 2025-3-31 19:58
Effective Character-Augmented Word Embedding for Machine Reading Comprehensionrepresentation to augment word embedding with a short list to improve word representations, especially for rare words. Experimental results show that the proposed approach helps the baseline model significantly outperform state-of-the-art baselines on various public benchmarks.作者: HUSH 時(shí)間: 2025-3-31 21:42
A Neural Question Generation System Based on Knowledge Basee design a new format of input sequence for the system, which promotes the performance of the model. On the evaluation of KBQG of NLPCC 2018 Shared Task 7, our system achieved 73.73 BLEU, and took the first place in the evaluation.
