標(biāo)題: Titlebook: Computational Linguistics and Intelligent Text Processing; 19th International C Alexander Gelbukh Conference proceedings 2023 Springer Natu [打印本頁] 作者: 粗略 時間: 2025-3-21 18:13
書目名稱Computational Linguistics and Intelligent Text Processing影響因子(影響力)
書目名稱Computational Linguistics and Intelligent Text Processing影響因子(影響力)學(xué)科排名
書目名稱Computational Linguistics and Intelligent Text Processing網(wǎng)絡(luò)公開度
書目名稱Computational Linguistics and Intelligent Text Processing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computational Linguistics and Intelligent Text Processing被引頻次
書目名稱Computational Linguistics and Intelligent Text Processing被引頻次學(xué)科排名
書目名稱Computational Linguistics and Intelligent Text Processing年度引用
書目名稱Computational Linguistics and Intelligent Text Processing年度引用學(xué)科排名
書目名稱Computational Linguistics and Intelligent Text Processing讀者反饋
書目名稱Computational Linguistics and Intelligent Text Processing讀者反饋學(xué)科排名
作者: 子女 時間: 2025-3-21 21:19 作者: 沒有準(zhǔn)備 時間: 2025-3-22 02:03 作者: 受辱 時間: 2025-3-22 08:07 作者: Archipelago 時間: 2025-3-22 11:36 作者: enflame 時間: 2025-3-22 15:36 作者: enflame 時間: 2025-3-22 18:57
Argumentation in?Text: Discourse Structure Mattersicative discourse tree (CDT) is used. It consists of a discourse tree (DT) with additional labels on edges, which stand for verbs. These verbs represent communicative actions. Discourse trees are based on rhetoric relations, extracted from a text according to Rhetoric Structure Theory. The problem i作者: Acupressure 時間: 2025-3-22 21:57
A Deep Learning Approach for?Multimodal Deception Detectionper, we propose a simple yet tough to beat multimodal neural model for deception detection. By combining features from different modalities such as video, audio, and text along with Micro-Expression features, we show that detecting deception in real life videos can be more accurate. Experimental res作者: Conclave 時間: 2025-3-23 02:44 作者: Analogy 時間: 2025-3-23 09:10
Analyzing Stylistic Variation Across Different Political Regimesulturally: communism and democracy in Romania. We aim to analyze the stylistic variation between texts written during these two periods, and determine at what levels the variation is more apparent (if any): at the stylistic level, at the topic level etc. We take a look at the stylistic profile of th作者: 勤勉 時間: 2025-3-23 12:09 作者: 使絕緣 時間: 2025-3-23 15:30 作者: restrain 時間: 2025-3-23 21:45 作者: 令人發(fā)膩 時間: 2025-3-24 00:06
Self-adaptive Privacy Concern Detection for?User-Generated Contentysis output. The noise masks individual’s sensitive information contained in the dataset. However, determining the amount of noise is a key challenge, since too much noise will destroy data utility while too little noise will increase privacy risk. Though previous research works have designed some m作者: 氣候 時間: 2025-3-24 04:56
Complexity of?Russian Academic Texts as?the?Function of?Syntactic Parametersrs, therefore automation of text complexity assessment is relevant in a number of areas. The authors propose an innovative approach addressing limitations of the existing Russian text complexity tools based on descriptive and lexical features only. We examined the impact of 75 syntactic features on 作者: Ankylo- 時間: 2025-3-24 07:59
An Experimental Approach for?Information Extraction in?Multi-party Dialogue Discourseg formatting and punctuations. In addition, the information are distributed over multiple sentences. We experimentally investigate the usefulness of numerical statistics and topic modelling methods on a real dataset containing multi-part dialogue texts. Such information extraction can be used for di作者: Permanent 時間: 2025-3-24 10:52 作者: 糾纏,纏繞 時間: 2025-3-24 15:52 作者: enmesh 時間: 2025-3-24 19:38
https://doi.org/10.1007/978-3-031-23793-5artificial intelligence; computational linguistics; computer science; computer systems; correlation anal作者: aquatic 時間: 2025-3-25 02:22 作者: 分離 時間: 2025-3-25 05:23 作者: acheon 時間: 2025-3-25 11:22
https://doi.org/10.1007/978-3-662-45069-7ysis of the afferent media (online press mainly). The machine learning part is using the data of the currencies (the prices at a specific time) to predict in a mathematical sense. The sentiment analysis of the media (articles about a cryptocurrency) will influence the mathematical prediction, depend作者: 1分開 時間: 2025-3-25 12:08
Grundgleichungen der Str?mungsmechanikroposed. Convolutional neural networks (CNN) have been successfully applied to image classification, speech emotion recognition, and facial expression recognition. In the current study, a variant of typical CNN is being applied and experimentally investigated in spoken language identification. When 作者: 臨時抱佛腳 時間: 2025-3-25 16:11
Grundgleichungen der Str?mungsmechanik NER system that is based on word embedding. Word embedding hold semantic information about the context of the words. We hypothesized that the integration of word embedding features to the conventional lexical and contextual features could improve Arabic NER performance. The Conditional Random Field作者: Incorruptible 時間: 2025-3-25 21:14 作者: 車床 時間: 2025-3-26 03:32
Thermodynamische Aspekte von Str?mungening. This research propose sequence labeling approach to decompose that complex question. Two main tasks in segmenting complex question sentence are detecting sentence boundary with its type, and recognizing word that could be ignored in sentence. The proposed sequence labeling method achieves F1 sc作者: single 時間: 2025-3-26 05:42
Grundgleichungen der Str?mungsmechanikicative discourse tree (CDT) is used. It consists of a discourse tree (DT) with additional labels on edges, which stand for verbs. These verbs represent communicative actions. Discourse trees are based on rhetoric relations, extracted from a text according to Rhetoric Structure Theory. The problem i作者: ECG769 時間: 2025-3-26 11:01
Grundgleichungen der Str?mungsmechanikper, we propose a simple yet tough to beat multimodal neural model for deception detection. By combining features from different modalities such as video, audio, and text along with Micro-Expression features, we show that detecting deception in real life videos can be more accurate. Experimental res作者: 向外供接觸 時間: 2025-3-26 15:42
Grundgleichungen der Str?mungsmechanik scholars. Various plagiarism detection systems have been developed to prevent text re-use and to confront plagiarism. Although it is almost easy to detect duplicate text in academic manuscripts, finding patterns of text re-use that has been semantically changed is of great importance. Another impor作者: Detoxification 時間: 2025-3-26 19:57
https://doi.org/10.1007/978-3-662-57773-8ulturally: communism and democracy in Romania. We aim to analyze the stylistic variation between texts written during these two periods, and determine at what levels the variation is more apparent (if any): at the stylistic level, at the topic level etc. We take a look at the stylistic profile of th作者: judicial 時間: 2025-3-27 00:19
https://doi.org/10.1007/978-3-662-57773-8irteen hundred years, some of which texts have unknown authors. The importance of identifying the Fiqh School emanates from its importance in offering an authenticated interpretation of fundamental sources..The traditional method for identifying the Fiqh School for a certain text is either by knowle作者: 芳香一點 時間: 2025-3-27 05:10
https://doi.org/10.1007/3-540-32443-7matically determining from text whether the author is in favor of a given target, against this target, or whether neither inference is likely. The proposed system assembles Convolutional Neural Networks and Long Short-Term Memory neural networks. We use this system to address, with minor changes, bo作者: Feedback 時間: 2025-3-27 06:37
Grundgleichungen der Str?mungsmechanikproblem on automatic identification of MWEs for some less commonly taught languages. This paper addresses the issue of Malay MWEs extraction and clustering, and proposes a novel unsupervised extraction and clustering algorithm based on natural annotations. In our algorithm, we firstly use a binary c作者: AWL 時間: 2025-3-27 10:59
https://doi.org/10.1007/3-540-32443-7ysis output. The noise masks individual’s sensitive information contained in the dataset. However, determining the amount of noise is a key challenge, since too much noise will destroy data utility while too little noise will increase privacy risk. Though previous research works have designed some m作者: 有花 時間: 2025-3-27 15:26 作者: DIKE 時間: 2025-3-27 20:32
Grundgleichungen der Str?mungsmechanikg formatting and punctuations. In addition, the information are distributed over multiple sentences. We experimentally investigate the usefulness of numerical statistics and topic modelling methods on a real dataset containing multi-part dialogue texts. Such information extraction can be used for di作者: harangue 時間: 2025-3-28 00:18
https://doi.org/10.1007/978-3-662-57773-8is statistically significant. We also perform an analysis of the variation in topic between the two epochs, to compare with the variation at the style level. These analyses show that texts from the two periods can indeed be distinguished, both from the point of view of style and from that of semanti作者: SCORE 時間: 2025-3-28 04:17 作者: addition 時間: 2025-3-28 07:42 作者: ABOUT 時間: 2025-3-28 13:20 作者: 軌道 時間: 2025-3-28 17:15 作者: elucidate 時間: 2025-3-28 22:35
Combining Graph-Based Dependency Features with?Convolutional Neural Network for?Answer TriggeringikiQA dataset show that such a combination can more accurately trigger a candidate answer compared to the previous state-of-the-art models. Comparative study on . data set shows . absolute F-score improvement at the question level.作者: intangibility 時間: 2025-3-29 00:23
Prediction of Cryptocurrency Marketing on the feeling created around the currency. The study can be useful for entrepreneurs, investors, and normal users, to give them a clue on how to invest. Furthermore, the study is intended for research regarding natural language processing and human psychology (deducting the influence of masses through media) and also in pattern recognition.作者: ONYM 時間: 2025-3-29 06:15 作者: 百靈鳥 時間: 2025-3-29 09:16
An Experimental Approach for?Information Extraction in?Multi-party Dialogue Discoursefferent tasks, of which we consider two: contrasting . meetings from each other, and contrasting meetings involving . from those involving other. In addition to demonstrating the difference between counting and topic modeling results, we also evaluate our experiments with respect to the gold standards provided for the dataset.作者: deficiency 時間: 2025-3-29 11:47
Grundgleichungen der Str?mungsmechanik. In this paper, we are mainly investigating the effect of the number of clusters on NER performance. Moreover, the combination of fine and coarse grained clusters has resulted in further recognition improvement.作者: Interlocking 時間: 2025-3-29 15:59 作者: Microgram 時間: 2025-3-29 22:05
Grundgleichungen der Str?mungsmechanik MWE-level ones for Malay MWEs clustering, and finally distill out a general MWEs resource and several domain resources. The experimental results in the Malay dataset of 272,783 text documents show that our algorithm can extract MWEs precisely and dispatch them into domain clusters efficiently.作者: COLON 時間: 2025-3-30 00:43
Grundgleichungen der Str?mungsmechanikinal model of text complexity. We confirm statistically significant correlation of text complexity and 28 syntactic features in Russian texts. More research is needed to examine the model’s accuracy in texts of different types and genres as well as its applicability in automated text analyzers.作者: WATER 時間: 2025-3-30 04:44 作者: Abrupt 時間: 2025-3-30 12:08 作者: 隼鷹 時間: 2025-3-30 14:36
Natural-Annotation-Based Malay Multiword Expressions Extraction and Clustering MWE-level ones for Malay MWEs clustering, and finally distill out a general MWEs resource and several domain resources. The experimental results in the Malay dataset of 272,783 text documents show that our algorithm can extract MWEs precisely and dispatch them into domain clusters efficiently.作者: 不在灌木叢中 時間: 2025-3-30 17:27 作者: 著名 時間: 2025-3-31 00:41 作者: 簡潔 時間: 2025-3-31 03:43 作者: 不開心 時間: 2025-3-31 08:56
