標(biāo)題: Titlebook: Natural Language Processing and Information Systems; 26th International C Elisabeth Métais,Farid Meziane,Epaminondas Kapetan Conference pro [打印本頁] 作者: 習(xí)慣 時間: 2025-3-21 17:53
書目名稱Natural Language Processing and Information Systems影響因子(影響力)
書目名稱Natural Language Processing and Information Systems影響因子(影響力)學(xué)科排名
書目名稱Natural Language Processing and Information Systems網(wǎng)絡(luò)公開度
書目名稱Natural Language Processing and Information Systems網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Natural Language Processing and Information Systems被引頻次
書目名稱Natural Language Processing and Information Systems被引頻次學(xué)科排名
書目名稱Natural Language Processing and Information Systems年度引用
書目名稱Natural Language Processing and Information Systems年度引用學(xué)科排名
書目名稱Natural Language Processing and Information Systems讀者反饋
書目名稱Natural Language Processing and Information Systems讀者反饋學(xué)科排名
作者: 無所不知 時間: 2025-3-21 22:10
Conference proceedings 20212021, held online in July 2021...The 19 full papers and 14 short papers were carefully reviewed and selected from 82 submissions. The papers are organized in the following topical sections: role of learning; methodological approaches; semantic relations; classification; sentiment analysis; social me作者: adroit 時間: 2025-3-22 01:46 作者: incarcerate 時間: 2025-3-22 08:37 作者: Iatrogenic 時間: 2025-3-22 09:39
Sequence-Based Word Embeddings for?Effective Text Classificationh the goal of performing different Natural Language Processing (NLP) tasks. Our experiments demonstrated that DiVe is able to outperform existing (more complex) machine learning approaches, while preserving simplicity and scalability.作者: dominant 時間: 2025-3-22 14:59 作者: 心胸開闊 時間: 2025-3-22 17:21 作者: 基因組 時間: 2025-3-22 22:55
NumER: A Fine-Grained Numeral Entity Recognition Datasetinstructions. To demonstrate the use of this dataset, we train a numeral BERT model to detect and categorize numerals in documents. Our baseline model achieves an F1-score of 95% and hence demonstrating that the model can capture the semantic meaning of the numeral tokens.作者: 誰在削木頭 時間: 2025-3-23 02:18
Multiword Expression Features for?Automatic Hate Speech Detection tweet corpora with different MWE categories and with two types of MWE embeddings, word2vec and BERT. Our experiments demonstrate that the proposed HSD system with MWE features significantly outperforms the baseline system in terms of macro-F1.作者: 業(yè)余愛好者 時間: 2025-3-23 05:40 作者: 保留 時間: 2025-3-23 11:14
Cross-Domain Transfer of Generative Explanations Using Text-to-Text Modelsa low-resource task in another domain. Our proposed three-step training procedure improves explanation quality by up?to 7% and avoids sacrificing classification performance on the downstream task, while at the same time reducing the need for human annotations.作者: 引水渠 時間: 2025-3-23 15:07
Word Embedding-Based Topic Similarity Measurese-of-the-art topic similarity measures and propose novel metrics based on word embeddings. The proposed measures can overcome some limitations of the existing approaches, highlighting good capabilities in terms of several topic performance measures on benchmark datasets.作者: correspondent 時間: 2025-3-23 18:43 作者: 加花粗鄙人 時間: 2025-3-24 01:38
0302-9743 are organized in the following topical sections: role of learning; methodological approaches; semantic relations; classification; sentiment analysis; social media; linking documents; multimodality; applications. .978-3-030-80598-2978-3-030-80599-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 違法事實 時間: 2025-3-24 05:17 作者: Gourmet 時間: 2025-3-24 07:15 作者: Aggressive 時間: 2025-3-24 14:36 作者: 牌帶來 時間: 2025-3-24 16:28
the process of learning about interpretation of seismic data. This multidisciplinary, integrated and practical approach to data evaluation will prove to be a valuable tool for students and young professionals, 978-3-319-79961-2978-3-319-26491-2作者: archaeology 時間: 2025-3-24 21:25
Scaling Federated Learning for Fine-Tuning of Large Language Modelsng setting. While our findings suggest that the large sizes of the evaluated models are not generally prohibitive to federated training, we found that not all models handle federated averaging well. Most notably, DistilBERT converges significantly slower with larger numbers of clients, and under som作者: Abutment 時間: 2025-3-25 03:01 作者: BRACE 時間: 2025-3-25 06:50 作者: 打谷工具 時間: 2025-3-25 08:12
Semantic Text Segment Classification of?Structured Technical Contentin text types. By creating a set of context features, the model performances increased significantly. Although the data was collected to serve a specific use case, further valuable research can be performed in the areas of document engineering, class imbalance reduction, and semantic text classifica作者: 怕失去錢 時間: 2025-3-25 14:31
Agrin Hilmkil,Sebastian Callh,Matteo Barbieri,Leon René Sütfeld,Edvin Listo Zec,Olof Mogrenrations. We consider it lightweight since it adds a low overhead regardless of performing encryption and authentication. We evaluate LaaCan using four metrics: communication overhead, network traffic load, cost of deployment, and compatibility with CAN specification. The evaluation results show that作者: 他一致 時間: 2025-3-25 19:06 作者: defray 時間: 2025-3-25 20:36
y, found according to EC8 prescriptions, has been compared to the demand (D), for three different limit states. The seismic performance found by accounting for the strength variability has been compared to the one provided by the EC8 standard procedure, which has resulted to be conservative in the s作者: 噴出 時間: 2025-3-26 03:18
Silvia Terragni,Elisabetta Fersini,Enza Messinach a structural configuration retains this response into the inelastic phase when the strength assignment of all lateral load resisting bents is stiffness proportional. The accuracy of the proposed procedure is first illustrated in mixed-bent-type eight-story elastic structures, which are characteri作者: Compassionate 時間: 2025-3-26 08:19 作者: gorgeous 時間: 2025-3-26 11:16
Andrei-Marius Avram,Vasile P?i?,Dan Tufi?nterference of translational and torsional movements. As a praxis suitable computation tool static nonlinear analysis was performed (using the SAP software,?CSI analysis reference manual, University Avenue. Computers and Structures Inc., Berkeley, .. RC walls are modeled as frame elements with point作者: 愚蠢人 時間: 2025-3-26 13:01 作者: 文字 時間: 2025-3-26 16:58 作者: 切碎 時間: 2025-3-26 22:07 作者: Fibroid 時間: 2025-3-27 03:40
Hadjer Khaldi,Farah Benamara,Amine Abdaoui,Nathalie Aussenac-Gilles,EunBee Kangate the exquisite illustrations included with the accessibly written text, which simplify the process of learning about interpretation of seismic data. This multidisciplinary, integrated and practical approach to data evaluation will prove to be a valuable tool for students and young professionals, 作者: 粉筆 時間: 2025-3-27 08:08 作者: braggadocio 時間: 2025-3-27 12:36 作者: 退潮 時間: 2025-3-27 15:03 作者: CRASS 時間: 2025-3-27 21:31 作者: indigenous 時間: 2025-3-28 00:40 作者: Mindfulness 時間: 2025-3-28 02:12
Julian H?llig,Philipp Dufter,Michaela Geierhos,Wolfgang Ziegler,Hinrich Schützeon of . are obtained by regression analysis on response databanks created for the various types of frames considered here. These databanks are obtained with the aid of extensive parametric studies involving many frames under many seismic motions analyzed by nonlinear time history analyses. The HFD m作者: arcane 時間: 2025-3-28 08:57 作者: 死貓他燒焦 時間: 2025-3-28 13:42 作者: 積習(xí)難改 時間: 2025-3-28 16:27 作者: 喚醒 時間: 2025-3-28 20:55
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/661834.jpg作者: 微生物 時間: 2025-3-29 02:13 作者: 提名的名單 時間: 2025-3-29 06:30
You Can’t Learn What’s Not There: Self Supervised Learning and the Poverty of the Stimulus. and . can behave differently in terms of the alternations they can participate in (drizzle/spray water on the plant; *drizzle/spray the plant with water). By hypothesis, primary linguistic data is not sufficient to learn which verbs alternate and which do not. We tested two state-of-the-art machin作者: Lacerate 時間: 2025-3-29 11:03
Scaling Federated Learning for Fine-Tuning of Large Language Models legal frameworks. This makes FL attractive for both consumer and healthcare applications. However, few studies have examined FL in the context of larger language models and there is a lack of comprehensive reviews of robustness across tasks, architectures, numbers of clients, and other relevant fac作者: essential-fats 時間: 2025-3-29 12:10 作者: 優(yōu)雅 時間: 2025-3-29 16:14 作者: noxious 時間: 2025-3-29 22:10
Mixture Variational Autoencoder of?Boltzmann Machines for Text Processingcently, mixture variational autoencoders (MVAEs) have been proposed to enhance the representation capabilities of VAEs by assuming that data can come from a mixture distribution. In this work, we adapt MVAEs for text processing by modeling each component’s joint distribution of latent variables and 作者: interlude 時間: 2025-3-30 02:45
A Modular Approach for?Romanian-English Speech Translationare a common language. This work presents a modular system for Romanian to English and English to Romanian speech translation created by integrating four families of components in a cascaded manner: (1) automatic speech recognition, (2) transcription correction, (3) machine translation and (4) text-作者: 完成才能戰(zhàn)勝 時間: 2025-3-30 08:07 作者: 過濾 時間: 2025-3-30 08:45
Cross-Domain Transfer of Generative Explanations Using Text-to-Text Modelsce across various natural language processing tasks. However, these models remain opaque and hard to explain due to their vast complexity and size. This limits adoption in highly-regulated domains like medicine and finance, and often there is a lack of trust from non-expert end-users. In this paper,作者: 杠桿 時間: 2025-3-30 15:51
Virus Causes Flu: Identifying Causality in the Biomedical Domain Using an Ensemble Approach with Taromain. An example sentence having CE relation in the biomedical domain (precisely Leukemia) is: .. Here, . is the cause argument, . is the effect argument and . is the trigger word creating a causal scenario. Notably CE relation has a temporal order between . and . arguments. In this paper, we harne作者: ADOPT 時間: 2025-3-30 18:35 作者: Gerontology 時間: 2025-3-30 23:09 作者: colloquial 時間: 2025-3-31 00:56
Sequence-Based Word Embeddings for?Effective Text Classification generalize LME to consider different distance metrics and address existing scalability issues using negative sampling, thus making DiVe scalable for large datasets. In order to evaluate the quality of word embeddings produced by DiVe, we used them to train standard machine learning classifiers, wit作者: Vo2-Max 時間: 2025-3-31 08:38 作者: 書法 時間: 2025-3-31 12:14
Multiword Expression Features for?Automatic Hate Speech Detection human monitoring of hate speech is unfeasible. In this work, we propose new word-level features for automatic hate speech detection (HSD): multiword expressions (MWEs). MWEs are lexical units greater than a word that have idiomatic and compositional meanings. We propose to integrate MWE features in
