作者: 宣傳 時間: 2025-3-22 00:11
Chinese Computational Linguistics978-3-030-63031-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 提升 時間: 2025-3-22 00:26 作者: 撫慰 時間: 2025-3-22 05:20 作者: 藝術 時間: 2025-3-22 08:55
Military Occupation in ‘The Dead’ can eliminate error propagation and share knowledge, where the transition-based model with feature templates maintains the best performance. Recently, the graph-based joint model[.] on word segmentation and dependency parsing has achieved better performance, demonstrating the advantages of the grap作者: 殺子女者 時間: 2025-3-22 13:25
https://doi.org/10.1007/978-1-349-26348-6existing work related to Chinese zero pronoun resolution has not yet well integrated linguistic information into the deep learning-based Chinese zero pronoun resolution model. This paper adopts the idea based on the pre-trained model, and integrates the semantic representations in the pre-trained Ch作者: 殺子女者 時間: 2025-3-22 18:17
Military Occupation in ‘The Dead’more sophisticated network or effective learning paradigms on monolingual data, which often suffers from insufficient discriminative knowledge for classification. In this paper, we investigate to improve sentence classification by multilingual data augmentation and consensus learning. Comparing to p作者: 尖 時間: 2025-3-22 23:57 作者: 熱烈的歡迎 時間: 2025-3-23 02:07 作者: 招致 時間: 2025-3-23 07:51
Sara Nicholas,Patricia M. DeMarcoort forms of elastic words in Chinese, which is a key aspect of lexicalisation. Long and short forms is a highly frequent linguistic phenomenon in Chinese such as.. The choice of long and short form task aims to properly choose between long and short form for a given context to producing high-qualit作者: meritorious 時間: 2025-3-23 10:57
Sara Nicholas,Patricia M. DeMarcos, while not all data records are important for text generation and inappropriate input may bring noise into the final output. To solve this problem, we propose a two-step approach which first selects and orders the important data records and then generates text from the noise-reduced data. Here we 作者: 手段 時間: 2025-3-23 14:05
Growing Cleaner More Efficient Manufacturingth not only a consistent topic but also novel wordings. Although many approaches have been proposed and obvious progress has been made on this task, there is still a large room for improvement, especially for improving thematic consistency and wording diversity. To mitigate the gap between generated作者: obsolete 時間: 2025-3-23 18:51
Garretson Oester,Amanda Woodrum coherence of messages. In this paper, we focus on ., an important subtask of causal explanation analysis, which determines whether a causal explanation exists in one message. We design a .yramid .alient-.ware .etwork (PSAN) to detect causal explanations on messages. PSAN can assist in causal explan作者: 暴行 時間: 2025-3-24 00:11
https://doi.org/10.1007/978-3-658-13981-0del training, and their performance on rare entities is usually unsatisfactory. Entity dictionaries can cover many entities including both popular ones and rare ones, and are useful for NER. However, many entity names are context-dependent and it is not optimal to directly apply dictionaries without作者: Blazon 時間: 2025-3-24 03:09 作者: 聽覺 時間: 2025-3-24 08:09 作者: 牽索 時間: 2025-3-24 13:11
https://doi.org/10.1007/978-3-658-13981-0s overlap which is a common phenomenon in practice. To solve this problem, this paper defines event relation triple to explicitly represent relations among triggers, arguments and roles which are incorporated into the model to learn their inter-dependencies. A novel joint framework for multiple Chin作者: BLUSH 時間: 2025-3-24 17:27
https://doi.org/10.1007/978-3-540-33273-2s. Among existing studies, the Multi-Head Selection (MHS) framework is efficient in extracting entities and relations simultaneously. However, the method is weak for its limited performance. In this paper, we propose several effective insights to address this problem. First, we propose an entity-spe作者: visceral-fat 時間: 2025-3-24 22:29
A Joint Model for Graph-Based Chinese Dependency Parsing can eliminate error propagation and share knowledge, where the transition-based model with feature templates maintains the best performance. Recently, the graph-based joint model[.] on word segmentation and dependency parsing has achieved better performance, demonstrating the advantages of the grap作者: Dysarthria 時間: 2025-3-25 02:20 作者: craven 時間: 2025-3-25 03:32
Improving Sentence Classification by Multilingual Data Augmentation and Consensus Learningmore sophisticated network or effective learning paradigms on monolingual data, which often suffers from insufficient discriminative knowledge for classification. In this paper, we investigate to improve sentence classification by multilingual data augmentation and consensus learning. Comparing to p作者: 不在灌木叢中 時間: 2025-3-25 09:25
Attention-Based Graph Neural Network with Global Context Awareness for Document Understandingxtracting entities and relationships from plain texts, however, when it comes to document images, such demand becomes quite challenging since visual and layout information are also of great significance to help tackle this problem. In this work, we propose the attention-based graph neural network to作者: innovation 時間: 2025-3-25 14:00 作者: 外面 時間: 2025-3-25 16:21
Chinese Long and Short Form Choice Exploiting Neural Network Language Modeling Approachesort forms of elastic words in Chinese, which is a key aspect of lexicalisation. Long and short forms is a highly frequent linguistic phenomenon in Chinese such as.. The choice of long and short form task aims to properly choose between long and short form for a given context to producing high-qualit作者: amyloid 時間: 2025-3-25 22:13
Refining Data for Text Generations, while not all data records are important for text generation and inappropriate input may bring noise into the final output. To solve this problem, we propose a two-step approach which first selects and orders the important data records and then generates text from the noise-reduced data. Here we 作者: 畫布 時間: 2025-3-26 03:28
Plan-CVAE: A Planning-Based Conditional Variational Autoencoder for Story Generationth not only a consistent topic but also novel wordings. Although many approaches have been proposed and obvious progress has been made on this task, there is still a large room for improvement, especially for improving thematic consistency and wording diversity. To mitigate the gap between generated作者: Inelasticity 時間: 2025-3-26 07:40 作者: Nomadic 時間: 2025-3-26 09:32 作者: 因無茶而冷淡 時間: 2025-3-26 15:39 作者: Aids209 時間: 2025-3-26 19:15
A Practice of Tourism Knowledge Graph Construction Based on Heterogeneous InformationTourism-domain Knowledge Graph (TKG), which is helpful to manage tourism information and develop downstream applications such as tourism search engine, recommendation and Q & A. However, the existing TKG is deficient, and there are few open methods to promote the construction and widespread applicat作者: HATCH 時間: 2025-3-27 00:56
A Novel Joint Framework for Multiple Chinese Events Extractions overlap which is a common phenomenon in practice. To solve this problem, this paper defines event relation triple to explicitly represent relations among triggers, arguments and roles which are incorporated into the model to learn their inter-dependencies. A novel joint framework for multiple Chin作者: 人類 時間: 2025-3-27 01:21
Entity Relative Position Representation Based Multi-head Selection for Joint Entity and Relation Exts. Among existing studies, the Multi-Head Selection (MHS) framework is efficient in extracting entities and relations simultaneously. However, the method is weak for its limited performance. In this paper, we propose several effective insights to address this problem. First, we propose an entity-spe作者: angiography 時間: 2025-3-27 08:02
0302-9743 y language information processing; language resource and evaluation; social computing and sentiment analysis; and NLP applications..978-3-030-63030-0978-3-030-63031-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Intend 時間: 2025-3-27 13:31 作者: 換話題 時間: 2025-3-27 15:32 作者: 職業(yè)拳擊手 時間: 2025-3-27 20:45 作者: 施舍 時間: 2025-3-27 22:35 作者: FLORA 時間: 2025-3-28 04:40 作者: MENT 時間: 2025-3-28 09:32
Plan-CVAE: A Planning-Based Conditional Variational Autoencoder for Story Generationve thematic consistency while the CVAE module allows enhancing wording diversity. Experimental results on a benchmark dataset confirm that our proposed method can generate stories with both thematic consistency and wording novelty, and outperforms state-of-the-art methods on both automatic metrics and human evaluations.作者: 罵人有污點 時間: 2025-3-28 13:25 作者: 母豬 時間: 2025-3-28 14:49 作者: 貞潔 時間: 2025-3-28 20:24 作者: endarterectomy 時間: 2025-3-28 23:38 作者: gangrene 時間: 2025-3-29 03:12 作者: Aprope 時間: 2025-3-29 07:43 作者: 透明 時間: 2025-3-29 14:21
Improving Sentence Classification by Multilingual Data Augmentation and Consensus Learningledge for better representation and classification. We evaluate our model using English (i.e., source language) and Chinese (i.e., target language) data on several sentence classification tasks. Very positive classification performance can be achieved by our proposed model.作者: 類型 時間: 2025-3-29 16:37 作者: 藝術 時間: 2025-3-29 22:13
Refining Data for Text Generationut, we implement a text generator which sequentially models the input data records and emits a summary. Experiments on the ROTOWIRE dataset verifies the effectiveness of our proposed method in both performance and efficiency.作者: 扔掉掐死你 時間: 2025-3-30 02:45
Towards Causal Explanation Detection with Pyramid Salient-Aware Networkrthermore, PSAN can modify the dominance of discourses via a top attention-based discourse-level salient network to enhance explanatory semantics of messages. The experiments on the commonly used dataset of CEA shows that the PSAN outperforms the state-of-the-art method by 1.8% F1 value on the . task.作者: 漂亮 時間: 2025-3-30 06:27 作者: 痛苦一下 時間: 2025-3-30 09:58
A Novel Joint Framework for Multiple Chinese Events Extraction-trained language model. Experimental comparison with state-of-the-art baselines on ACE 2005 dataset shows the superiority of the proposed method in both trigger classification and argument classification.作者: 加強防衛(wèi) 時間: 2025-3-30 15:22 作者: Visual-Field 時間: 2025-3-30 20:21 作者: 虛構的東西 時間: 2025-3-30 21:37 作者: 偶然 時間: 2025-3-31 03:41
A Joint Model for Graph-Based Chinese Dependency Parsingods of joint POS tagging task, one is by sharing parameters, the other is by using tag attention mechanism, which enables the three tasks to better share intermediate information and improve each other’s performance. The experimental results on the Penn Chinese treebank (CTB5) show that our proposed作者: RENAL 時間: 2025-3-31 05:44
