標題: Titlebook: Natural Language Generation in Artificial Intelligence and Computational Linguistics; Cécile L. Paris,William R. Swartout,William C. Man B [打印本頁] 作者: SPIR 時間: 2025-3-21 16:30
書目名稱Natural Language Generation in Artificial Intelligence and Computational Linguistics影響因子(影響力)
書目名稱Natural Language Generation in Artificial Intelligence and Computational Linguistics影響因子(影響力)學(xué)科排名
書目名稱Natural Language Generation in Artificial Intelligence and Computational Linguistics網(wǎng)絡(luò)公開度
書目名稱Natural Language Generation in Artificial Intelligence and Computational Linguistics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Natural Language Generation in Artificial Intelligence and Computational Linguistics被引頻次
書目名稱Natural Language Generation in Artificial Intelligence and Computational Linguistics被引頻次學(xué)科排名
書目名稱Natural Language Generation in Artificial Intelligence and Computational Linguistics年度引用
書目名稱Natural Language Generation in Artificial Intelligence and Computational Linguistics年度引用學(xué)科排名
書目名稱Natural Language Generation in Artificial Intelligence and Computational Linguistics讀者反饋
書目名稱Natural Language Generation in Artificial Intelligence and Computational Linguistics讀者反饋學(xué)科排名
作者: Itinerant 時間: 2025-3-21 22:01
A Reactive Approach to Explanation: Taking the User’s Feedback into Accountdes the dialogue context the system needs to respond appropriately to the user’s feedback. We illustrate our approach with examples of disambiguating a follow-up question and producing a clarifying elaboration in response to a misunderstood explanation.作者: Preserve 時間: 2025-3-22 03:42 作者: 縮減了 時間: 2025-3-22 07:27
Referent Grammar In Text Generation of the amount of interest of the predicates and the objects involved. The bulk of the paper demonstrates how Referent Grammar (RG) — a generalized phrase structure grammar with built-in referents — offers a convenient way of keeping track of both the sentence and the discourse referents.作者: 亂砍 時間: 2025-3-22 11:03 作者: 畏縮 時間: 2025-3-22 14:15
Lexico(Grammatical) choice in text generationicogrammar is presented. Then, existing approaches are discussed and located in relation to the abstract model. This paper is a shorter version of a longer treatment that also goes into the abstract model presented here in more detail.作者: 致詞 時間: 2025-3-22 19:15
Segment Grammar: a Formalism for Incremental Sentence Generation Segment Grammar is used for the representation of linguistic knowledge. We give a definition of this formalism and present a formulator design which relies on it. Next, we present an object- oriented implementation of Segment Grammar. Finally, we compare Segment Grammar with other formalisms.作者: 收養(yǎng) 時間: 2025-3-22 22:55 作者: 用手捏 時間: 2025-3-23 02:25 作者: Adherent 時間: 2025-3-23 06:27 作者: defibrillator 時間: 2025-3-23 12:28 作者: stratum-corneum 時間: 2025-3-23 14:28 作者: 責(zé)任 時間: 2025-3-23 21:33
Tailoring output to the user: What does user modelling in generation mean?of user modelling and of the constraints realism imposes on modelling. Using a range of detailed examples it argues that tailoring based only on the actual dialogue and on the decision model required for the system task is quite adequate, and that more ambitious modelling is both dangerous and unnecessary.作者: 機構(gòu) 時間: 2025-3-23 23:43 作者: CUR 時間: 2025-3-24 02:28
https://doi.org/10.1007/978-1-4757-5945-7Text; artificial intelligence; computational linguistics; expert system; intelligence; linguistics; natura作者: chassis 時間: 2025-3-24 10:35 作者: Lacerate 時間: 2025-3-24 13:01
Generation and Explanation: Building an Explanation Facility for the Explainable Expert Systems Framiques did not fit our needs. This paper thus presents an overview of the generation facility being built for EES, including an ‘historical’ perspective that explains the decisions we made. Finally, we briefly present directions for future research.作者: HUMP 時間: 2025-3-24 17:33 作者: POWER 時間: 2025-3-24 19:45
POPEL — A Parallel and Incremental Natural Language Generation Systemented representation of the content into natural language. The gesture generator ZORA determines and visualizes pointing gestures based on domain dependent rules. POPEL is realized on a (simulated) parallel processor.作者: RLS898 時間: 2025-3-25 02:07 作者: 泥瓦匠 時間: 2025-3-25 05:32 作者: 聽寫 時間: 2025-3-25 09:43 作者: Opponent 時間: 2025-3-25 14:36
g miners in in areas with high-cost electricity, and gives rise to political concerns when this results in a majority of mining taking place in countries whose governments may be able to influence miners within their borders. Moreover, today’s blockchain technologies suffer from a built-in unfairnes作者: 裝飾 時間: 2025-3-25 19:10
, in general, abuse..Advanced-levelstudents interested in software engineering, security and HCI (Human Computer Interaction) will find this book useful as a study guide. Engineers and security practitioners concerned with abuse and fraud will also benefit from the methodologies and techniques in th作者: AUGER 時間: 2025-3-25 23:30 作者: Mendicant 時間: 2025-3-26 03:07 作者: 刪除 時間: 2025-3-26 07:49 作者: Bereavement 時間: 2025-3-26 12:08
Kathleen F. McCoy,Jeannette Chengstudy classifies and analyzes information leakage in wearable smartwatch apps and examines the exposure of personal information using both static and dynamic approaches. Based on data collected from thousands of wearable applications, we show that standalone wearable apps leak less information compa作者: 異端邪說2 時間: 2025-3-26 16:28 作者: 贊成你 時間: 2025-3-26 19:17 作者: Resection 時間: 2025-3-26 21:01
Norbert Reithingerwork (DBN) to determine the trustworthiness of the threat intelligence. The experimental results verify that MTIV is more effective than traditional methods. Our work will be of benefit to build a more credible threat intelligence sharing platform, and enhance the capability of real-time detection a作者: GNAW 時間: 2025-3-27 01:28 作者: Pelago 時間: 2025-3-27 06:55
g, Informatics and Security? (CCIS 2020), the First International Workshop on Intelligence and Security in Next Generation Networks (ISNGN 2020), the First International Symposium on Emerging Information Security and Applications (EISA 2020)..978-3-030-68883-7978-3-030-68884-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 倔強不能 時間: 2025-3-27 09:41 作者: DENT 時間: 2025-3-27 13:38
Christian Matthiessenr based on the status of satellite nodes. Finally, simulation results show that the proposed strategy can achieve efficient routing in the high dynamic environment. Compared with the state-of-the-art strategies, it improves the performance in terms of delivery rate, average delay, and overhead ratio作者: 宣傳 時間: 2025-3-27 21:29
Lidija Iordanskaja,Richard Kittredge,Alain Polguèrere sending the inquiry to the TTP first we anonymizes the communication information by utilizing data perturbation. Then, we utilize the Adaptive Interval Cloaking Algorithm (AICA) as TTP to handle the ideal question from vehicles to LBS. In this paper, we provide the double communication privacy ba作者: capsaicin 時間: 2025-3-27 22:46 作者: Fissure 時間: 2025-3-28 04:18
Bengt Sigurde identity of the agent. In this paper, based on attribute-based encryption, we propose a traceable proxy signature scheme, only when the user’s attributes satisfy the access policy, the user can decrypt the corresponding ciphertext to obtain the proxy signature right. The program can solve the sign作者: Hypomania 時間: 2025-3-28 06:24 作者: 尖 時間: 2025-3-28 13:59 作者: Melanoma 時間: 2025-3-28 17:32
called DDWA. Finally, in comparison with RDBF, naive flooding and HH-VBF, we conduct extensive simulations using NS-3 simulator to verify the effectiveness and validity of the proposed data collection scheme in the context of the proposed architecture.作者: 大量 時間: 2025-3-28 20:29
Natural Language Generation in Artificial Intelligence and Computational Linguistics作者: antenna 時間: 2025-3-29 02:48 作者: Creatinine-Test 時間: 2025-3-29 04:20 作者: FANG 時間: 2025-3-29 10:19
Generation and Explanation: Building an Explanation Facility for the Explainable Expert Systems Framem explanations (mainly researchers working on expert systems themselves) have been largely separated from the natural language generation community. In this paper, we argue that explanation for expert systems can benefit from the more sophisticated generation techniques being developed in computati作者: Limited 時間: 2025-3-29 13:21 作者: archetype 時間: 2025-3-29 17:58 作者: BABY 時間: 2025-3-29 21:34 作者: 半圓鑿 時間: 2025-3-30 00:32 作者: Demonstrate 時間: 2025-3-30 06:17 作者: beta-cells 時間: 2025-3-30 09:09 作者: 變量 時間: 2025-3-30 12:48
On the Place of Words In the Generation Processpeaker for reasoning and modeling the situation. We hold that the bulk of the variance that we . at the surface level in language has its origins very deep in the conceptual system. Consequently, most of the burden of lexical choice must be taken on by this internal representation, and not by the ge作者: Magnitude 時間: 2025-3-30 20:29 作者: 思想靈活 時間: 2025-3-30 21:29
Lexical Selection and Paraphrase in a Meaning-Text Generation Modeltral role. To illustrate the descriptive scope and paraphrase capabilities of the model, we show how the lexicon influences the set of choices at four different points during the multi-stage realization process: (1) semantic net simplification, (2) determination of root lexical node for the deep syn作者: 消滅 時間: 2025-3-31 00:58 作者: pacifist 時間: 2025-3-31 05:44
Segment Grammar: a Formalism for Incremental Sentence Generation responsible for constructing the syntactic and morphological structure). In the model of natural speech production presented here, a formalism called Segment Grammar is used for the representation of linguistic knowledge. We give a definition of this formalism and present a formulator design which
