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Titlebook: Masterplan Erfolg; Pers?nliche Zielplan Alexander Christiani Book 1996 Springer Fachmedien Wiesbaden 1996 Entwicklung.Erfolg.Geld.Gestaltun

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11#
發(fā)表于 2025-3-23 10:37:17 | 只看該作者
12#
發(fā)表于 2025-3-23 14:19:59 | 只看該作者
13#
發(fā)表于 2025-3-23 21:29:36 | 只看該作者
Alexander Christiani French as an inflected language, b) optimizes the estimation of probabilities, c) allows the user flexibility in choosing a tagset. The problem in extracting lexical probabilities from a limited training corpus is that the statistical model may not necessarily represent the use of a particular word
14#
發(fā)表于 2025-3-23 22:11:19 | 只看該作者
Alexander Christianier. The task of question generation (QG) is to generate a corresponding natural language question given the input answer, while question answering (QA) is a reverse task to find a proper answer given the question. For the KBQA task, the answer could be regarded as a fact containing a predicate and t
15#
發(fā)表于 2025-3-24 03:18:39 | 只看該作者
Alexander Christianiularly in the biomedical field. On biomedical CQA platforms, patients share information about diseases, drugs and symptoms by communicating with each other. Therefore, the biomedical CQA platforms become particularly valuable resources for information and knowledge acquisition of patients. To accura
16#
發(fā)表于 2025-3-24 06:51:51 | 只看該作者
17#
發(fā)表于 2025-3-24 11:17:07 | 只看該作者
Alexander Christianialogue system, especially speaker state closely related to emotion. Because of the increasing speakers, it is more challenging to model speakers’ state in multi-speaker conversation than in two-speaker conversation. In this paper, we focus on emotion detection in multi-speaker conversation–a more ge
18#
發(fā)表于 2025-3-24 16:10:02 | 只看該作者
Alexander Christianiis usually a practical and effective solution, especially for some complicated questions (e.g., How and Why). Recent years have witnessed the great successes of knowledge graphs (KGs) in KBQA systems, while there are still few works focusing on making full use of KGs in FAQ-based QA. In this paper,
19#
發(fā)表于 2025-3-24 22:27:54 | 只看該作者
20#
發(fā)表于 2025-3-25 01:56:34 | 只看該作者
Alexander Christianiis usually a practical and effective solution, especially for some complicated questions (e.g., How and Why). Recent years have witnessed the great successes of knowledge graphs (KGs) in KBQA systems, while there are still few works focusing on making full use of KGs in FAQ-based QA. In this paper,
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