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Titlebook: Natural Language Processing and Information Systems; 22nd International C Flavius Frasincar,Ashwin Ittoo,Elisabeth Métais Conference procee

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樓主: 警察在苦笑
31#
發(fā)表于 2025-3-26 22:44:00 | 只看該作者
Mining Incoherent Requirements in Technical Specificationss are often needed. It is then frequent to observe overlap and incoherence problems. In this paper, we propose a method to construct a corpus of various types of incoherences and a categorization that leads to the definition of patterns to mine incoherent requirements. We focus in this contribution
32#
發(fā)表于 2025-3-27 04:19:04 | 只看該作者
33#
發(fā)表于 2025-3-27 07:59:25 | 只看該作者
34#
發(fā)表于 2025-3-27 11:33:49 | 只看該作者
35#
發(fā)表于 2025-3-27 14:24:18 | 只看該作者
Twitter User Profiling Model Based on Temporal Analysis of Hashtags and Social Interactionsation on their activities and interests over time. The aim of this article is to propose several original strategies for modeling profiles of social networks’ users, taking into account social information and its temporal evolution. We illustrate our approach on the Twitter network. We distinguish i
36#
發(fā)表于 2025-3-27 21:51:28 | 只看該作者
Extracting Causal Relations Among Complex Events in Natural Science Literaturely suitable for extracting relations between complex events – which are assumed to be already identified – as found in natural science literature, supporting literature-based knowledge discovery. The approach is based on supervised learning, exploiting a wide range of linguistic features. Experiment
37#
發(fā)表于 2025-3-28 00:36:08 | 只看該作者
Supporting Experts to Handle Tweet Collections About Significant Eventsxperts during significant events. Enabling experts to combine automatic procedures with expertise is the main contribution of our approach and the added value of the tool. Even a small amount of feedback enables the tool to distinguish between relevant and irrelevant information effectively. Thus, R
38#
發(fā)表于 2025-3-28 05:54:27 | 只看該作者
Named Entity Classification Based on Profiles: A Domain Independent Approachendence, it is tested on two domains: general - CONLL2002 corpus, and medical - DrugSemantics gold standard. Given our overall results (CONLL2002, F1?=?67.06; DrugSemantics, F1?=?71.49), our methodology has proven to be domain independent.
39#
發(fā)表于 2025-3-28 07:47:55 | 只看該作者
Does the Strength of Sentiment Matter? A Regression Based Approach on Turkish Social Median different sentiments to a tweet. Instead of employing majority voting which ignores the strength of sentiments, the annotation can be enriched with a confidence score assigned for each sentiment. In this study, we analyze the effect of using regression on confidence scores in sentiment analysis us
40#
發(fā)表于 2025-3-28 11:46:17 | 只看該作者
Stoffen und Energien betrachten und als . untersuchen. Obwohl alle Lebens?u?erungen eine solche stoffliche oder energetische Grundlage haben, erweist sich diese Betrachtungsweise bei der Untersuchung von Sinnes- und Effektorleistungen als zu kurz gegriffen. So hat z.B. die physikalische Natur eines
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