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Titlebook: Computational Linguistics; 14th International C K?iti Hasida,Ayu Purwarianti Conference proceedings 2016 Springer Science+Business Media Si

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樓主: radionuclides
11#
發(fā)表于 2025-3-23 12:59:07 | 只看該作者
Filled Pause Detection in Indonesian Spontaneous Speechnd 2082 non-filled pause words were employed as training data. Using 25 sentences as testing data, Na?ve Bayes gave best detection correctness, 74.35?% on a closed data set and 71.43?% on an open data set.
12#
發(fā)表于 2025-3-23 17:10:40 | 只看該作者
13#
發(fā)表于 2025-3-23 21:51:36 | 只看該作者
Incorporating Tweet Relationships into Topic Derivationbetween tweets. We have conducted experiments on a Twitter dataset and evaluated the performance in terms of both topic coherence and tweet-topic accuracy. Our experiments show that . outperforms methods that do not use relationship information.
14#
發(fā)表于 2025-3-24 00:37:04 | 只看該作者
1865-0929 on for Computational Linguistics, PACLING 2015, held in Bali,Indonesia, in May 2015...The 18revised full papers presented were carefully reviewed and selected from 45papers. The papers are organized around the following topics: syntax andsyntactic analysis; semantics and semantic analysis; spoken la
15#
發(fā)表于 2025-3-24 02:57:45 | 只看該作者
16#
發(fā)表于 2025-3-24 06:56:59 | 只看該作者
Context Representation with Word Embeddings for WSDr word sense disambiguation (WSD) that employs word embeddings as local context features. Our experiments show the usefulness of word embeddings in the WSD task. We also compare the methods with different vector representations and reveal their effects on the WSD task.
17#
發(fā)表于 2025-3-24 12:01:43 | 只看該作者
18#
發(fā)表于 2025-3-24 17:22:38 | 只看該作者
19#
發(fā)表于 2025-3-24 22:40:19 | 只看該作者
20#
發(fā)表于 2025-3-25 02:18:09 | 只看該作者
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