找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Natural Language Processing and Chinese Computing; 7th CCF Internationa Min Zhang,Vincent Ng,Hongying Zan Conference proceedings 2018 Sprin

[復制鏈接]
樓主: hierarchy
11#
發(fā)表于 2025-3-23 13:46:18 | 只看該作者
12#
發(fā)表于 2025-3-23 17:27:56 | 只看該作者
13#
發(fā)表于 2025-3-23 19:45:30 | 只看該作者
From Humour to Hatred: A Computational Analysis of Off-Colour Humourssential so that free-speech on the internet is not curtailed. Our experiments show that deep learning methods outperforms other n-grams based approaches like SVM’s, Naive Bayes and Logistic Regression by a large margin.
14#
發(fā)表于 2025-3-23 22:36:26 | 只看該作者
15#
發(fā)表于 2025-3-24 04:37:45 | 只看該作者
Summary++: Summarizing Chinese News Articles with Attentionrchive second place in the task with a score of 0.285. The highlights of our model is that it run at character level, no extra features (e.g. part of speech, dependency structure) were used and very little preprocessing were done.
16#
發(fā)表于 2025-3-24 09:54:45 | 只看該作者
Neural Chinese Word Segmentation with Dictionary Knowledgehe second one is based on multi-task learning. The experimental results on two benchmark datasets validate that our approach can effectively improve the performance of Chinese word segmentation, especially when training data is insufficient.
17#
發(fā)表于 2025-3-24 10:59:54 | 只看該作者
18#
發(fā)表于 2025-3-24 17:33:56 | 只看該作者
19#
發(fā)表于 2025-3-24 20:46:08 | 只看該作者
Ensemble of Binary Classification for the Emotion Detection in Code-Switching Texte a novel method of converting multi-label classification into binary classification task and ensemble learning for code-switching text with sampling and emotion lexicon. Experiments show that the proposed method has achieved better performance in the code-switching text task.
20#
發(fā)表于 2025-3-25 00:42:20 | 只看該作者
0302-9743 /IE; machine learning for NLP; machine translation; and NLP applications. The papers of the second volume are organized as follows: NLP for social network; NLP fundamentals; text mining; and short papers..978-3-319-99500-7978-3-319-99501-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
 關于派博傳思  派博傳思旗下網站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網 吾愛論文網 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網安備110108008328) GMT+8, 2025-10-21 04:06
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
老河口市| 奉新县| 贵溪市| 玉山县| 竹北市| 南安市| 永吉县| 平山县| 灌阳县| 高邮市| 扎囊县| 邓州市| 监利县| 平罗县| 长丰县| 贵阳市| 库尔勒市| 福州市| 丘北县| 延吉市| 金昌市| 农安县| 南川市| 华池县| 苗栗县| 松潘县| 衡山县| 丰县| 清丰县| 大悟县| 冷水江市| 金昌市| 剑河县| 凌源市| 洪江市| 平原县| 永泰县| 河北省| 玉屏| 宜川县| 汽车|