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Introduction to Chinese Natural Language Processing Kam-Fai

Introduction to Chinese Natural Language Processing. Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang. (Chinese University of Hong Kong, Hong Kong Polytechnic University,. City University of Hong Kong, and San Diego State University). Princeton, NJ: Morgan & Claypool (Synthesis Lectures on Human ...

J10-4011.pdf

Introduction to Chinese Natural Language Processing

any form or by any means—electronic, mechanical, photocopy, recording, or any other except for brief quotations in printed reviews, without the prior permission of the publisher. Introduction to Chinese Natural Language Processing. Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang www.morganclaypool. com.

S00211ED1V01Y200909HLT004

Bayesian Analysis in Natural Language Processing

Data-Intensive Text Processing with MapReduce. Jimmy Lin and Chris Dyer. 2010. Semantic Role Labeling. Martha Palmer, Daniel Gildea, and Nianwen Xue. 2010. Spoken Dialogue Systems. Kristiina Jokinen and Michael McTear. 2009. Introduction to Chinese Natural Language Processing. Kam-Fai Wong, Wenjie Li,  ...

9781627054218_sample.pdf

Linguistic Fundamentals for Natural Language Processing Linguist

2010. Semantic Role Labeling. Martha Palmer, Daniel Gildea, and Nianwen Xue. 2010. Spoken Dialogue Systems. Kristiina Jokinen and Michael McTear. 2009. Introduction to Chinese Natural Language Processing. Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang. 2009. Introduction to Linguistic Annotation  ...

linguistic_fundamentals.pdf

Natural Language Processing for Social Media

Data-Intensive Text Processing with MapReduce. Jimmy Lin and Chris Dyer. 2010. Semantic Role Labeling. Martha Palmer, Daniel Gildea, and Nianwen Xue. 2010. Spoken Dialogue Systems. Kristiina Jokinen and Michael McTear. 2009. Introduction to Chinese Natural Language Processing. Kam-Fai Wong, Wenjie Li,  ...

9781627053891_sample.pdf

Data-Intensive Text Processing with MapReduce

Data-Intensive Text Processing with MapReduce. Jimmy Lin and Chris Dyer. 2010. Semantic Role Labeling. Martha Palmer, Daniel Gildea, and Nianwen Xue. 2010. Spoken Dialogue Systems. Kristiina Jokinen and Michael McTear. 2009. Introduction to Chinese Natural Language Processing. Kam-Fai Wong, Wenjie Li,  ...

Data-Intensive Text Processing with MapReduce.pdf

Sentiment Analysis and Opinion Mining Sentime Opinion Sentim

Semantic Role Labeling. Martha Palmer, Daniel Gildea, Nianwen Xue. 2010. Spoken Dialogue Systems. Kristiina Jokinen, Michael McTear. 2009. Introduction to Chinese Natural Language Processing. Kam-Fai Wong, Wenjie Li, Ruifeng Xu, Zheng-sheng Zhang. 2009. Introduction to Linguistic Annotation and Text Analytics.

bingliu.pdf

Exploiting Word Internal Structures for Generic Chinese Sentence

Sep 7, 2017 ... 3 CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China ... 1 Introduction. To understand the meaning of a sentence is a pre- requisite to solve many natural language process- ing problems. Obviously, this requires ..... Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-.

wangshaonanEMNL.pdf

Web Corpus Construction

Introduction to Chinese Natural Language Processing. Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang. 2009. Introduction to Linguistic Annotation and Text Analytics. Graham Wilcock. 2009. Dependency Parsing. Sandra Kübler, Ryan McDonald, and Joakim Nivre. 2009. Statistical Language Models for ...

Chapter12.pdf

Feature-Frequency–Adaptive On-line Training for Fast and Accurate

Training for Fast and Accurate Natural. Language Processing. Xu Sun. ∗. Peking University. Wenjie Li. ∗∗. Hong Kong Polytechnic University. Houfeng Wang. † ... Introduction. Training speed is an important concern of natural language processing (NLP) systems. Large-scale NLP systems are computationally expensive.

CL2014.pdf

Veale, T., Shutova, E. and Beigman Klebanov, B.

Introduction to Chinese Natural Language Processing. Kam牛Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng牛sheng Zhang. 2009. Introduction to Linguistic Annotation and Text Analytics. Graham Wilcock. 2009. Dependency Parsing. Sandra Kübler, Ryan McDonald, and Joakim Nivre. 2009. Statistical Language Models for ...

bookch1.pdf

Chinese Temporal Tagging with HeidelTime

Apr 26, 2014 ... {hui.li,stroetgen,zell,gertz}@informatik.uni-heidelberg.de. Abstract. Temporal information is important for many NLP tasks, and there has been ex- tensive research on temporal tagging with a particular focus on English texts. Re- cently, other languages have also been ad- dressed, e.g., HeidelTime was ...

E14-4026.pdf

Multi-Granularity Chinese Word Embedding

Nov 1, 2016 ... Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 981–986, ... 1 Introduction. Word embedding, also known as distributed word representation, is to represent each word as a real- valued low- dimensional vector, through ... ∗Corresponding author: Peng Li.

D16-1100.pdf

A Model for Processing Temporal References in Chinese

Wenjie Li, Kam-Fai Wong. Department of Systems ... 1 Introduction. Information Extraction (IE) is an upcoming chal- lenging research area to cope with the increas- ing volume of unwieldy distributed information re- sources, such as information over ... per) discovery from natural language processing. In English, tenses and ...

W01-1305.pdf

arXiv:1702.04488v5 [cs.CL] 14 Sep 2017

Sep 14, 2017 ... of-the-art results: 96.1%, and 96.2% F-score on PKU and CTB datasets 4. Keywords: Chinese Word Segmentation, Transfer Learning. 1 Introduction. Chinese word segmentation (CWS) is an important step in Chinese natural lan- guage processing. The most widely used approaches [11,19] treat CWS as a ...

1702.04488

Proceedings of the 53nd Annual Meeting of the Association for

The 53rd Annual Meeting of the Association for. Computational Linguistics and the 7th International. Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing. Proceedings of the Conference. Volume 2: Short Papers. ACL 2015. July 26-‐31. Beijing, China ...

P15-2.pdf

Introduction to Chinese Natural Language Processing

(University of Hawai'i at Mānoa, United States) [email protected] Kam-Fai Wong, Wenjie Li, Ruifeng Xu, Zheng-sheng Zhang (2010). Introduction to Chinese Natural Language Processing. In Hirst Graeme. (Series editor), Synthesis Lectures on Human Language Technologies. Morgan & Claypool Publishers. x+148 pp.

jiang.pdf

Improving Social Media Text Summarization by Learning Sentence

Oct 31, 2017 ... large-scale social media corpus. 1 Introduction. Text summarization is an important task in natu- ral language processing. It aims to understand the key idea of a document ... The gold summary (shown in blue) is that the rate of China economy growth ..... Xu Sun, Wenjie Li, Houfeng Wang, and Qin Lu. 2014.

1710.11332

Radical-level Ideograph Encoder for RNN-based Sentiment

The results suggest that the radical embedding- based approach is cost-effective for machine learning on Chinese and Japanese. Keywords: Natural Language Processing, Sentiment Analysis. 1. Introduction. Word embeddings have been widely used for natural language processing (NLP) tasks (Col- lobert et al., 2011) .

ke17a.pdf

Fast Online Training with Frequency-Adaptive Learning Rates for

Jul 8, 2012 ... Wenjie Li. †. †. Department of Computing, The Hong Kong Polytechnic University . ‡. Key Laboratory of Computational Linguistics (Peking University), ... 1 Introduction. Since Chinese sentences are written as continuous sequences of characters, segmenting a character sequence into words is normally the ...

ACL12.pdf