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COLING
2002
11 years 6 months ago
Morphological Analysis of the Spontaneous Speech Corpus
This paper describes a project tagging a spontaneous speech corpus with morphological information such as word segmentation and parts-ofspeech. We use a morphological analysis sys...
Kiyotaka Uchimoto, Chikashi Nobata, Atsushi Yamada...
ANLP
2000
139views more  ANLP 2000»
11 years 8 months ago
A Hybrid Approach for Named Entity and Sub-Type Tagging
This paper presents a hybrid approach for named entity (NE) tagging which combines Maximum Entropy Model (MaxEnt), Hidden Markov Model (HMM) and handcrafted grammatical rules. Eac...
Rohini K. Srihari
EMNLP
2006
11 years 8 months ago
Statistical Ranking in Tactical Generation
In this paper we describe and evaluate several statistical models for the task of realization ranking, i.e. the problem of discriminating between competing surface realizations ge...
Erik Velldal, Stephan Oepen
EMNLP
2004
11 years 8 months ago
A New Approach for English-Chinese Named Entity Alignment
Traditional word alignment approaches cannot come up with satisfactory results for Named Entities. In this paper, we propose a novel approach using a maximum entropy model for nam...
Donghui Feng, Yajuan Lü, Ming Zhou
ACL
2007
11 years 8 months ago
Shallow Dependency Labeling
We present a formalization of dependency labeling with Integer Linear Programming. We focus on the integration of subcategorization into the decision making process, where the var...
Manfred Klenner
NLPRS
2001
Springer
11 years 11 months ago
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
Choong-Nyoung Seon, Youngjoong Ko, Jeong-Seok Kim,...
CICLING
2003
Springer
11 years 12 months ago
A Maximum Entropy Approach for Spoken Chinese Understanding
: In this paper, we present a spoken language understanding method based on the maximum entropy model. We first extract certain features from the corpus, and then train the maximum...
Guodong Xie, Chengqing Zong, Bo Xu
IJCNLP
2005
Springer
12 years 8 days ago
A Chunking Strategy Towards Unknown Word Detection in Chinese Word Segmentation
This paper proposes a chunking strategy to detect unknown words in Chinese word segmentation. First, a raw sentence is pre-segmented into a sequence of word atoms 1 using a maximum...
Guodong Zhou
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