100
Voted
COLING
2002
15 years 2 days ago
2002
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...
97
Voted
ANLP
2000
15 years 1 months ago
2000
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...
84
Voted
EMNLP
2006
15 years 1 months ago
2006
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...
102
Voted
EMNLP
2004
15 years 1 months ago
2004
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...
85
Voted
ACL
2007
15 years 1 months ago
2007
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...
136
Voted
NLPRS
2001
Springer
15 years 4 months ago
2001
Springer
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...
103
Voted
CICLING
2003
Springer
15 years 5 months ago
2003
Springer
: 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...
120
Voted
IJCNLP
2005
Springer
15 years 5 months ago
2005
Springer
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...