EMNLP 2004 - PDF Preprint Papers

EMNLP 2004

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EMNLP
2004

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Applying Conditional Random Fields to Japanese Morphological Analysis

13 years 6 months ago

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This paper presents Japanese morphological analysis based on conditional random fields (CRFs). Previous work in CRFs assumed that observation sequence (word) boundaries were fixed...

Taku Kudo, Kaoru Yamamoto, Yuji Matsumoto

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Id	Views	Title	Status

1	219	Applying Conditional Random Fields to Japanese Morphological Analysis	claim
2	168	Chinese Part-of-Speech Tagging: One-at-a-Time or All-at-Once? Word-Based or Character-Based?	claim
3	163	Object-Extraction and Question-Parsing using CCG	claim
4	160	Attribute-Based and Value-Based Clustering: An Evaluation	claim
5	158	Unsupervised WSD based on Automatically Retrieved Examples: The Importance of Bias	claim
6	152	Instance-Based Question Answering: A Data-Driven Approach	claim
7	150	VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations	claim
8	149	Max-Margin Parsing	claim
9	149	Sentiment Analysis using Support Vector Machines with Diverse Information Sources	claim
10	148	Efficient Decoding for Statistical Machine Translation with a Fully Expanded WFST Model	claim
11	143	A New Approach for English-Chinese Named Entity Alignment	claim
12	141	Comparing and Combining Generative and Posterior Probability Models: Some Advances in Sentence Boundary Detection in Speech	claim
13	139	Bilingual Parsing with Factored Estimation: Using English to Parse Korean	claim
14	134	Adaptive Language and Translation Models for Interactive Machine Translation	claim
15	131	Monolingual Machine Translation for Paraphrase Generation	claim
16	131	Active Learning and the Total Cost of Annotation	claim
17	120	Calibrating Features for Semantic Role Labeling	claim
18	118	Automatic Analysis of Plot for Story Rewriting	claim
19	117	From Machine Translation to Computer Assisted Translation using Finite-State Models	claim
20	114	Trained Named Entity Recognition using Distributional Clusters	claim
21	114	Automatic Paragraph Identification: A Study across Languages and Domains	claim
22	113	Error Measures and Bayes Decision Rules Revisited with Applications to POS Tagging	claim
23	113	Dependencies vs. Constituents for Tree-Based Alignment	claim
24	112	A Boosting Algorithm for Classification of Semi-Structured Text	claim
25	111	TextRank: Bringing Order into Text	claim
26	109	Multi-Document Biography Summarization	claim
27	108	LexPageRank: Prestige in Multi-Document Text Summarization	claim
28	108	Scaling Web-based Acquisition of Entailment Relations	claim
29	106	Unsupervised Domain Relevance Estimation for Word Sense Disambiguation	claim
30	101	The Entropy Rate Principle as a Predictor of Processing Effort: An Evaluation against Eye-tracking Data	claim
31	98	NP Bracketing by Maximum Entropy Tagging and SVM Reranking	claim
32	96	A Resource-light Approach to Russian Morphology: Tagging Russian using Czech resources	claim
33	96	A Hybrid Model for Morpho-Syntactic Annotation of German with a Large Tagset	claim
34	96	On Log-Likelihood-Ratios and the Significance of Rare Events	claim
35	95	Induction of Greedy Controllers for Deterministic Treebank Parsers	claim
36	95	Evaluating Information Content by Factoid Analysis: Human annotation and stability	claim
37	91	The Influence of Argument Structure on Semantic Role Assignment	claim
38	88	Learning Hebrew Roots: Machine Learning with Linguistic Constraints	claim
39	87	A Phrase-Based HMM Approach to Document/Abstract Alignment	claim
40	76	Statistical Significance Tests for Machine Translation Evaluation	claim

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