emnlp5

emnlp 2000 论文列表

Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, EMNLP 2000, Hong Kong, October 7-8, 2000.

Using Semantically Motivated Estimates to Help Subcategorization Acquisition.

电商所评分:8

One Sense per Collocation and Genre/Topic Variations.

电商所评分:2

Statistical Filtering and Subcategorization Frame Acquisition.

电商所评分:4

A Query Tool for Syntactically Frame Acquisition.

电商所评分:6

Combining Lexical and Formatting Cues for Named Entity Acquisition from the Web.

电商所评分:2

An Empirical Study of the Domain Dependence of Supervised Word Disambiguation Systems.

电商所评分:1

Reducing Parsing Complexity by Intra-Sentence Segmentation based on Maximum Entropy Model.

电商所评分:4

A Statistical Model for Parsing and Word-Sense Disambiguation.

电商所评分:10

A Real-time Integration Of Concept-based Search and Summarization of Chinese Websites.

电商所评分:2

Automatic WordNet Mapping Using Word Sense Disambiguation.

电商所评分:3

Automated Construction of Database Interfaces: Intergrating Statistical and Relational Learning for Semantic Parsing.

电商所评分:8

A Machine Learning Approach to Answering Questions for Reading Comprehension Tests.

电商所评分:5

Empirical Term Weighting and Expansion Frequency.

电商所评分:2

Word Alignment of English-Chinese Bilingual Corpus Based on Chucks.

电商所评分:5

Query Translation in Chinese-English Cross-Language Information Retrieval.

电商所评分:1

Cross-lingual Information Retrieval Using Hidden Markov Models.

电商所评分:3

Detection of Language (Model) Errors.

电商所评分:1

Nonlocal Language Modeling based on Context Co-occurrence Vectors.

电商所评分:10

Error-driven HMM-based Chunk Tagger with Context-dependent Lexicon.

电商所评分:7

Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger.

电商所评分:1

A Uniform Method of Grammar Extraction and Its Applications.

电商所评分:6

Sample Selection for Statistical Grammar Induction.

电商所评分:6

Topic Analysis Using a Finite Mixture Model.

电商所评分:1

Coaxing Confidences from an Old Freind: Probabilistic Classifications from Transformation Rule Lists.

电商所评分:10

Japanese Dependency Structure Analysis Based on Support Vector Machines.

电商所评分:2

What's Yours and What's Mine: Determining Intellectual Attribution in Scientific Text.

电商所评分:10

Pattern-Based Disambiguation for Natural Language Processing.

电商所评分:6