4 |
Structured generative models for unsupervised named-entity clustering
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Coarse-to-fine n-best parsing and MaxEnt discriminative reranking
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Sentence-Internal Prosody Does not Help Parsing the Way Punctuation Does
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Noun-phrase co-occurrence statistics for semi-automatic semantic lexicon construction ...
|
|
|
|
Abstract:
Generating semantic lexicons semi-automatically could be a great time saver, relative to creating them by hand. In this paper, we present an algorithm for extracting potential entries for a category from an on-line corpus, based upon a small set of exemplars. Our algorithm finds more correct terms and fewer incorrect ones than previous work in this area. Additionally, the entries that are generated potentially provide broader coverage of the category than would occur to an individual coding them by hand. Our algorithm finds many terms not included within Wordnet (many more than previous algorithms), and could be viewed as an ``enhancer'' of existing broad-coverage resources. ... : 7 pages, 1 figure, 5 tables ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; I.2.7
|
|
URL: https://arxiv.org/abs/cs/0008026 https://dx.doi.org/10.48550/arxiv.cs/0008026
|
|
BASE
|
|
Hide details
|
|
|
|