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NAMED ENTITY IDENTIFICATION can be found in the following ACL ARC 1.0 documents (click to explore):
- (ACL ID: M95-1002) overview of results of the muc-6 evaluation
- (ACL ID: N01-1025) chunking with support vector machines
- (ACL ID: P05-3007) high throughput modularized nlp system for clinical text
- (ACL ID: P98-1011) evaluating a focus-based approach to anaphora resolution
- (ACL ID: W00-0409) multi-document summarization by visualizing topical content
- (ACL ID: W03-1305) two-phase biomedical ne recognition based on svms
- (ACL ID: W03-1310) answering clinical questions with role identification
- (ACL ID: W04-1903) inflectional syncretism and corpora
- (ACL ID: W06-0117) france telecom r&d beijing word segmenter for sighan bakeoff 2006
- (ACL ID: W06-0124) boosting for chinese named entity recognition
- (ACL ID: W06-0125) chinese word segmentation and named entity recognition based on a context-dependent mutual information independence model
- (ACL ID: W06-1905) keyword translation accuracy and cross-lingual question answering inchinese and japanese
- (ACL ID: W99-0211) using coreference chains for text summarization
- (ACL ID: W99-0612) language independent named entity recognition combining morphological and contextual evidence
- (ACL ID: X96-1026) chinese information extraction and retrieval
- (ACL ID: X96-1048) overview of results of the muc-6 evaluation
- (ACL ID: X96-1049) the multilingual entity task (met) overview
- (ACL ID: X96-1050) multilingual entity task (met)
* See also a list of some of the related terms to named entity identification.
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This page last edited on 12 October 2025.
