| P13-1052 | techniques in the literature for the | automated acquisition | of definitional knowledge . Fujii |
| W00-1317 | problem for empirical NLP is the | automated acquisition | of NLI 's from training examples |
| C04-1117 | an important resource for the | automated acquisition | of translational lexicons ( Turcato |
| C04-1117 | </figurecaption> Abstract We deal with the | automated acquisition | of a Spanish medical subword |
| W12-0501 | present a hybrid approach for | automated acquisition | of sentiment lexicon . The method |
| C92-2117 | interesting possibilities for the | automated acquisition | of bilingual correspondences |
| H01-1009 | has led to recent research on | automated acquisition | of patterns from text with minimal |
| P92-1028 | provide a general approach for the | automated acquisition | of disambiguation heuristics |
| N10-1053 | The Effect of Ambiguity on the | Automated Acquisition | of WSD Examples </title> Mark |
| H01-1041 | new domains via knowledge-based | automated acquisition | of grammars . Having been trained |
| H01-1009 | scenario to another . Research on the | automated acquisition | of patterns is important for |
| W03-1303 | 2000 ) , is a basic step in the | automated acquisition | of knowledge from textual documents |
| H93-1115 | in Ontology construction is the | automated acquisition | under Ontology nodes of semantic |
| C00-1072 | classiti - cation . <title> The | Automated Acquisition | of Topic Signatures for Text |
| P96-1004 | lexical semantic information . | Automated acquisition | of this information would thus |
| W06-2301 | Robust Parsing , Error Mining , | Automated Acquisition | , and Evaluation </title> Gertjan |
| E14-1008 | supervision , and ( iii ) the | automated acquisition | of sense-annotated data . Knowledge-based |
| C96-1055 | available to NLP researchers , | automated acquisition | has become increasingly more |
| D09-1028 | algorithmic framework which allows an | automated acquisition | of map-like information from |
| M95-1018 | creation of trainin g data for | automated acquisition | . The Natural Language group |
