Phrase Chunking
Related Papers
Exploiting Chunk-level Features to Improve Phrase Chunking
Most existing systems solved the phrase chunking task with the sequence labeling approaches, in which the chunk candidates cannot be treated as a whole during parsing process so that the …...
An Experimental Comparison of Active Learning Strategies for Partially Labeled Sequences
Active learning (AL) consists of asking human annotators to annotate automatically selected data that are assumed to bring the most bene- fit in the creation of a classifier. AL allows …...
South African Language Resources: Phrase Chunking
AbstractPhrase chunking remains an important natural language processing (NLP) technique for intermediate syntactic processing. This paper describes the development of protocols, annotated phrase chunking data sets and automatic phrase chunkers …...
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?
AbstractExisting neural models usually predict the tag of the current token independent of the neighboring tags. The popular LSTM-CRF model considers the tag dependencies between every two consecutive tags. However, …...