Text Chunking using Transformation-Based Learning
Explore this paper's citation graph
Summary
This work has shown that the transformation-based learning approach can be applied at a higher level of textual interpretation for locating chunks in the tagged text, including non-recursive “baseNP” chunks.
- Type
- preprint
- Published
- 1995-05-23
- Cited by
- 2,014
- References
- 15
- Access
- Open access
- OpenAlex
- https://openalex.org/W2951562155
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:725590
Keywords
Chunking (psychology), Computer science, Natural language processing, Treebank, Artificial intelligence
References
- A corpus-based approach to language learning
- Exploring the Statistical Derivation of Transformational Rule Sequences for Part-of-Speech Tagging
- Performance structures: A psycholinguistic and linguistic appraisal☆
- Finding Clauses in Unrestricted Text by Finitary and Stochastic Methods
- A Stochastic Parts Program and Noun Phrase Parser for Unrestricted Text
- A Rule-Based Approach to Prepositional Phrase Attachment Disambiguation
- Automatic Grammar Induction and Parsing Free Text: A Transformation-Based Approach
- Surface Grammatical Analysis for the Extraction of Terminological Noun Phrases
- An Algorithm for Finding Noun Phrase Correspondences in Bilingual Corpora
- NPtool, a Detector of English Noun Phrases
- Some Advances in Transformation-Based Part of Speech Tagging
- Automatic Grammar Induction and Parsing Free Text: A Transformation-Based Approach
- Automatic grammar induction and parsing free text
- Parsing By Chunks
Cited by
- Automatic instant messaging dialogue using statistical models and dialogue acts
- A First Experimental Demonstration of Massive Knowledge Infusion
- Putting hands to rest: efficient deep CNN-RNN architecture for chemical named entity recognition with no hand-crafted rules
- Braucht Nominalphrasenerkennung linguistisches Wissen?
- Data-Driven Methods for Building a Swedish Treebank.
- Towards a machine-learning architecture for lexical functional grammar parsing
- Apprentissage automatique et compréhension dans le cadre d'un dialogue homme-machine téléphonique à initiative mixte. (Corpus-based spoken language understanding for mixed initiative spoken dialog systems)
- Identifying Product Entities in text with Conditional Random Fields
- A Robust Shallow Parser for Swedish
- Transforming Trees to Improve Syntactic Convergence
- Learning to Follow Navigational Route Instructions
- Arabic Word Segmentation for Better Unit of Analysis
- Edit Machines for Robust Multimodal Language Processing
- Complex vowels as boundary correlates in a multi-speaker corpus of spontaneous English speech
- Prosody prediction for speech synthesis using transformational rule-based learning
- A Joint Model for Normalizing Gene and Organism Mentions in Text
- Chunking German: An Unsolved Problem
- Alignment-guided chunking
- A ProtoType Question Answering System Using Syntactic and Semantic Information for Answer Retrieval
- Structure-Preserving Pipelines for Digital Libraries
Related papers
- Memory-Based Shallow Parsing
- A Probabilistic Generative Model for an Intermediate Constituency-Dependency Representation
- On the effect of the label bias problem in part-of-speech tagging
- Fast Boosting-based Part-of-Speech Tagging and Text Chunking with Efficient Rule Representation for Sequential Labeling
- Part-of-Speech Tagging and Chunking in Text-to-Speech Synthesis for South African Languages
- Part Of Speech Tagging and Chunking with HMM and CRF
- A Review on Parts-of-Speech Technologies
- dTagger: A POS Tagger