FEATURE ENGINEERING: Related Papers in ACL Anthology
Back to Document Index
Back to Term Index
-
Concordance view (Keyword-In-Context) for the term feature engineering in the ACL ARC 2.0;
- Concordance view in the ACL ARC 1.0 (Sketch Engine Service).
FEATURE ENGINEERING can be found in the following ACL ARC 1.0 documents (click to explore):
- (ACL ID: E06-1015) making tree kernels practical for natural language learning
- (ACL ID: H05-1045) identifying sources of opinions with conditional random fields and extraction patterns
- (ACL ID: H05-1087) maximum expected f-measure training of logistic regression models
- (ACL ID: I05-3027) a conditional random field word segmenter for sighan bakeoff 2005
- (ACL ID: N03-1025) language and task independent text categorization with simple language models
- (ACL ID: N04-1042) accurate information extraction from research papers using conditional random fields
- (ACL ID: N04-4037) a lightweight semantic chunker based on tagging
- (ACL ID: N06-1005) effectively using syntax for recognizing false entailment
- (ACL ID: N06-1037) exploring syntactic features for relation extraction using a convolution tree kernel
- (ACL ID: P04-1035) a sentimental education
- (ACL ID: P04-1042) deep dependencies from context-free statistical parsers
- (ACL ID: P04-1054) dependency tree kernels for relation extraction
- (ACL ID: P05-1053) exploring various knowledge in relation extraction
- (ACL ID: P06-1009) discriminative word alignment with conditional random fields
- (ACL ID: P06-1016) modeling commonality among related classes in relation extraction
- (ACL ID: P06-1093) automatic generation of domain models for call-centers from noisy transcriptions
- (ACL ID: P06-1095) machine learning of temporal relations
- (ACL ID: P06-1104) a composite kernel to extract relations between entities with both flat and structured features
- (ACL ID: P06-1110) advances in discriminative parsing
- (ACL ID: P06-2010) a hybrid convolution tree kernel for semantic role labeling
- (ACL ID: P06-2085) using machine learning to explore human multimodal clarification strategies
- (ACL ID: P98-1048) experiments with learning parsing heuristics
- (ACL ID: W02-2013) named entity extraction with conditional markov models and classifiers
- (ACL ID: W03-0428) named entity recognition with character-level models
- (ACL ID: W04-0863) joining forces to resolve lexical ambiguity
- (ACL ID: W04-2416) semantic role labeling by tagging syntactic chunks
- (ACL ID: W04-2423) language learning
- (ACL ID: W04-3246) learning hebrew roots
- (ACL ID: W05-0402) feature engineering and post-processing for temporal expression recognition using conditional random fields
- (ACL ID: W05-0406) identifying non-referential it
- (ACL ID: W05-0407) engineering of syntactic features for shallow semantic parsing
- (ACL ID: W05-0408) automatic identification of sentiment vocabulary
- (ACL ID: W05-0628) semantic role labeling as sequential tagging
- (ACL ID: W05-1008) bootstrapping deep lexical resources
- (ACL ID: W06-1317) classification of discourse coherence relations
- (ACL ID: W06-1620) multilingual deep lexical acquisition for hpsgs via supertagging
- (ACL ID: W06-2607) tree kernel engineering in semantic role labeling systems
- (ACL ID: W06-2908) semantic role recognition using kernels on weighted marked ordered labeled trees
- (ACL ID: W06-2909) semantic role labeling via tree kernel joint inference
- (ACL ID: W06-2928) dependency parsing with reference to slovene, spanish and swedish
- (ACL ID: W06-3406) improving "email speech acts" analysis via n-gram selection
- (ACL ID: W06-3803) graph-based text representation for novelty detection
- (ACL ID: W99-0629) cascaded grammatical relation assignment
* See also a list of some of the related terms to feature engineering.
Back to Description Index
