CROSSVALIDATION: Related Papers in ACL Anthology

CROSSVALIDATION can be found in the following ACL ARC 1.0 documents (click to explore):

• (ACL ID: A00-2021) exploiting auxiliary distributions in stochastic unification-based grammars
• (ACL ID: A00-2028) learning to predict problematic situations in a spoken dialogue system
• (ACL ID: C00-1051) committee-based decision making in probabiiistic partial parsing
• (ACL ID: C02-1138) towards automatic generation of natural language generation systems
• (ACL ID: C04-1199) learning to identify single-snippet answers to definition questions
• (ACL ID: C04-1201) a language independent method for question classification
• (ACL ID: E06-1012) statistical dependency parsing for turkish
• (ACL ID: E06-1035) automatic segmentation of multiparty dialogue
• (ACL ID: E06-1052) investigating a generic paraphrase-based approach for relation extraction
• (ACL ID: E99-1018) pos disambiguation and unknown word guessing with decision trees
• (ACL ID: E99-1048) comparison and classification of dialects
• (ACL ID: H05-1046) disambiguating toponyms in news
• (ACL ID: J04-1003) verb class disambiguation using informative priors
• (ACL ID: J97-1005) discourse segmentation by human and automated means
• (ACL ID: J98-1005) disambiguating highly ambiguous words
• (ACL ID: N03-2002) factored language models and generalized parallel backoff
• (ACL ID: N04-1005) balancing data-driven and rule-based approaches in the context of a multimodal conversational system
• (ACL ID: N04-1026) predicting emotion in spoken dialogue from multiple knowledge sources
• (ACL ID: N04-3001) columbia newsblaster
• (ACL ID: N06-1009) role of local context in automatic deidentification of ungrammatical, fragmented text
• (ACL ID: N06-1048) nuggeteer
• (ACL ID: P01-1041) japanese named entity recognition based on a simple rule generator and decision tree learning
• (ACL ID: P01-1045) from chunks to function-argument structure
• (ACL ID: P03-1014) integrated shallow and deep parsing
• (ACL ID: P03-1022) a machine learning approach to pronoun resolution in spoken dialogue
• (ACL ID: P03-1027) recognizing expressions of commonsense psychology in english text
• (ACL ID: P04-1019) learning to resolve bridging references
• (ACL ID: P04-1026) linguistic profiling for authorship recognition and verification
• (ACL ID: P04-1044) combining acoustic and pragmatic features to predict recognition performance in spoken dialogue systems
• (ACL ID: P04-1086) using conditional random fields to predict pitch accents in conversational speech
• (ACL ID: P04-2010) a machine learning approach to german pronoun resolution
• (ACL ID: P05-1031) towards finding and fixing fragments—using ml to identify non-sentential utterances and their antecedents in multi-party dialogue
• (ACL ID: P05-2008) using emoticons to reduce dependency in machine learning techniques for sentiment classification
• (ACL ID: P06-1062) a dom tree alignment model for mining parallel data from the web
• (ACL ID: P06-1064) creating a ccgbank and a wide-coverage ccg lexicon for german
• (ACL ID: P06-1127) novel association measures using web search with double checking
• (ACL ID: P06-2055) analysis and repair of name tagger errors
• (ACL ID: P06-2059) automatic construction of polarity-tagged corpus from html documents
• (ACL ID: P06-2075) integrating pattern-based and distributional similarity methods for lexical entailment acquisition
• (ACL ID: P06-2124) bitam
• (ACL ID: P97-1011) learning features that predict cue usage
• (ACL ID: P97-1062) learning parse and translation decisions from examples with rich context
• (ACL ID: P98-2155) constituent-based accent prediction
• (ACL ID: P99-1037) memory-based morphological analysis
• (ACL ID: P99-1040) automatic detection of poor speech recognition at the dialogue level
• (ACL ID: P99-1069) estimators for stochastic "unification-based" grammars
• (ACL ID: W00-0713) using induced rules as complex features in memory-based language learning
• (ACL ID: W01-0506) stacking classifiers for anti-spam filtering of e-mail
• (ACL ID: W01-0712) learning computational grammars
• (ACL ID: W03-0303) word alignment based on bilingual bracketing
• (ACL ID: W04-0701) multi-document person name resolution
• (ACL ID: W04-0849) class-based collocations for word sense disambiguation
• (ACL ID: W04-1207) event-based information extraction for the biomedical domain
• (ACL ID: W04-2410) thesauruses for prepositional phrase attachment
• (ACL ID: W04-2807) different sense granularities for different applications
• (ACL ID: W04-3202) active learning and the total cost of annotation
• (ACL ID: W04-3233) np bracketing by maximum entropy tagging and svm reranking
• (ACL ID: W04-3240) learning to classify email into ``speech acts''
• (ACL ID: W05-0611) improving sequence segmentation learning by predicting trigrams
• (ACL ID: W05-0618) beyond the pipeline
• (ACL ID: W05-1301) weakly supervised learning methods for improving the quality of gene name normalization data
• (ACL ID: W05-1601) statistical generation
• (ACL ID: W05-1611) discrete optimization as an alternative to sequential processing in nlg
• (ACL ID: W06-1317) classification of discourse coherence relations
• (ACL ID: W06-1604) detecting parser errors using web-based semantic filters
• (ACL ID: W06-2609) learning to identify definitions using syntactic features
• (ACL ID: W06-3406) improving "email speech acts" analysis via n-gram selection
• (ACL ID: W06-3407) topic-segmentation of dialogue
• (ACL ID: W06-3803) graph-based text representation for novelty detection
• (ACL ID: W98-0317) cue phrase selection in instruction dialogue using machine learning
• (ACL ID: W98-1117) a maximum-entropy partial parser for unrestricted text
• (ACL ID: W99-0311) discourse-level argumentation in scientific articles
• (ACL ID: W99-0617) pos tags and decision trees for language modeling
• (ACL ID: W99-0704) finding representations for memory-based language learning