FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2295030615> ?p ?o ?g. }

• W2295030615 abstract "State-of-the-art sequence labeling systems traditionally require large amounts of task-specific knowledge in the form of hand-crafted features and data pre-processing. In this paper, we introduce a novel neutral network architecture that benefits from both word- and character-level representations automatically, by using combination of bidirectional LSTM, CNN and CRF. Our system is truly end-to-end, requiring no feature engineering or data pre-processing, thus making it applicable to a wide range of sequence labeling tasks. We evaluate our system on two data sets for two sequence labeling tasks --- Penn Treebank WSJ corpus for part-of-speech (POS) tagging and CoNLL 2003 corpus for named entity recognition (NER). We obtain state-of-the-art performance on both the two data --- 97.55% accuracy for POS tagging and 91.21% F1 for NER." @default.
• W2295030615 created "2016-06-24" @default.
• W2295030615 creator A5060225743 @default.
• W2295030615 creator A5078672329 @default.
• W2295030615 date "2016-03-04" @default.
• W2295030615 modified "2023-09-23" @default.
• W2295030615 title "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF" @default.
• W2295030615 cites W1522301498 @default.
• W2295030615 cites W1570587036 @default.
• W2295030615 cites W1632114991 @default.
• W2295030615 cites W1677182931 @default.
• W2295030615 cites W1899794420 @default.
• W2295030615 cites W1940872118 @default.
• W2295030615 cites W1951325712 @default.
• W2295030615 cites W1996430422 @default.
• W2295030615 cites W2004763266 @default.
• W2295030615 cites W2008830554 @default.
• W2295030615 cites W2045993505 @default.
• W2295030615 cites W2064675550 @default.
• W2295030615 cites W2095705004 @default.
• W2295030615 cites W2096953947 @default.
• W2295030615 cites W2101609803 @default.
• W2295030615 cites W2104518905 @default.
• W2295030615 cites W2111023066 @default.
• W2295030615 cites W2114609248 @default.
• W2295030615 cites W2119035792 @default.
• W2295030615 cites W2130903752 @default.
• W2295030615 cites W2136848157 @default.
• W2295030615 cites W2139885235 @default.
• W2295030615 cites W2143612262 @default.
• W2295030615 cites W2147568880 @default.
• W2295030615 cites W2147800946 @default.
• W2295030615 cites W2147880316 @default.
• W2295030615 cites W2156876426 @default.
• W2295030615 cites W2158899491 @default.
• W2295030615 cites W2168596788 @default.
• W2295030615 cites W2172140247 @default.
• W2295030615 cites W2179519966 @default.
• W2295030615 cites W2250539671 @default.
• W2295030615 cites W2250628419 @default.
• W2295030615 cites W2250709962 @default.
• W2295030615 cites W2250861254 @default.
• W2295030615 cites W2251559320 @default.
• W2295030615 cites W2296283641 @default.
• W2295030615 cites W2299733675 @default.
• W2295030615 cites W2308486447 @default.
• W2295030615 cites W2311110368 @default.
• W2295030615 cites W2515406546 @default.
• W2295030615 cites W2949190276 @default.
• W2295030615 cites W2949952998 @default.
• W2295030615 cites W2950133940 @default.
• W2295030615 cites W2951037516 @default.
• W2295030615 cites W581956982 @default.
• W2295030615 cites W6908809 @default.
• W2295030615 doi "https://doi.org/10.48550/arxiv.1603.01354" @default.
• W2295030615 hasPublicationYear "2016" @default.
• W2295030615 type Work @default.
• W2295030615 sameAs 2295030615 @default.
• W2295030615 citedByCount "28" @default.
• W2295030615 countsByYear W22950306152017 @default.
• W2295030615 countsByYear W22950306152018 @default.
• W2295030615 countsByYear W22950306152019 @default.
• W2295030615 countsByYear W22950306152020 @default.
• W2295030615 countsByYear W22950306152021 @default.
• W2295030615 countsByYear W22950306152022 @default.
• W2295030615 countsByYear W22950306152023 @default.
• W2295030615 crossrefType "posted-content" @default.
• W2295030615 hasAuthorship W2295030615A5060225743 @default.
• W2295030615 hasAuthorship W2295030615A5078672329 @default.
• W2295030615 hasBestOaLocation W22950306151 @default.
• W2295030615 hasConcept C108583219 @default.
• W2295030615 hasConcept C11413529 @default.
• W2295030615 hasConcept C138885662 @default.
• W2295030615 hasConcept C154945302 @default.
• W2295030615 hasConcept C162324750 @default.
• W2295030615 hasConcept C187736073 @default.
• W2295030615 hasConcept C204321447 @default.
• W2295030615 hasConcept C206134035 @default.
• W2295030615 hasConcept C2776321320 @default.
• W2295030615 hasConcept C2776401178 @default.
• W2295030615 hasConcept C2778112365 @default.
• W2295030615 hasConcept C2778827112 @default.
• W2295030615 hasConcept C2779135771 @default.
• W2295030615 hasConcept C2780451532 @default.
• W2295030615 hasConcept C28490314 @default.
• W2295030615 hasConcept C35639132 @default.
• W2295030615 hasConcept C41008148 @default.
• W2295030615 hasConcept C41895202 @default.
• W2295030615 hasConcept C48103436 @default.
• W2295030615 hasConcept C54355233 @default.
• W2295030615 hasConcept C74296488 @default.
• W2295030615 hasConcept C86803240 @default.
• W2295030615 hasConcept C90805587 @default.
• W2295030615 hasConceptScore W2295030615C108583219 @default.
• W2295030615 hasConceptScore W2295030615C11413529 @default.
• W2295030615 hasConceptScore W2295030615C138885662 @default.
• W2295030615 hasConceptScore W2295030615C154945302 @default.
• W2295030615 hasConceptScore W2295030615C162324750 @default.
• W2295030615 hasConceptScore W2295030615C187736073 @default.
• W2295030615 hasConceptScore W2295030615C204321447 @default.

• next