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2020 – today
- 2022
[j22]Linfeng Song
, Zhiguo Wang, Mo Yu, Yue Zhang, Radu Florian, Daniel Gildea:
Evidence Integration for Multi-Hop Reading Comprehension With Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 34(2): 631-639 (2022)- [c85]Lisa Jin, Linfeng Song, Lifeng Jin, Dong Yu, Daniel Gildea:
Hierarchical Context Tagging for Utterance Rewriting. AAAI 2022: 10849-10857 - [c84]Chen Yu, Daniel Gildea:
Sequence-to-sequence AMR Parsing with Ancestor Information. ACL (2) 2022: 571-577 - [c83]Lisa Jin, Daniel Gildea:
Rewarding Semantic Similarity under Optimized Alignments for AMR-to-Text Generation. ACL (2) 2022: 710-715 - [i27]Lisa Jin, Linfeng Song, Lifeng Jin, Dong Yu, Daniel Gildea:
Hierarchical Context Tagging for Utterance Rewriting. CoRR abs/2206.11218 (2022) - [i26]Chen Yu, Daniel Gildea:
Strictly Breadth-First AMR Parsing. CoRR abs/2211.03922 (2022) - 2021
- [c82]Joshua Sobel, Noah Bertram, Chen Ding, Fatemeh Nargesian, Daniel Gildea:
AWLCO: All-Window Length Co-Occurrence. CPM 2021: 24:1-24:21 - [c81]Parker Riley, Daniel Gildea:
Outside Computation with Superior Functions. NAACL-HLT 2021: 2936-2940 - [i25]Lisa Jin, Daniel Gildea:
Tree Decomposition Attention for AMR-to-Text Generation. CoRR abs/2108.12300 (2021) - [i24]Lisa Jin, Daniel Gildea:
Latent Tree Decomposition Parsers for AMR-to-Text Generation. CoRR abs/2108.12304 (2021) - 2020
- [j21]Daniel Gildea:
Efficient Outside Computation. Comput. Linguistics 46(4): 745-762 (2020) - [c80]Lisa Jin, Daniel Gildea:
Generalized Shortest-Paths Encoders for AMR-to-Text Generation. COLING 2020: 2004-2013 - [c79]Esma Balkir, Daniel Gildea, Shay B. Cohen:
Tensors over Semirings for Latent-Variable Weighted Logic Programs. IWPT 2020 2020: 73-90 - [i23]Parker Riley, Daniel Gildea:
Unsupervised Bilingual Lexicon Induction Across Writing Systems. CoRR abs/2002.00037 (2020) - [i22]Esma Balkir, Daniel Gildea, Shay B. Cohen:
Tensors over Semirings for Latent-Variable Weighted Logic Programs. CoRR abs/2006.04232 (2020) - [i21]Joshua Sobel, Noah Bertram, Chen Ding, Fatemeh Nargesian, Daniel Gildea:
AWLCO: All-Window Length Co-Occurrence. CoRR abs/2011.14460 (2020)
2010 – 2019
- 2019
- [j20]Daniel Gildea, Giorgio Satta, Xiaochang Peng:
Ordered Tree Decomposition for HRG Rule Extraction. Comput. Linguistics 45(2): 339-379 (2019) - [j19]Linfeng Song, Daniel Gildea, Yue Zhang, Zhiguo Wang, Jinsong Su:
Semantic Neural Machine Translation using AMR. Trans. Assoc. Comput. Linguistics 7: 19-31 (2019) - [c78]Linfeng Song, Daniel Gildea:
SemBleu: A Robust Metric for AMR Parsing Evaluation. ACL (1) 2019: 4547-4552 - [c77]Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su:
Leveraging Dependency Forest for Neural Medical Relation Extraction. EMNLP/IJCNLP (1) 2019: 208-218 - [i20]Linfeng Song, Daniel Gildea, Yue Zhang, Zhiguo Wang, Jinsong Su:
Semantic Neural Machine Translation using AMR. CoRR abs/1902.07282 (2019) - [i19]Md. Iftekhar Tanveer, Md. Kamrul Hasan, Daniel Gildea, Mohammed (Ehsan) Hoque:
A Causality-Guided Prediction of the TED Talk Ratings from the Speech-Transcripts using Neural Networks. CoRR abs/1905.08392 (2019) - [i18]Linfeng Song, Daniel Gildea:
SemBleu: A Robust Metric for AMR Parsing Evaluation. CoRR abs/1905.10726 (2019) - [i17]Md. Iftekhar Tanveer, Md. Kamrul Hasan, Daniel Gildea, Mohammed (Ehsan) Hoque:
Predicting TED Talk Ratings from Language and Prosody. CoRR abs/1906.03940 (2019) - [i16]Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su:
Leveraging Dependency Forest for Neural Medical Relation Extraction. CoRR abs/1911.04123 (2019) - [i15]Lisa Jin, Daniel Gildea:
AMR-to-Text Generation with Cache Transition Systems. CoRR abs/1912.01682 (2019) - 2018
- [j18]David Chiang, Frank Drewes, Daniel Gildea, Adam Lopez, Giorgio Satta:
Weighted DAG Automata for Semantic Graphs. Comput. Linguistics 44(1) (2018) - [j17]Daniel Gildea, Giorgio Satta, Xiaochang Peng:
Cache Transition Systems for Graph Parsing. Comput. Linguistics 44(1) (2018) - [j16]Mehdi Manshadi, Daniel Gildea, James F. Allen:
A Notion of Semantic Coherence for Underspecified Semantic Representation. Comput. Linguistics 44(1) (2018) - [j15]Iftekhar Naim, Parker Riley, Daniel Gildea:
Feature-Based Decipherment for Machine Translation. Comput. Linguistics 44(3) (2018) - [j14]Iftekhar Naim, Md. Iftekhar Tanveer, Daniel Gildea, Mohammed (Ehsan) Hoque:
Automated Analysis and Prediction of Job Interview Performance. IEEE Trans. Affect. Comput. 9(2): 191-204 (2018) - [c76]Xiaochang Peng, Daniel Gildea, Giorgio Satta:
AMR Parsing With Cache Transition Systems. AAAI 2018: 4897-4904 - [c75]Parker Riley, Daniel Gildea:
Orthographic Features for Bilingual Lexicon Induction. ACL (2) 2018: 390-394 - [c74]Linfeng Song, Yue Zhang, Zhiguo Wang, Daniel Gildea:
A Graph-to-Sequence Model for AMR-to-Text Generation. ACL (1) 2018: 1616-1626 - [c73]Xiaochang Peng, Linfeng Song, Daniel Gildea, Giorgio Satta:
Sequence-to-sequence Models for Cache Transition Systems. ACL (1) 2018: 1842-1852 - [c72]Yumeng (Lucinda) Liu, Daniel Busaba, Chen Ding, Daniel Gildea:
All timescale window co-occurrence: efficient analysis and a possible use. CASCON 2018: 289-292 - [c71]Linfeng Song, Yue Zhang, Zhiguo Wang, Daniel Gildea:
N-ary Relation Extraction using Graph-State LSTM. EMNLP 2018: 2226-2235 - [c70]Linfeng Song, Yue Zhang, Daniel Gildea:
Neural Transition-based Syntactic Linearization. INLG 2018: 431-440 - [c69]Linfeng Song, Zhiguo Wang, Wael Hamza, Yue Zhang, Daniel Gildea:
Leveraging Context Information for Natural Question Generation. NAACL-HLT (2) 2018: 569-574 - [i14]Linfeng Song, Yue Zhang, Zhiguo Wang, Daniel Gildea:
A Graph-to-Sequence Model for AMR-to-Text Generation. CoRR abs/1805.02473 (2018) - [i13]Linfeng Song, Yue Zhang, Zhiguo Wang, Daniel Gildea:
N-ary Relation Extraction using Graph State LSTM. CoRR abs/1808.09101 (2018) - [i12]Linfeng Song, Zhiguo Wang, Mo Yu, Yue Zhang, Radu Florian, Daniel Gildea:
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks. CoRR abs/1809.02040 (2018) - [i11]Linfeng Song, Yue Zhang, Daniel Gildea:
Neural Transition-based Syntactic Linearization. CoRR abs/1810.09609 (2018) - 2017
- [j13]Walter S. Lasecki, Christopher D. Miller, Iftekhar Naim, Raja S. Kushalnagar, Adam Sadilek, Daniel Gildea, Jeffrey P. Bigham:
Scribe: deep integration of human and machine intelligence to caption speech in real time. Commun. ACM 60(9): 93-100 (2017) - [c68]Linfeng Song, Xiaochang Peng, Yue Zhang, Zhiguo Wang, Daniel Gildea:
AMR-to-text Generation with Synchronous Node Replacement Grammar. ACL (2) 2017: 7-13 - [c67]Xiaochang Peng, Chuan Wang, Daniel Gildea, Nianwen Xue:
Addressing the Data Sparsity Issue in Neural AMR Parsing. EACL (1) 2017: 366-375 - [c66]Chester Holtz, Chuyang Ke, Daniel Gildea:
University of Rochester WMT 2017 NMT System Submission. WMT 2017: 310-314 - [i10]Linfeng Song, Xiaochang Peng, Yue Zhang, Zhiguo Wang, Daniel Gildea:
AMR-to-text Generation with Synchronous Node Replacement Grammar. CoRR abs/1702.00500 (2017) - [i9]Xiaochang Peng, Chuan Wang, Daniel Gildea, Nianwen Xue:
Addressing the Data Sparsity Issue in Neural AMR Parsing. CoRR abs/1702.05053 (2017) - 2016
- [j12]Daniel Gildea, Giorgio Satta:
Synchronous Context-Free Grammars and Optimal Parsing Strategies. Comput. Linguistics 42(2): 207-243 (2016) - [j11]Shay B. Cohen, Daniel Gildea:
Parsing Linear Context-Free Rewriting Systems with Fast Matrix Multiplication. Comput. Linguistics 42(3): 421-455 (2016) - [c65]Linfeng Song, Yue Zhang, Xiaochang Peng, Zhiguo Wang, Daniel Gildea:
AMR-to-text generation as a Traveling Salesman Problem. EMNLP 2016: 2084-2089 - [c64]Iftekhar Naim, Abdullah Al Mamun, Young Chol Song, Jiebo Luo, Henry A. Kautz, Daniel Gildea:
Aligning movies with scripts by exploiting temporal ordering constraints. ICPR 2016: 1786-1791 - [c63]Young Chol Song, Iftekhar Naim, Abdullah Al Mamun, Kaustubh Kulkarni, Parag Singla, Jiebo Luo, Daniel Gildea, Henry A. Kautz:
Unsupervised Alignment of Actions in Video with Text Descriptions. IJCAI 2016: 2025-2031 - [c62]Xiaochang Peng, Daniel Gildea:
UofR at SemEval-2016 Task 8: Learning Synchronous Hyperedge Replacement Grammar for AMR Parsing. SemEval@NAACL-HLT 2016: 1185-1189 - [c61]Linfeng Song, Zhiguo Wang, Haitao Mi, Daniel Gildea:
Sense Embedding Learning for Word Sense Induction. *SEM@ACL 2016 - [i8]Linfeng Song, Zhiguo Wang, Haitao Mi, Daniel Gildea:
Sense Embedding Learning for Word Sense Induction. CoRR abs/1606.05409 (2016) - [i7]Xiaochang Peng, Daniel Gildea:
Exploring phrase-compositionality in skip-gram models. CoRR abs/1607.06208 (2016) - [i6]Linfeng Song, Yue Zhang, Xiaochang Peng, Zhiguo Wang, Daniel Gildea:
AMR-to-text generation as a Traveling Salesman Problem. CoRR abs/1609.07451 (2016) - 2015
- [j10]David Temperley, Daniel Gildea:
Information Density and Syntactic Repetition. Cogn. Sci. 39(8): 1802-1823 (2015) - [j9]Pierluigi Crescenzi, Daniel Gildea, Andrea Marino, Gianluca Rossi, Giorgio Satta:
Synchronous context-free grammars and optimal linear parsing strategies. J. Comput. Syst. Sci. 81(7): 1333-1356 (2015) - [c60]Xiaochang Peng, Linfeng Song, Daniel Gildea:
A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing. CoNLL 2015: 32-41 - [c59]Iftekhar Naim, Mohammad Iftekhar Tanveer, Daniel Gildea, Mohammed (Ehsan) Hoque:
Automated prediction and analysis of job interview performance: The role of what you say and how you say it. FG 2015: 1-6 - [c58]Iftekhar Naim, Young Chol Song, Qiguang Liu, Liang Huang, Henry A. Kautz, Jiebo Luo, Daniel Gildea:
Discriminative Unsupervised Alignment of Natural Language Instructions with Corresponding Video Segments. HLT-NAACL 2015: 164-174 - [i5]Iftekhar Naim, Mohammad Iftekhar Tanveer, Daniel Gildea, Mohammed E. Hoque:
Automated Analysis and Prediction of Job Interview Performance. CoRR abs/1504.03425 (2015) - [i4]Shay B. Cohen, Daniel Gildea:
Parsing Linear-Context Free Rewriting Systems with Fast Matrix Multiplication. CoRR abs/1504.08342 (2015) - [i3]Iftekhar Naim, Daniel Gildea:
Feature-based Decipherment for Large Vocabulary Machine Translation. CoRR abs/1508.02142 (2015) - [i2]Daniel Gildea, T. Florian Jaeger:
Human languages order information efficiently. CoRR abs/1510.02823 (2015) - 2014
- [j8]Tagyoung Chung, Licheng Fang, Daniel Gildea, Daniel Stefankovic:
Sampling Tree Fragments from Forests. Comput. Linguistics 40(1): 203-229 (2014) - [c57]Iftekhar Naim, Young Chol Song, Qiguang Liu, Henry A. Kautz, Jiebo Luo, Daniel Gildea:
Unsupervised Alignment of Natural Language Instructions with Video Segments. AAAI 2014: 1558-1564 - [c56]Mohammad Kazemi, Rahman Lavaee, Iftekhar Naim, Daniel Gildea:
Sliding Alignment Windows for Real-Time Crowd Captioning. ACL (2) 2014: 236-240 - [c55]Xiaochang Peng, Daniel Gildea:
Type-based MCMC for Sampling Tree Fragments from Forests. EMNLP 2014: 1735-1745 - [c54]Marzieh Bazrafshan, Daniel Gildea:
Comparing Representations of Semantic Roles for String-To-Tree Decoding. EMNLP 2014: 1786-1791 - 2013
- [c53]Mehdi Hafezi Manshadi, Daniel Gildea, James F. Allen:
Integrating Programming by Example and Natural Language Programming. AAAI 2013: 661-667 - [c52]Mehdi Manshadi, Daniel Gildea, James F. Allen:
Plurality, Negation, and Quantification: Towards Comprehensive Quantifier Scope Disambiguation. ACL (1) 2013: 64-72 - [c51]Marzieh Bazrafshan, Daniel Gildea:
Semantic Roles for String to Tree Machine Translation. ACL (2) 2013: 419-423 - [c50]Elif Eyigöz, Daniel Gildea, Kemal Oflazer:
Simultaneous Word-Morpheme Alignment for Statistical Machine Translation. HLT-NAACL 2013: 32-40 - [c49]Iftekhar Naim, Daniel Gildea, Walter S. Lasecki, Jeffrey P. Bigham:
Text Alignment for Real-Time Crowd Captioning. HLT-NAACL 2013: 201-210 - [c48]Elif Eyigöz, Daniel Gildea, Kemal Oflazer:
Multi-Rate HMMs for Word Alignment. WMT@ACL 2013: 494-502 - [i1]Pierluigi Crescenzi, Daniel Gildea, Andrea Marino, Gianluca Rossi, Giorgio Satta:
Synchronous Context-Free Grammars and Optimal Linear Parsing Strategies. CoRR abs/1311.6421 (2013) - 2012
- [j7]Daniel Gildea:
On the String Translations Produced by Multi Bottom-Up Tree Transducers. Comput. Linguistics 38(3): 673-693 (2012) - [c47]Darcey Riley, Daniel Gildea:
Improving the IBM Alignment Models Using Variational Bayes. ACL (2) 2012: 306-310 - [c46]Iftekhar Naim, Daniel Gildea:
Convergence of the EM Algorithm for Gaussian Mixtures with Unbalanced Mixing Coefficients. ICML 2012 - [c45]Marzieh Bazrafshan, Tagyoung Chung, Daniel Gildea:
Tuning as Linear Regression. HLT-NAACL 2012: 543-547 - 2011
- [j6]Daniel Gildea:
Grammar Factorization by Tree Decomposition. Comput. Linguistics 37(1): 231-248 (2011) - [c44]Licheng Fang, Tagyoung Chung, Daniel Gildea:
Terminal-Aware Synchronous Binarization. ACL (2) 2011: 401-406 - [c43]Tagyoung Chung, Licheng Fang, Daniel Gildea:
Issues Concerning Decoding with Synchronous Context-free Grammar. ACL (2) 2011: 413-417 - [c42]Pierluigi Crescenzi, Daniel Gildea, Andrea Marino, Gianluca Rossi, Giorgio Satta:
Optimal Head-Driven Parsing Complexity for Linear Context-Free Rewriting Systems. ACL 2011: 450-459 - [c41]Tagyoung Chung, Licheng Fang, Daniel Gildea:
SCFG latent annotation for machine translation. IWSLT 2011: 151-158 - 2010
- [b1]Martha Palmer, Daniel Gildea, Nianwen Xue:
Semantic Role Labeling. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2010, ISBN 978-3-031-01007-1 - [j5]Daniel Gildea, David Temperley:
Do Grammars Minimize Dependency Length? Cogn. Sci. 34(2): 286-310 (2010) - [c40]Tagyoung Chung, Matt Post, Daniel Gildea:
Factors Affecting the Accuracy of Korean Parsing. SPMRL@NAACL-HLT 2010: 49-57 - [c39]Ding Liu, Daniel Gildea:
Semantic Role Features for Machine Translation. COLING 2010: 716-724 - [c38]Shaojun Zhao, Daniel Gildea:
A Fast Fertility Hidden Markov Model for Word Alignment Using MCMC. EMNLP 2010: 596-605 - [c37]Tagyoung Chung, Daniel Gildea:
Effects of Empty Categories on Machine Translation. EMNLP 2010: 636-645 - [c36]Daniel Gildea:
Optimal Parsing Strategies for Linear Context-Free Rewriting Systems. HLT-NAACL 2010: 769-776
2000 – 2009
- 2009
- [j4]Liang Huang, Hao Zhang, Daniel Gildea, Kevin Knight:
Binarization of Synchronous Context-Free Grammars. Comput. Linguistics 35(4): 559-595 (2009) - [c35]Matt Post, Daniel Gildea:
Bayesian Learning of a Tree Substitution Grammar. ACL/IJCNLP (2) 2009: 45-48 - [c34]Tagyoung Chung, Daniel Gildea:
Unsupervised Tokenization for Machine Translation. EMNLP 2009: 718-726 - [c33]Ding Liu, Daniel Gildea:
Bayesian Learning of Phrasal Tree-to-String Templates. EMNLP 2009: 1308-1317 - [c32]Matt Post, Daniel Gildea:
Weight Pushing and Binarization for Fixed-Grammar Parsing. IWPT 2009: 89-98 - 2008
- [c31]Hao Zhang, Chris Quirk, Robert C. Moore, Daniel Gildea:
Bayesian Learning of Non-Compositional Phrases with Synchronous Parsing. ACL 2008: 97-105 - [c30]Hao Zhang, Daniel Gildea:
Efficient Multi-Pass Decoding for Synchronous Context Free Grammars. ACL 2008: 209-217 - [c29]Matt Post, Daniel Gildea:
Parsers as language models for statistical machine translation. AMTA 2008: 172-181 - [c28]Hao Zhang, Daniel Gildea, David Chiang:
Extracting Synchronous Grammar Rules From Word-Level Alignments in Linear Time. COLING 2008: 1081-1088 - [c27]Ding Liu, Daniel Gildea:
Improved Tree-to-String Transducer for Machine Translation. WMT@ACL 2008: 62-69 - 2007
- [c26]Daniel Gildea, David Temperley:
Optimizing Grammars for Minimum Dependency Length. ACL 2007 - [c25]Ding Liu, Daniel Gildea:
Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation. HLT-NAACL 2007: 41-48 - [c24]Daniel Gildea, Daniel Stefankovic:
Worst-Case Synchronous Grammar Rules. HLT-NAACL 2007: 147-154 - [c23]Hao Zhang, Daniel Gildea:
Factorization of Synchronous Context-Free Grammars in Linear Time. SSST@HLT-NAACL 2007: 25-32 - 2006
- [c22]Daniel Gildea, Giorgio Satta, Hao Zhang:
Factoring Synchronous Grammars by Sorting. ACL 2006 - [c21]Ding Liu, Daniel Gildea:
Stochastic Iterative Alignment for Machine Translation Evaluation. ACL 2006 - [c20]Hao Zhang, Daniel Gildea:
Inducing Word Alignments with Bilexical Synchronous Trees. ACL 2006 - [c19]Hao Zhang, Daniel Gildea:
Efficient Search for Inversion Transduction Grammar. EMNLP 2006: 224-231 - [c18]Hao Zhang, Liang Huang, Daniel Gildea, Kevin Knight:
Synchronous Binarization for Machine Translation. HLT-NAACL 2006 - 2005
- [j3]Martha Palmer, Paul R. Kingsbury, Daniel Gildea:
The Proposition Bank: An Annotated Corpus of Semantic Roles. Comput. Linguistics 31(1): 71-106 (2005) - [c17]Ding Liu, Daniel Gildea:
Syntactic Features for Evaluation of Machine Translation. IEEvaluation@ACL 2005: 25-32 - [c16]Hao Zhang, Daniel Gildea:
Stochastic Lexicalized Inversion Transduction Grammar for Alignment. ACL 2005: 475-482 - [c15]Liang Huang, Hao Zhang, Daniel Gildea:
Machine Translation as Lexicalized Parsing with Hooks. IWPT 2005: 65-73 - [c14]Micha Elsner, Mary D. Swift, James F. Allen, Daniel Gildea:
Online Statistics for a Unification-Based Dialogue Parser. IWPT 2005: 198-199 - [e1]Ido Dagan, Daniel Gildea:
Proceedings of the Ninth Conference on Computational Natural Language Learning, CoNLL 2005, Ann Arbor, Michigan, USA, June 29-30, 2005. ACL 2005 [contents] - 2004
- [c13]Mary D. Swift, James F. Allen, Daniel Gildea:
Skeletons in the parser: Using a shallow parser to improve deep parsing. COLING 2004 - [c12]Hao Zhang, Daniel Gildea:
Syntax-Based Alignment: Supervised or Unsupervised? COLING 2004 - [c11]Daniel Gildea:
Dependencies vs. Constituents for Tree-Based Alignment. EMNLP 2004: 214-221 - [c10]Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur, Anoop Sarkar, Kenji Yamada, Alexander M. Fraser, Shankar Kumar, Libin Shen, David Smith, Katherine Eng, Viren Jain, Zhen Jin, Dragomir R. Radev:
A Smorgasbord of Features for Statistical Machine Translation. HLT-NAACL 2004: 161-168 - 2003
- [c9]Daniel Gildea:
Loosely Tree-Based Alignment for Machine Translation. ACL 2003: 80-87 - [c8]Daniel Gildea, Julia Hockenmaier:
Identifying Semantic Roles Using Combinatory Categorial Grammar. EMNLP 2003 - [c7]Yuan Ding, Daniel Gildea, Martha Palmer:
An algorithm for word-level alignment of parallel dependency trees. MTSummit 2003 - 2002
- [j2]Daniel Gildea, Daniel Jurafsky:
Automatic Labeling of Semantic Roles. Comput. Linguistics 28(3): 245-288 (2002) - [c6]Daniel Gildea, Martha Stone Palmer:
The Necessity of Parsing for Predicate Argument Recognition. ACL 2002: 239-246 - [c5]Daniel Gildea:
Probabilistic Models of Verb-Argument Structure. COLING 2002 - 2001
- [c4]Daniel Gildea:
Corpus Variation and Parser Performance. EMNLP 2001 - 2000
- [c3]Daniel Gildea, Daniel Jurafsky:
Automatic Labeling of Semantic Roles. ACL 2000: 512-520
1990 – 1999
- 1999
- [c2]Daniel Gildea, Thomas Hofmann:
Topic-based language models using EM. EUROSPEECH 1999: 2167-2170 - 1996
- [j1]Daniel Gildea, Daniel Jurafsky:
Learning Bias and Phonological-Rule Induction. Comput. Linguistics 22(4): 497-530 (1996) - 1995
- [c1]Daniel Gildea, Daniel Jurafsky:
Automatic Induction of Finite State Transducers for Simple Phonological Rules. ACL 1995: 9-15
Coauthor Index
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