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Semantic ScholarTimothy Baldwin
Tim Baldwin
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- affiliation: University of Melbourne, School of Computing and Information Systems, Australia
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2020 – today
- 2020
[c232]Bryn Jeffries, Timothy Baldwin, Marion Zalk, Ben Taylor:
Online Tutoring to Support Programming Exercises. ACE 2020: 56-65- [c231]Dat Quoc Nguyen, Zenan Zhai, Hiyori Yoshikawa, Biaoyan Fang, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Saber A. Akhondi, Trevor Cohn, Timothy Baldwin, Karin Verspoor:
ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents. ECIR (2) 2020: 572-579 - [i37]Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
You are right. I am ALARMED - But by Climate Change Counter Movement. CoRR abs/2004.14907 (2020) - [i36]Afshin Rahimi, Timothy Baldwin, Karin Verspoor:
WikiUMLS: Aligning UMLS to Wikipedia via Cross-lingual Neural Ranking. CoRR abs/2005.01281 (2020) - [i35]Kobi Leins, Jey Han Lau, Timothy Baldwin:
Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis? CoRR abs/2005.13213 (2020)
2010 – 2019
- 2019
- [j28]Tommi Jauhiainen, Marco Lui, Marcos Zampieri, Timothy Baldwin, Krister Lindén:
Automatic Language Identification in Texts: A Survey. J. Artif. Intell. Res. 65: 675-782 (2019) - [c230]Yitong Li, Timothy Baldwin, Trevor Cohn:
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference. ACL (1) 2019: 1923-1934 - [c229]Nitika Mathur, Timothy Baldwin, Trevor Cohn:
Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation. ACL (1) 2019: 2799-2808 - [c228]Qianji Di, Ekaterina Vylomova, Tim Baldwin:
Modelling Tibetan Verbal Morphology. ALTA 2019: 35-40 - [c227]Aili Shen, Bahar Salehi, Jianzhong Qi, Timothy Baldwin:
Feature-guided Neural Model Training for Supervised Document Representation Learning. ALTA 2019: 47-51 - [c226]Fajri Koto, Jey Han Lau, Timothy Baldwin:
Improved Document Modelling with a Neural Discourse Parser. ALTA 2019: 67-76 - [c225]Gaurav Arora, Afshin Rahimi, Timothy Baldwin:
Does an LSTM forget more than a CNN? An empirical study of catastrophic forgetting in NLP. ALTA 2019: 77-86 - [c224]Hiyori Yoshikawa, Dat Quoc Nguyen, Zenan Zhai, Christian Druckenbrodt, Camilo Thorne, Saber A. Akhondi, Timothy Baldwin, Karin Verspoor:
Detecting Chemical Reactions in Patents. ALTA 2019: 100-110 - [c223]Anirudh Joshi, Timothy Baldwin, Richard O. Sinnott, Cécile Paris:
Reevaluating Argument Component Extraction in Low Resource Settings. DeepLo@EMNLP-IJCNLP 2019: 219-224 - [c222]Aili Shen, Daniel Beck, Bahar Salehi, Jianzhong Qi, Timothy Baldwin:
Modelling Uncertainty in Collaborative Document Quality Assessment. W-NUT@EMNLP 2019: 191-201 - [c221]Ehsan Hamzei, Haonan Li, Maria Vasardani, Timothy Baldwin, Stephan Winter, Martin Tomko
:
Place Questions and Human-Generated Answers: A Data Analysis Approach. AGILE Conference 2019: 3-19 - [c220]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Deep Ordinal Regression for Pledge Specificity Prediction. EMNLP/IJCNLP (1) 2019: 1729-1740 - [c219]Aili Shen, Bahar Salehi, Timothy Baldwin, Jianzhong Qi:
A Joint Model for Multimodal Document Quality Assessment. JCDL 2019: 107-110 - [c218]Ekaterina Vylomova, Ryan Cotterell, Trevor Cohn, Timothy Baldwin, Jason Eisner:
Contextualization of Morphological Inflection. NAACL-HLT (1) 2019: 2018-2024 - [c217]Haonan Li, Minghan Wang, Timothy Baldwin, Martin Tomko, Maria Vasardani:
UniMelb at SemEval-2019 Task 12: Multi-model combination for toponym resolution. SemEval@NAACL-HLT 2019: 1313-1318 - [c216]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Target Based Speech Act Classification in Political Campaign Text. *SEM@NAACL-HLT 2019: 273-282 - [e10]Wei Xu, Alan Ritter, Tim Baldwin, Afshin Rahimi:
Proceedings of the 5th Workshop on Noisy User-generated Text, W-NUT@EMNLP 2019, Hong Kong, China, November 4, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-84-0 [contents] - [e9]Timothy Baldwin, Marine Carpuat:
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019 - Tutorial Abstracts. Association for Computational Linguistics 2019 [contents] - [i34]Aili Shen, Bahar Salehi, Timothy Baldwin, Jianzhong Qi:
A Joint Model for Multimodal Document Quality Assessment. CoRR abs/1901.01010 (2019) - [i33]Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn, Jason Eisner:
Contextualization of Morphological Inflection. CoRR abs/1905.01420 (2019) - [i32]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Target Based Speech Act Classification in Political Campaign Text. CoRR abs/1905.07856 (2019) - [i31]Yitong Li, Timothy Baldwin, Trevor Cohn:
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference. CoRR abs/1906.02897 (2019) - [i30]Jingyuan Zhang, Timothy Baldwin:
Evaluating the Utility of Document Embedding Vector Difference for Relation Learning. CoRR abs/1907.08184 (2019) - [i29]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Deep Ordinal Regression for Pledge Specificity Prediction. CoRR abs/1909.00187 (2019) - [i28]Fajri Koto, Jey Han Lau, Timothy Baldwin:
Improved Document Modelling with a Neural Discourse Parser. CoRR abs/1911.06919 (2019) - [i27]Preslav Nakov, Doris Hoogeveen, Lluís Màrquez, Alessandro Moschitti, Hamdy Mubarak, Timothy Baldwin, Karin Verspoor:
SemEval-2017 Task 3: Community Question Answering. CoRR abs/1912.00730 (2019) - 2018
- [j27]Doris Hoogeveen, Li Wang, Timothy Baldwin, Karin M. Verspoor:
Web Forum Retrieval and Text Analytics: A Survey. Found. Trends Inf. Retr. 12(1): 1-163 (2018) - [j26]Kareem Darwish, Walid Magdy, Afshin Rahimi, Timothy Baldwin, Norah Abokhodair:
Predicting Online Islamophobic Behavior after #ParisAttacks. J. Web Science 4(3): 34-52 (2018) - [c215]Yitong Li, Timothy Baldwin, Trevor Cohn:
Towards Robust and Privacy-preserving Text Representations. ACL (2) 2018: 25-30 - [c214]Shivashankar Subramanian, Timothy Baldwin, Trevor Cohn:
Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model. ACL (2) 2018: 182-188 - [c213]Fei Liu, Trevor Cohn, Timothy Baldwin:
Narrative Modeling with Memory Chains and Semantic Supervision. ACL (2) 2018: 278-284 - [c212]Jey Han Lau, Trevor Cohn, Timothy Baldwin, Julian Brooke, Adam Hammond:
Deep-speare: A joint neural model of poetic language, meter and rhyme. ACL (1) 2018: 1948-1958 - [c211]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
Semi-supervised User Geolocation via Graph Convolutional Networks. ACL (1) 2018: 2009-2019 - [c210]Navnita Nandakumar, Bahar Salehi, Timothy Baldwin:
A Comparative Study of Embedding Models in Predicting the Compositionality of Multiword Expressions. ALTA 2018: 71-76 - [c209]Nitika Mathur, Timothy Baldwin, Trevor Cohn:
Towards Efficient Machine Translation Evaluation by Modelling Annotators. ALTA 2018: 77-82 - [c208]Taro Miyazaki, Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
Twitter Geolocation using Knowledge-Based Methods. NUT@EMNLP 2018: 7-16 - [c207]Steven Xu, Andrew Bennett, Doris Hoogeveen, Jey Han Lau, Timothy Baldwin:
Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata. NUT@EMNLP 2018: 137-147 - [c206]Zhe Ye, Fang Li, Timothy Baldwin:
Encoding Sentiment Information into Word Vectors for Sentiment Analysis. COLING 2018: 997-1007 - [c205]Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
Topic Intrusion for Automatic Topic Model Evaluation. EMNLP 2018: 844-849 - [c204]Bahar Salehi, Fei Liu, Timothy Baldwin, Wilson Wong:
Multitask Learning for Query Segmentation in Job Search. ICTIR 2018: 179-182 - [c203]Doris Hoogeveen, Andrew Bennett, Yitong Li, Karin M. Verspoor, Timothy Baldwin:
Detecting Misflagged Duplicate Questions in Community Question-Answering Archives. ICWSM 2018: 112-120 - [c202]Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer, Justin Zobel:
A Preliminary Comparison of Job, Talent, and Web Search. IIR 2018 - [c201]Fei Liu, Trevor Cohn, Timothy Baldwin:
Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-Based Sentiment Analysis. NAACL-HLT (2) 2018: 278-283 - [c200]Yitong Li, Timothy Baldwin, Trevor Cohn:
What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training. NAACL-HLT (2) 2018: 474-479 - [c199]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Hierarchical Structured Model for Fine-to-Coarse Manifesto Text Analysis. NAACL-HLT 2018: 1964-1974 - [c198]Anirudh Joshi, Tim Baldwin, Richard O. Sinnott, Cécile Paris:
UniMelb at SemEval-2018 Task 12: Generative Implication using LSTMs, Siamese Networks and Semantic Representations with Synonym Fuzzing. SemEval@NAACL-HLT 2018: 1124-1128 - [c197]Bahar Salehi, Damiano Spina, Alistair Moffat, Sargol Sadeghi, Falk Scholer, Timothy Baldwin, Lawrence Cavedon, Mark Sanderson, Wilson Wong, Justin Zobel:
A Living Lab Study of Query Amendment in Job Search. SIGIR 2018: 905-908 - [c196]Timothy Baldwin:
Language and the Shifting Sands of Domain, Space and Time (Invited Talk). VarDial@COLING 2018 2018: 76 - [e8]Wei Xu, Alan Ritter, Tim Baldwin, Afshin Rahimi:
Proceedings of the 4th Workshop on Noisy User-generated Text, NUT@EMNLP 2018, Brussels, Belgium, November 1, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-79-7 [contents] - [i26]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
Semi-supervised User Geolocation via Graph Convolutional Networks. CoRR abs/1804.08049 (2018) - [i25]Tommi Jauhiainen, Marco Lui, Marcos Zampieri, Timothy Baldwin, Krister Lindén:
Automatic Language Identification in Texts: A Survey. CoRR abs/1804.08186 (2018) - [i24]Fei Liu, Trevor Cohn, Timothy Baldwin:
Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis. CoRR abs/1804.11019 (2018) - [i23]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Hierarchical Structured Model for Fine-to-coarse Manifesto Text Analysis. CoRR abs/1805.02823 (2018) - [i22]Yitong Li, Timothy Baldwin, Trevor Cohn:
What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training. CoRR abs/1805.06088 (2018) - [i21]Yitong Li, Timothy Baldwin, Trevor Cohn:
Towards Robust and Privacy-preserving Text Representations. CoRR abs/1805.06093 (2018) - [i20]Fei Liu, Trevor Cohn, Timothy Baldwin:
Narrative Modeling with Memory Chains and Semantic Supervision. CoRR abs/1805.06122 (2018) - [i19]Shivashankar Subramanian, Timothy Baldwin, Trevor Cohn:
Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model. CoRR abs/1805.06566 (2018) - [i18]Jey Han Lau, Trevor Cohn, Timothy Baldwin, Julian Brooke, Adam Hammond:
Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme. CoRR abs/1807.03491 (2018) - 2017
- [j25]Nikolaos Aletras, Timothy Baldwin, Jey Han Lau, Mark Stevenson:
Evaluating topic representations for exploring document collections. J. Assoc. Inf. Sci. Technol. 68(1): 154-167 (2017) - [j24]Yvette Graham, Timothy Baldwin, Alistair Moffat, Justin Zobel:
Can machine translation systems be evaluated by the crowd alone. Nat. Lang. Eng. 23(1): 3-30 (2017) - [j23]Julian Brooke, Jan Snajder, Timothy Baldwin:
Unsupervised Acquisition of Comprehensive Multiword Lexicons using Competition in an n-gram Lattice. Trans. Assoc. Comput. Linguistics 5: 455-470 (2017) - [c195]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
A Neural Model for User Geolocation and Lexical Dialectology. ACL (2) 2017: 209-216 - [c194]Jey Han Lau, Timothy Baldwin, Trevor Cohn:
Topically Driven Neural Language Model. ACL (1) 2017: 355-365 - [c193]Fei Liu, Trevor Cohn, Timothy Baldwin:
Improving End-to-End Memory Networks with Unified Weight Tying. ALTA 2017: 16-24 - [c192]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin, Julian Brooke:
Joint Sentence-Document Model for Manifesto Text Analysis. ALTA 2017: 25-33 - [c191]Aili Shen, Jianzhong Qi, Timothy Baldwin:
A Hybrid Model for Quality Assessment of Wikipedia Articles. ALTA 2017: 43-52 - [c190]Katherine Cheng, Timothy Baldwin, Karin Verspoor:
Automatic Negation and Speculation Detection in Veterinary Clinical Text. ALTA 2017: 70-78 - [c189]Ying Xu, Jey Han Lau, Timothy Baldwin, Trevor Cohn:
Decoupling Encoder and Decoder Networks for Abstractive Document Summarization. MultiLing@EACL 2017: 7-11 - [c188]Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
An Automatic Approach for Document-level Topic Model Evaluation. CoNLL 2017: 206-215 - [c187]Yitong Li, Trevor Cohn, Timothy Baldwin:
Robust Training under Linguistic Adversity. EACL (2) 2017: 21-27 - [c186]Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn:
Context-Aware Prediction of Derivational Word-forms. EACL (2) 2017: 118-124 - [c185]Yvette Graham, Qingsong Ma, Timothy Baldwin, Qun Liu, Carla Parra Escartín, Carolina Scarton:
Improving Evaluation of Document-level Machine Translation Quality Estimation. EACL (2) 2017: 356-361 - [c184]Ionut Sorodoc, Jey Han Lau, Nikolaos Aletras, Timothy Baldwin:
Multimodal Topic Labelling. EACL (2) 2017: 701-706 - [c183]Viet Nguyen, Julian Brooke, Timothy Baldwin:
Sub-character Neural Language Modelling in Japanese. SWCN@EMNLP 2017: 148-153 - [c182]Afshin Rahimi, Timothy Baldwin, Trevor Cohn:
Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks. EMNLP 2017: 167-176 - [c181]Qingsong Ma, Yvette Graham, Timothy Baldwin, Qun Liu:
Further Investigation into Reference Bias in Monolingual Evaluation of Machine Translation. EMNLP 2017: 2476-2485 - [c180]Nitika Mathur, Timothy Baldwin, Trevor Cohn:
Sequence Effects in Crowdsourced Annotations. EMNLP 2017: 2860-2865 - [c179]Fei Liu, Timothy Baldwin, Trevor Cohn:
Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields. IJCNLP(1) 2017: 555-565 - [c178]King Chan, Julian Brooke, Timothy Baldwin:
Semi-Automated Resolution of Inconsistency for a Harmonized Multiword Expression and Dependency Parse Annotation. MWE@EACL 2017: 187-193 - [c177]Preslav Nakov, Doris Hoogeveen, Lluís Màrquez, Alessandro Moschitti, Hamdy Mubarak, Timothy Baldwin, Karin Verspoor:
SemEval-2017 Task 3: Community Question Answering. SemEval@ACL 2017: 27-48 - [c176]Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer, Justin Zobel:
Understanding User Behavior in Job and Talent Search: An Initial Investigation. eCOM@SIGIR 2017 - [c175]Shivashankar Subramanian, Timothy Baldwin, Julian Brooke, Trevor Cohn:
Pairwise Webpage Coreference Classification Using Distant Supervision. WWW (Companion Volume) 2017: 841-842 - [e7]Leon Derczynski, Wei Xu, Alan Ritter, Tim Baldwin:
Proceedings of the 3rd Workshop on Noisy User-generated Text, NUT@EMNLP 2017, Copenhagen, Denmark, September 7, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-94-4 [contents] - [i17]Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn:
Context-Aware Prediction of Derivational Word-forms. CoRR abs/1702.06675 (2017) - [i16]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
A Neural Model for User Geolocation and Lexical Dialectology. CoRR abs/1704.04008 (2017) - [i15]Jey Han Lau, Timothy Baldwin, Trevor Cohn:
Topically Driven Neural Language Model. CoRR abs/1704.08012 (2017) - [i14]Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
An Automatic Approach for Document-level Topic Model Evaluation. CoRR abs/1706.05140 (2017) - [i13]Afshin Rahimi, Timothy Baldwin, Trevor Cohn:
Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks. CoRR abs/1708.04358 (2017) - [i12]Fei Liu, Timothy Baldwin, Trevor Cohn:
Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields. CoRR abs/1709.03637 (2017) - 2016
- [c174]Andrew Bennett, Timothy Baldwin, Jey Han Lau, Diana McCarthy, Francis Bond:
LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning. ACL (1) 2016 - [c173]Julian Brooke, Adam Hammond, Timothy Baldwin:
Bootstrapped Text-level Named Entity Recognition for Literature. ACL (2) 2016 - [c172]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
pigeo: A Python Geotagging Tool. ACL (System Demonstrations) 2016: 127-132 - [c171]Ekaterina Vylomova, Laura Rimell, Trevor Cohn, Timothy Baldwin:
Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning. ACL (1) 2016 - [c170]Bo Han, Afshin Rahimi, Leon Derczynski, Timothy Baldwin:
Twitter Geolocation Prediction Shared Task of the 2016 Workshop on Noisy User-generated Text. NUT@COLING 2016: 213-217 - [c169]Bahar Salehi, Paul Cook, Timothy Baldwin:
Determining the Multiword Expression Inventory of a Surprise Language. COLING 2016: 471-481 - [c168]Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
Automatic Labelling of Topics with Neural Embeddings. COLING 2016: 953-963 - [c167]Yvette Graham, Timothy Baldwin, Meghan Dowling, Maria Eskevich, Teresa Lynn, Lamia Tounsi:
Is all that Glitters in Machine Translation Quality Estimation really Gold? COLING 2016: 3124-3134 - [c166]Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Timothy Baldwin:
Named Entity Recognition for Novel Types by Transfer Learning. EMNLP 2016: 899-905 - [c165]Yitong Li, Trevor Cohn, Timothy Baldwin:
Learning Robust Representations of Text. EMNLP 2016: 1979-1985 - [c164]Richard Fothergill, Paul Cook, Timothy Baldwin:
Evaluating a Topic Modelling Approach to Measuring Corpus Similarity. LREC 2016 - [c163]Jey Han Lau, Timothy Baldwin:
The Sensitivity of Topic Coherence Evaluation to Topic Cardinality. HLT-NAACL 2016: 483-487 - [c162]Jey Han Lau, Timothy Baldwin:
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation. Rep4NLP@ACL 2016: 78-86 - [c161]Steven Xu, Huizhi Liang, Timothy Baldwin:
UNIMELB at SemEval-2016 Tasks 4A and 4B: An Ensemble of Neural Networks and a Word2Vec Based Model for Sentiment Classification. SemEval@NAACL-HLT 2016: 183-189 - [c160]Timothy Baldwin, Huizhi Liang, Bahar Salehi, Doris Hoogeveen, Yitong Li, Long Duong:
UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures. SemEval@NAACL-HLT 2016: 851-856 - [c159]Andreas Scherbakov, Ekaterina Vylomova, Fei Liu, Timothy Baldwin:
VectorWeavers at SemEval-2016 Task 10: From Incremental Meaning to Semantic Unit (phrase by phrase). SemEval@NAACL-HLT 2016: 946-952 - [c158]Julian Brooke, Alexandra L. Uitdenbogerd, Timothy Baldwin:
Melbourne at SemEval 2016 Task 11: Classifying Type-level Word Complexity using Random Forests with Corpus and Word List Features. SemEval@NAACL-HLT 2016: 975-981 - [c157]Fei Liu, Alistair Moffat, Timothy Baldwin, Xiuzhen Zhang:
Quit While Ahead: Evaluating Truncated Rankings. SIGIR 2016: 953-956 - [c156]Walid Magdy, Kareem Darwish, Norah Abokhodair, Afshin Rahimi, Timothy Baldwin:
#ISISisNotIslam or #DeportAllMuslims?: predicting unspoken views. WebSci 2016: 95-106 - [e6]Bo Han, Alan Ritter, Leon Derczynski, Wei Xu, Tim Baldwin:
Proceedings of the 2nd Workshop on Noisy User-generated Text, NUT@COLING 2016, Osaka, Japan, December 11, 2016. The COLING 2016 Organizing Committee 2016 [contents] - [i11]Andreas Scherbakov, Ekaterina Vylomova, Fei Liu, Timothy Baldwin:
From Incremental Meaning to Semantic Unit (phrase by phrase). CoRR abs/1604.04873 (2016) - [i10]Jey Han Lau, Timothy Baldwin:
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation. CoRR abs/1607.05368 (2016) - [i9]Yitong Li, Trevor Cohn, Timothy Baldwin:
Learning Robust Representations of Text. CoRR abs/1609.06082 (2016) - [i8]Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Timothy Baldwin:
Named Entity Recognition for Novel Types by Transfer Learning. CoRR abs/1610.09914 (2016) - [i7]Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
Automatic Labelling of Topics with Neural Embeddings. CoRR abs/1612.05340 (2016) - 2015
- [j22]Ned Letcher, Rebecca Dridan, Timothy Baldwin:
gDelta: a missing link in the grammar engineering toolchain. Lang. Resour. Evaluation 49(1): 51-75 (2015) - [c155]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
Twitter User Geolocation Using a Unified Text and Network Prediction Model. ACL (2) 2015: 630-636 - [c154]Julio Cesar Salinas Alvarado, Karin Verspoor, Timothy Baldwin:
Domain Adaption of Named Entity Recognition to Support Credit Risk Assessment. ALTA 2015: 84-90 - [c153]Joel Nothman, Atif Ahmad, Christoph F. Breidbach, David Malet, Timothy Baldwin:
Understanding engagement with insurgents through retweet rhetoric. ALTA 2015: 122-127 - [c152]Timothy Baldwin, Marie-Catherine de Marneffe, Bo Han, Young-Bum Kim, Alan Ritter, Wei Xu:
Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition. NUT@IJCNLP 2015: 126-135 - [c151]