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Semantic ScholarTimothy Baldwin
Tim Baldwin
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- affiliation: University of Melbourne
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2010 – today
- 2019
[i27]Aili Shen, Bahar Salehi, Timothy Baldwin, Jianzhong Qi:
A Joint Model for Multimodal Document Quality Assessment. CoRR abs/1901.01010 (2019)- 2018
- [j27]Doris Hoogeveen, Li Wang, Timothy Baldwin, Karin M. Verspoor:
Web Forum Retrieval and Text Analytics: A Survey. Foundations and Trends in Information Retrieval 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) - [c212]Yitong Li, Timothy Baldwin, Trevor Cohn:
Towards Robust and Privacy-preserving Text Representations. ACL (2) 2018: 25-30 - [c211]Shivashankar Subramanian, Timothy Baldwin, Trevor Cohn:
Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model. ACL (2) 2018: 182-188 - [c210]Fei Liu, Trevor Cohn, Timothy Baldwin:
Narrative Modeling with Memory Chains and Semantic Supervision. ACL (2) 2018: 278-284 - [c209]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 - [c208]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
Semi-supervised User Geolocation via Graph Convolutional Networks. ACL (1) 2018: 2009-2019 - [c207]Taro Miyazaki, Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
Twitter Geolocation using Knowledge-Based Methods. NUT@EMNLP 2018: 7-16 - [c206]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 - [c205]Zhe Ye, Fang Li, Timothy Baldwin:
Encoding Sentiment Information into Word Vectors for Sentiment Analysis. COLING 2018: 997-1007 - [c204]Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
Topic Intrusion for Automatic Topic Model Evaluation. EMNLP 2018: 844-849 - [c203]Bahar Salehi, Fei Liu, Timothy Baldwin, Wilson Wong:
Multitask Learning for Query Segmentation in Job Search. ICTIR 2018: 179-182 - [c202]Doris Hoogeveen, Andrew Bennett, Yitong Li, Karin M. Verspoor, Timothy Baldwin:
Detecting Misflagged Duplicate Questions in Community Question-Answering Archives. ICWSM 2018: 112-120 - [c201]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 - [c200]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 - [c199]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 - [c198]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Hierarchical Structured Model for Fine-to-Coarse Manifesto Text Analysis. NAACL-HLT 2018: 1964-1974 - [c197]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 - [c196]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 - [c195]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. JASIST 68(1): 154-167 (2017) - [j24]Yvette Graham, Timothy Baldwin, Alistair Moffat, Justin Zobel:
Can machine translation systems be evaluated by the crowd alone. Natural Language Engineering 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. TACL 5: 455-470 (2017) - [c194]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
A Neural Model for User Geolocation and Lexical Dialectology. ACL (2) 2017: 209-216 - [c193]Jey Han Lau, Timothy Baldwin, Trevor Cohn:
Topically Driven Neural Language Model. ACL (1) 2017: 355-365 - [c192]Fei Liu, Trevor Cohn, Timothy Baldwin:
Improving End-to-End Memory Networks with Unified Weight Tying. ALTA 2017: 16-24 - [c191]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin, Julian Brooke:
Joint Sentence-Document Model for Manifesto Text Analysis. ALTA 2017: 25-33 - [c190]Aili Shen, Jianzhong Qi, Timothy Baldwin:
A Hybrid Model for Quality Assessment of Wikipedia Articles. ALTA 2017: 43-52 - [c189]Katherine Cheng, Timothy Baldwin, Karin Verspoor:
Automatic Negation and Speculation Detection in Veterinary Clinical Text. ALTA 2017: 70-78 - [c188]Ying Xu, Jey Han Lau, Timothy Baldwin, Trevor Cohn:
Decoupling Encoder and Decoder Networks for Abstractive Document Summarization. MultiLing@EACL 2017: 7-11 - [c187]Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
An Automatic Approach for Document-level Topic Model Evaluation. CoNLL 2017: 206-215 - [c186]Timothy Baldwin, Trevor Cohn, Yitong Li:
Robust Training under Linguistic Adversity. EACL (2) 2017: 21-27 - [c185]Timothy Baldwin, Trevor Cohn, Ekaterina Vylomova, Ryan Cotterell:
Context-Aware Prediction of Derivational Word-forms. EACL (2) 2017: 118-124 - [c184]Timothy Baldwin, Qun Liu, Yvette Graham, Carolina Scarton, Qingsong Ma, Carla Parra Escartín:
Improving Evaluation of Document-level Machine Translation Quality Estimation. EACL (2) 2017: 356-361 - [c183]Timothy Baldwin, Jey Han Lau, Nikolaos Aletras, Ionut Sorodoc:
Multimodal Topic Labelling. EACL (2) 2017: 701-706 - [c182]Viet Nguyen, Julian Brooke, Timothy Baldwin:
Sub-character Neural Language Modelling in Japanese. SWCN@EMNLP 2017: 148-153 - [c181]Afshin Rahimi, Timothy Baldwin, Trevor Cohn:
Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks. EMNLP 2017: 167-176 - [c180]Qingsong Ma, Yvette Graham, Timothy Baldwin, Qun Liu:
Further Investigation into Reference Bias in Monolingual Evaluation of Machine Translation. EMNLP 2017: 2476-2485 - [c179]Nitika Mathur, Timothy Baldwin, Trevor Cohn:
Sequence Effects in Crowdsourced Annotations. EMNLP 2017: 2860-2865 - [c178]Fei Liu, Timothy Baldwin, Trevor Cohn:
Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields. IJCNLP(1) 2017: 555-565 - [c177]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 - [c176]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 - [c175]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 - [c174]S. 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
- [c173]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 - [c172]Julian Brooke, Adam Hammond, Timothy Baldwin:
Bootstrapped Text-level Named Entity Recognition for Literature. ACL (2) 2016 - [c171]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
pigeo: A Python Geotagging Tool. ACL (System Demonstrations) 2016: 127-132 - [c170]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 - [c169]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 - [c168]Bahar Salehi, Paul Cook, Timothy Baldwin:
Determining the Multiword Expression Inventory of a Surprise Language. COLING 2016: 471-481 - [c167]Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
Automatic Labelling of Topics with Neural Embeddings. COLING 2016: 953-963 - [c166]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 - [c165]Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Timothy Baldwin:
Named Entity Recognition for Novel Types by Transfer Learning. EMNLP 2016: 899-905 - [c164]Yitong Li, Trevor Cohn, Timothy Baldwin:
Learning Robust Representations of Text. EMNLP 2016: 1979-1985 - [c163]Richard Fothergill, Paul Cook, Timothy Baldwin:
Evaluating a Topic Modelling Approach to Measuring Corpus Similarity. LREC 2016 - [c162]Jey Han Lau, Timothy Baldwin:
The Sensitivity of Topic Coherence Evaluation to Topic Cardinality. HLT-NAACL 2016: 483-487 - [c161]Jey Han Lau, Timothy Baldwin:
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation. Rep4NLP@ACL 2016: 78-86 - [c160]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 - [c159]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 - [c158]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 - [c157]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 - [c156]Fei Liu, Alistair Moffat, Timothy Baldwin, Xiuzhen Zhang:
Quit While Ahead: Evaluating Truncated Rankings. SIGIR 2016: 953-956 - [c155]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. Language Resources and Evaluation 49(1): 51-75 (2015) - [c154]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
Twitter User Geolocation Using a Unified Text and Network Prediction Model. ACL (2) 2015: 630-636 - [c153]Julio Cesar Salinas Alvarado, Karin Verspoor, Timothy Baldwin:
Domain Adaption of Named Entity Recognition to Support Credit Risk Assessment. ALTA 2015: 84-90 - [c152]Joel Nothman, Atif Ahmad, Christoph Breidbach, David Malet, Timothy Baldwin:
Understanding engagement with insurgents through retweet rhetoric. ALTA 2015: 122-127 - [c151]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 - [c150]Doris Hoogeveen, Karin M. Verspoor, Timothy Baldwin:
CQADupStack: A Benchmark Data Set for Community Question-Answering Research. ADCS 2015: 3:1-3:8 - [c149]Wanqiu Kou, Fang Li, Timothy Baldwin:
Automatic Labelling of Topic Models Using Word Vectors and Letter Trigram Vectors. AIRS 2015: 253-264 - [c148]Huizhi Liang, Timothy Baldwin:
A Probabilistic Rating Auto-encoder for Personalized Recommender Systems. CIKM 2015: 1863-1866 - [c147]Nikolaos Aletras, Jey Han Lau, Timothy Baldwin, Mark Stevenson:
TM 2015 - Topic Models: Post-Processing and Applications Workshop. CIKM 2015: 1953-1954 - [c146]Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Nathan Schneider, Timothy Baldwin:
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks. CoNLL 2015: 83-93 - [c145]André Dittrich, Maria Vasardani, Stephan Winter, Timothy Baldwin, Fei Liu:
A Classification Schema for Fast Disambiguation of Spatial Prepositions. IWGS 2015: 78-86 - [c144]Bahar Salehi, Nitika Mathur, Paul Cook, Timothy Baldwin:
The Impact of Multiword Expression Compositionality on Machine Translation Evaluation. MWE@NAACL-HLT 2015: 54-59 - [c143]Bahar Salehi, Paul Cook, Timothy Baldwin:
A Word Embedding Approach to Predicting the Compositionality of Multiword Expressions. HLT-NAACL 2015: 977-983 - [c142]Yvette Graham, Timothy Baldwin, Nitika Mathur:
Accurate Evaluation of Segment-level Machine Translation Metrics. HLT-NAACL 2015: 1183-1191 - [c141]Afshin Rahimi, Duy Vu, Trevor Cohn, Timothy Baldwin:
Exploiting Text and Network Context for Geolocation of Social Media Users. HLT-NAACL 2015: 1362-1367 - [c140]Huizhi Liang, Richard Fothergill, Timothy Baldwin:
RoseMerry: A Baseline Message-level Sentiment Classification System. SemEval@NAACL-HLT 2015: 551-555 - [c139]Clint Burford, Steven Bird, Timothy Baldwin:
Collective Document Classification with Implicit Inter-document Semantic Relationships. *SEM@NAACL-HLT 2015: 106-116 - [e5]Nikolaos Aletras, Jey Han Lau, Timothy Baldwin, Mark Stevenson:
Proceedings of the 2015 Workshop on Topic Models: Post-Processing and Applications, TM 2015, Melbourne, Australia, October 19, 2015. ACM 2015, ISBN 978-1-4503-3784-7 [contents] - [e4]Michael Roth, Annie Louis, Bonnie L. Webber, Timothy Baldwin:
Proceedings of the First Workshop on Linking Computational Models of Lexical, Sentential and Discourse-level Semantics, LSDSem@EMNLP 2015, Lisbon, Portugal, September 18, 2015. Association for Computational Linguistics 2015, ISBN 978-1-941643-32-7 [contents] - [i6]Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Nathan Schneider, Timothy Baldwin:
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representation on Sequence Labelling Tasks. CoRR abs/1504.05319 (2015) - [i5]Afshin Rahimi, Duy Vu, Trevor Cohn, Timothy Baldwin:
Exploiting Text and Network Context for Geolocation of Social Media Users. CoRR abs/1506.04803 (2015) - [i4]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
Twitter User Geolocation Using a Unified Text and Network Prediction Model. CoRR abs/1506.08259 (2015) - [i3]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. CoRR abs/1509.01692 (2015) - 2014
- [j21]Bo Han, Paul Cook, Timothy Baldwin:
Text-Based Twitter User Geolocation Prediction. J. Artif. Intell. Res. 49: 451-500 (2014) - [j20]Marco Lui, Jey Han Lau, Timothy Baldwin:
Automatic Detection and Language Identification of Multilingual Documents. TACL 2: 27-40 (2014) - [c138]Gintare Grigonyte, Timothy Baldwin:
Automatic Detection of Multilingual Dictionaries on the Web. ACL (2) 2014: 93-98 - [c137]Jey Han Lau, Paul Cook, Diana McCarthy, Spandana Gella, Timothy Baldwin:
Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models. ACL (1) 2014: 259-270 - [c136]Paul Cook, Jey Han Lau, Diana McCarthy, Timothy Baldwin:
Novel Word-sense Identification. COLING 2014: 1624-1635 - [c135]Spandana Gella, Paul Cook, Timothy Baldwin:
One Sense per Tweeter ... and Other Lexical Semantic Tales of Twitter. EACL 2014: 215-220 - [c134]Yvette Graham, Timothy Baldwin, Alistair Moffat, Justin Zobel:
Is Machine Translation Getting Better over Time? EACL 2014: 443-451 - [c133]Bahar Salehi, Paul Cook, Timothy Baldwin:
Using Distributional Similarity of Multi-way Translations to Predict Multiword Expression Compositionality. EACL 2014: 472-481 - [c132]Jey Han Lau, David Newman, Timothy Baldwin:
Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality. EACL 2014: 530-539 - [c131]Yvette Graham, Timothy Baldwin:
Testing for Significance of Increased Correlation with Human Judgment. EMNLP 2014: 172-176 - [c130]Bahar Salehi, Paul Cook, Timothy Baldwin:
Detecting Non-compositional MWE Components using Wiktionary. EMNLP 2014: 1792-1797 - [c129]Jan Oliver Wallgrün, Alexander Klippel, Timothy Baldwin:
Building a corpus of spatial relational expressions extracted from web documents. GIR 2014: 6:1-6:8 - [c128]Nikolaos Aletras, Timothy Baldwin, Jey Han Lau, Mark Stevenson:
Representing topics labels for exploring digital libraries. JCDL 2014: 239-248