NLPExplorer
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#ACL2020
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Team
Jey Han Lau
Number of Papers:- 32
Number of Citations:- 245
First ACL Paper:- 2010
Latest ACL Paper:- 2020
Venues:-
ALTA
COLING
AACL
WS
Rep4NLP
IJCNLP
EMNLP
ACL
MultiLing
TACL
EACL
*SEMEVAL
CoNLL
NAACL
Co-Authors:-
Adam Hammond
Afshin Rahimi
Alexander Clark
Andrew Bennett
Binyang Li
Similar Authors:-
Chien Pang Wang
Yi Cheng Yu
Chu Yuan
Yi Lin Chu
Feng Shi
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis?
ACL
kobi leins |
Jey Han Lau |
Timothy Baldwin |
Liputan6: A Large-scale Indonesian Dataset for Text Summarization
AACL
Fajri Koto |
Jey Han Lau |
Timothy Baldwin |
IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP
COLING
Fajri Koto |
Afshin Rahimi |
Jey Han Lau |
Timothy Baldwin |
How Furiously Can Colorless Green Ideas Sleep? Sentence Acceptability in Context
TACL
Jey Han Lau |
Carlos Armendariz |
Shalom Lappin |
Matthew Purver |
Chang Shu |
Early Rumour Detection
NAACL
Kaimin Zhou |
Chang Shu |
Binyang Li |
Jey Han Lau |
Improved Document Modelling with a Neural Discourse Parser
ALTA
Fajri Koto |
Jey Han Lau |
Timothy Baldwin |
From Shakespeare to Li-Bai: Adapting a Sonnet Model to Chinese Poetry
ALTA
Zhuohan Xie |
Jey Han Lau |
Trevor Cohn |
Topic Intrusion for Automatic Topic Model Evaluation
EMNLP
Shraey Bhatia |
Jey Han Lau |
Timothy Baldwin |
Deep-speare: A joint neural model of poetic language, meter and rhyme
ACL
Jey Han Lau |
Trevor Cohn |
Timothy Baldwin |
Julian Brooke |
Adam Hammond |
The Influence of Context on Sentence Acceptability Judgements
ACL
Jean-Philippe Bernardy |
Shalom Lappin |
Jey Han Lau |
Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata
EMNLP
WS
Steven Xu |
Andrew Bennett |
Doris Hoogeveen |
Jey Han Lau |
Timothy Baldwin |
Multimodal Topic Labelling
EACL
Ionut Sorodoc |
Jey Han Lau |
Nikolaos Aletras |
Timothy Baldwin |
End-to-end Network for Twitter Geolocation Prediction and Hashing
IJCNLP
Jey Han Lau |
Lianhua Chi |
Khoi-Nguyen Tran |
Trevor Cohn |
An Automatic Approach for Document-level Topic Model Evaluation
CoNLL
Shraey Bhatia |
Jey Han Lau |
Timothy Baldwin |
Topically Driven Neural Language Model
ACL
Jey Han Lau |
Timothy Baldwin |
Trevor Cohn |
Decoupling Encoder and Decoder Networks for Abstractive Document Summarization
MultiLing
WS
Ying Xu |
Jey Han Lau |
Timothy Baldwin |
Trevor Cohn |
Automatic Labelling of Topics with Neural Embeddings
COLING
Shraey Bhatia |
Jey Han Lau |
Timothy Baldwin |
The Sensitivity of Topic Coherence Evaluation to Topic Cardinality
NAACL
Jey Han Lau |
Timothy Baldwin |
LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning
ACL
Andrew Bennett |
Timothy Baldwin |
Jey Han Lau |
Diana McCarthy |
Francis Bond |
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation
Rep4NLP
WS
Jey Han Lau |
Timothy Baldwin |
Unsupervised Prediction of Acceptability Judgements
ACL
IJCNLP
Jey Han Lau |
Alexander Clark |
Shalom Lappin |
Novel Word-sense Identification
COLING
Paul Cook |
Jey Han Lau |
Diana McCarthy |
Timothy Baldwin |
Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality
EACL
Jey Han Lau |
David Newman |
Timothy Baldwin |
Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models
ACL
Jey Han Lau |
Paul Cook |
Diana McCarthy |
Spandana Gella |
Timothy Baldwin |
Automatic Detection and Language Identification of Multilingual Documents
TACL
Marco Lui |
Jey Han Lau |
Timothy Baldwin |
Unsupervised Word Class Induction for Under-resourced Languages: A Case Study on Indonesian
IJCNLP
Meladel Mistica |
Jey Han Lau |
Timothy Baldwin |
unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering
*SEMEVAL
Jey Han Lau |
Paul Cook |
Timothy Baldwin |
unimelb: Topic Modelling-based Word Sense Induction
*SEMEVAL
Jey Han Lau |
Paul Cook |
Timothy Baldwin |
On-line Trend Analysis with Topic Models: #twitter Trends Detection Topic Model Online
COLING
Jey Han Lau |
Nigel Collier |
Timothy Baldwin |
Bayesian Text Segmentation for Index Term Identification and Keyphrase Extraction
COLING
David Newman |
Nagendra Koilada |
Jey Han Lau |
Timothy Baldwin |
Word Sense Induction for Novel Sense Detection
EACL
Jey Han Lau |
Paul Cook |
Diana McCarthy |
David Newman |
Timothy Baldwin |
Automatic Labelling of Topic Models
ACL
Jey Han Lau |
Karl Grieser |
David Newman |
Timothy Baldwin |
Best Topic Word Selection for Topic Labelling
COLING
Jey Han Lau |
David Newman |
Sarvnaz Karimi |
Timothy Baldwin |
Automatic Evaluation of Topic Coherence
NAACL
David Newman |
Jey Han Lau |
Karl Grieser |
Timothy Baldwin |
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