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2020 – today
- 2022
[c109]Yi Zhou, Masahiro Kaneko, Danushka Bollegala:
Sense Embeddings are also Biased - Evaluating Social Biases in Static and Contextualised Sense Embeddings. ACL (1) 2022: 1924-1935- [i50]Micheal Abaho, Danushka Bollegala, Paula R. Williamson, Susanna Dodd:
Assessment of contextualised representations in detecting outcome phrases in clinical trials. CoRR abs/2203.03547 (2022) - [i49]Yi Zhou, Masahiro Kaneko, Danushka Bollegala:
Sense Embeddings are also Biased-Evaluating Social Biases in Static and Contextualised Sense Embeddings. CoRR abs/2203.07523 (2022) - [i48]Micheal Abaho, Danushka Bollegala, P. Williamson, Susanna Dodd:
Position-based Prompting for Health Outcome Generation. CoRR abs/2204.03489 (2022) - [i47]Keigo Takahashi, Danushka Bollegala:
Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models. CoRR abs/2204.07746 (2022) - [i46]Danushka Bollegala, James O'Neill:
A Survey on Word Meta-Embedding Learning. CoRR abs/2204.11660 (2022) - [i45]Danushka Bollegala:
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings. CoRR abs/2204.12386 (2022) - [i44]Huda Hakami, Mona Hakami, Angrosh Mandya, Danushka Bollegala:
Learning to Borrow - Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion. CoRR abs/2204.13097 (2022) - [i43]Masahiro Kaneko, Aizhan Imankulova, Danushka Bollegala, Naoaki Okazaki:
Gender Bias in Masked Language Models for Multiple Languages. CoRR abs/2205.00551 (2022) - 2021
- [c108]Iqra Muhammad, Danushka Bollegala, Frans Coenen, Carrol Gamble, Anna Kearney, Paula Williamson:
Document Ranking for Curated Document Databases Using BERT and Knowledge Graph Embeddings: Introducing GRAB-Rank. DaWaK 2021: 116-127 - [c107]Masahiro Kaneko, Danushka Bollegala:
Dictionary-based Debiasing of Pre-trained Word Embeddings. EACL 2021: 212-223 - [c106]Masahiro Kaneko, Danushka Bollegala:
Debiasing Pre-trained Contextualised Embeddings. EACL 2021: 1256-1266 - [c105]Danushka Bollegala, Huda Hakami, Yuichi Yoshida, Ken-ichi Kawarabayashi:
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding. EACL 2021: 1551-1565 - [c104]James O'Neill, Polina Rozenshtein, Ryuichi Kiryo, Motoko Kubota, Danushka Bollegala:
I Wish I Would Have Loved This One, But I Didn't - A Multilingual Dataset for Counterfactual Detection in Product Review. EMNLP (1) 2021: 7092-7108 - [c103]Micheal Abaho, Danushka Bollegala, Paula Williamson, Susanna Dodd:
Detect and Classify - Joint Span Detection and Classification for Health Outcomes. EMNLP (1) 2021: 8709-8721 - [c102]Mikhail Fain, Niall Twomey, Danushka Bollegala:
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora. SIGIR 2021: 2106-2110 - [i42]James O'Neill, Danushka Bollegala:
k-Neighbor Based Curriculum Sampling for Sequence Prediction. CoRR abs/2101.09313 (2021) - [i41]Masahiro Kaneko, Danushka Bollegala:
Debiasing Pre-trained Contextualised Embeddings. CoRR abs/2101.09523 (2021) - [i40]Masahiro Kaneko, Danushka Bollegala:
Dictionary-based Debiasing of Pre-trained Word Embeddings. CoRR abs/2101.09525 (2021) - [i39]Danushka Bollegala, Huda Hakami, Yuichi Yoshida, Ken-ichi Kawarabayashi:
RelWalk A Latent Variable Model Approach to Knowledge Graph Embedding. CoRR abs/2101.10070 (2021) - [i38]James O'Neill, Danushka Bollegala:
Semantically-Conditioned Negative Samples for Efficient Contrastive Learning. CoRR abs/2102.06603 (2021) - [i37]James O'Neill, Polina Rozenshtein, Ryuichi Kiryo, Motoko Kubota, Danushka Bollegala:
I Wish I Would Have Loved This One, But I Didn't - A Multilingual Dataset for Counterfactual Detection in Product Reviews. CoRR abs/2104.06893 (2021) - [i36]Masahiro Kaneko, Danushka Bollegala:
Unmasking the Mask - Evaluating Social Biases in Masked Language Models. CoRR abs/2104.07496 (2021) - [i35]Micheal Abaho, Danushka Bollegala, Paula Williamson, Susanna Dodd:
Detect and Classify - Joint Span Detection and Classification for Health Outcomes. CoRR abs/2104.07789 (2021) - [i34]Mikhail Fain, Niall Twomey, Danushka Bollegala:
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora. CoRR abs/2105.04971 (2021) - [i33]Masaru Isonuma, Junichiro Mori, Danushka Bollegala, Ichiro Sakata:
Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance. CoRR abs/2106.08007 (2021) - [i32]Yi Zhou, Danushka Bollegala:
Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy. CoRR abs/2110.02204 (2021) - 2020
- [j21]Katie Atkinson
, Trevor J. M. Bench-Capon, Danushka Bollegala:
Explanation in AI and law: Past, present and future. Artif. Intell. 289: 103387 (2020) - [j20]Yash Khemchandani, Stephen O'Hagan, Soumitra Samanta, Neil Swainston, Timothy J. Roberts, Danushka Bollegala, Douglas B. Kell:
DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach. J. Cheminformatics 12(1): 53 (2020) - [c101]Masaru Isonuma, Junichiro Mori, Danushka Bollegala, Ichiro Sakata:
Tree-Structured Neural Topic Model. ACL 2020: 800-806 - [c100]Masahiro Kaneko, Danushka Bollegala:
Autoencoding Improves Pre-trained Word Embeddings. COLING 2020: 1699-1713 - [c99]Angrosh Mandya, Danushka Bollegala, Frans Coenen:
Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction. COLING 2020: 6424-6435 - [c98]James O'Neill, Danushka Bollegala:
Meta-Embedding as Auxiliary Task Regularization. ECAI 2020: 2124-2131 - [c97]Xia Cui, Danushka Bollegala:
Multi-Source Attention for Unsupervised Domain Adaptation. AACL/IJCNLP 2020: 873-883 - [c96]Guanqun Cao, Yi Zhou, Danushka Bollegala, Shan Luo:
Spatio-temporal Attention Model for Tactile Texture Recognition. IROS 2020: 9896-9902 - [c95]Angrosh Mandya, James O'Neill, Danushka Bollegala, Frans Coenen:
Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering. LREC 2020: 2017-2025 - [c94]Danushka Bollegala, Ryuichi Kiryo, Kosuke Tsujino, Haruki Yukawa:
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction. LREC 2020: 3851-3860 - [c93]Iqra Muhammad, Danushka Bollegala, Frans Coenen, Carrol Gamble, Anna Kearney, Paula Williamson:
Maintaining Curated Document Databases Using a Learning to Rank Model: The ORRCA Experience. SGAI Conf. 2020: 345-357 - [i31]Danushka Bollegala, Ryuichi Kiryo, Kosuke Tsujino, Haruki Yukawa:
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction. CoRR abs/2002.11004 (2020) - [i30]Xia Cui, Danushka Bollegala:
Multi-source Attention for Unsupervised Domain Adaptation. CoRR abs/2004.06608 (2020) - [i29]Angrosh Mandya, Danushka Bollegala, Frans Coenen:
Contextualised Graph Attention for Improved Relation Extraction. CoRR abs/2004.10624 (2020) - [i28]Asir Saeed, Khai Mai, Pham Minh, Nguyen Tuan Duc, Danushka Bollegala:
Weakly-Supervised Neural Response Selection from an Ensemble of Task-Specialised Dialogue Agents. CoRR abs/2005.03066 (2020) - [i27]Angrosh Mandya, James O'Neill, Danushka Bollegala, Frans Coenen:
Do not let the history haunt you - Mitigating Compounding Errors in Conversational Question Answering. CoRR abs/2005.05754 (2020) - [i26]Guanqun Cao, Yi Zhou, Danushka Bollegala, Shan Luo:
Spatio-temporal Attention Model for Tactile Texture Recognition. CoRR abs/2008.04442 (2020) - [i25]Masahiro Kaneko, Danushka Bollegala:
Autoencoding Improves Pre-trained Word Embeddings. CoRR abs/2010.13094 (2020)
2010 – 2019
- 2019
- [c92]Masahiro Kaneko, Danushka Bollegala:
Gender-preserving Debiasing for Pre-trained Word Embeddings. ACL (1) 2019: 1641-1650 - [c91]Mohammed Alsuhaibani, Takanori Maehara, Danushka Bollegala:
Joint Learning of Hierarchical Word Embeddings from a Corpus and a Taxonomy. AKBC 2019 - [c90]Huda Hakami, Danushka Bollegala:
Learning Relation Representations from Word Representations. AKBC 2019 - [c89]Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson:
Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction. AKBC 2019 - [c88]Yi Zhou, Danushka Bollegala:
Predicting the Quality of Translations Without an Oracle. IC3K 2019: 3-23 - [c87]Yi Zhou, Danushka Bollegala:
Unsupervised Evaluation of Human Translation Quality. KDIR 2019: 55-64 - [c86]Alessandro Torrisi, Robert Bevan, Katie Atkinson, Danushka Bollegala, Frans Coenen:
Automated Bundle Pagination Using Machine Learning. ICAIL 2019: 244-248 - [c85]Jet-Tsyn Lee, Danushka Bollegala, Shan Luo:
"Touching to See" and "Seeing to Feel": Robotic Cross-modal Sensory Data Generation for Visual-Tactile Perception. ICRA 2019: 4276-4282 - [c84]Micheal Abaho, Danushka Bollegala, Paula R. Williamson, Susanna Dodd:
Correcting Crowdsourced Annotations to Improve Detection of Outcome Types in Evidence Based Medicine. KHD@IJCAI 2019: 1-5 - [c83]James O'Neill, Danushka Bollegala, Peter-J. Noble, Alan D. Radford:
Tick Parasitism Classification from Noisy Medical Records. KHD@IJCAI 2019: 30-34 - [c82]Robert Bevan, Alessandro Torrisi, Danushka Bollegala, Frans Coenen, Katie Atkinson:
Extracting Supporting Evidence from Medical Negligence Claim Texts. KHD@IJCAI 2019: 50-54 - [c81]Alessandro Torrisi, Robert Bevan, Katie Atkinson, Danushka Bollegala, Frans Coenen:
Combining Textual and Visual Information for Typed and Handwritten Text Separation in Legal Documents. JURIX 2019: 223-228 - [c80]Wenye Chen, Huda Hakami, Danushka Bollegala:
Learning to Compose Relational Embeddings in Knowledge Graphs. PACLING 2019: 56-66 - [c79]Huda Hakami, Danushka Bollegala:
Context-Guided Self-supervised Relation Embeddings. PACLING 2019: 67-78 - [c78]James O'Neill, Danushka Bollegala:
Learning to Evaluate Neural Language Models. PACLING 2019: 123-133 - [c77]Pavithra Rajendran, Danushka Bollegala, Simon Parsons:
A Pilot Study on Argument Simplification in Stance-Based Opinions. PACLING 2019: 218-230 - [c76]Angrosh Mandya, Danushka Bollegala, Frans Coenen:
Evaluating Co-reference Chains Based Conversation History in Conversational Question Answering. PACLING 2019: 280-292 - [c75]Xia Cui, Danushka Bollegala:
Self-Adaptation for Unsupervised Domain Adaptation. RANLP 2019: 213-222 - [i24]James O'Neill, Danushka Bollegala:
Error-Correcting Neural Sequence Prediction. CoRR abs/1901.07002 (2019) - [i23]Jet-Tsyn Lee, Danushka Bollegala, Shan Luo:
"Touching to See" and "Seeing to Feel": Robotic Cross-modal SensoryData Generation for Visual-Tactile Perception. CoRR abs/1902.06273 (2019) - [i22]Thai-Hoang Pham, Khai Mai, Minh Trung Nguyen, Nguyen Tuan Duc, Danushka Bollegala, Ryohei Sasano, Satoshi Sekine:
Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition. CoRR abs/1902.10118 (2019) - [i21]Masahiro Kaneko, Danushka Bollegala:
Gender-preserving Debiasing for Pre-trained Word Embeddings. CoRR abs/1906.00742 (2019) - [i20]James O'Neill, Danushka Bollegala:
Transfer Reward Learning for Policy Gradient-Based Text Generation. CoRR abs/1909.03622 (2019) - [i19]Danushka Bollegala, Tomoya Machide, Ken-ichi Kawarabayashi:
Anonymising Queries by Semantic Decomposition. CoRR abs/1909.05819 (2019) - [i18]Mikhail Fain, Andrey Ponikar, Ryan Fox, Danushka Bollegala:
Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA. CoRR abs/1911.12763 (2019) - 2018
- [j19]Xia Cui, Noor Al-Bazzaz, Danushka Bollegala, Frans Coenen:
A comparative study of pivot selection strategies for unsupervised cross-domain sentiment classification. Knowl. Eng. Rev. 33: e5 (2018) - [j18]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Iterative Keystroke Continuous Authentication: A Time Series Based Approach. Künstliche Intell. 32(4): 231-243 (2018) - [j17]Danushka Bollegala, Vincent Atanasov, Takanori Maehara, Ken-ichi Kawarabayashi:
ClassiNet - Predicting Missing Features for Short-Text Classification. ACM Trans. Knowl. Discov. Data 12(5): 55:1-55:29 (2018) - [c74]Danushka Bollegala, Yuichi Yoshida, Ken-ichi Kawarabayashi:
Using k-Way Co-Occurrences for Learning Word Embeddings. AAAI 2018: 5037-5044 - [c73]Khai Mai, Thai-Hoang Pham, Minh Trung Nguyen, Nguyen Tuan Duc, Danushka Bollegala, Ryohei Sasano, Satoshi Sekine:
An Empirical Study on Fine-Grained Named Entity Recognition. COLING 2018: 711-722 - [c72]Danushka Bollegala, Cong Bao:
Learning Word Meta-Embeddings by Autoencoding. COLING 2018: 1650-1661 - [c71]Huda Hakami, Kohei Hayashi, Danushka Bollegala:
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection. COLING 2018: 2493-2504 - [c70]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Spectral Analysis of Keystroke Streams: Towards Effective Real-time Continuous User Authentication. ICISSP 2018: 62-73 - [c69]Danushka Bollegala, Kohei Hayashi, Ken-ichi Kawarabayashi:
Think Globally, Embed Locally - Locally Linear Meta-embedding of Words. IJCAI 2018: 3970-3976 - [c68]Robert Bevan, Alessandro Torrisi, Katie Atkinson, Danushka Bollegala, Frans Coenen:
Efficient and Effective Case Reject-Accept Filtering: A Study Using Machine Learning. JURIX 2018: 171-175 - [c67]Mohammed Alsuhaibani, Danushka Bollegala:
Joint Learning of Sense and Word Embeddings. LREC 2018 - [c66]Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson:
A Dataset for Inter-Sentence Relation Extraction using Distant Supervision. LREC 2018 - [c65]Pavithra Rajendran, Danushka Bollegala, Simon Parsons:
Sentiment-Stance-Specificity (SSS) Dataset: Identifying Support-based Entailment among Opinions. LREC 2018 - [c64]Mamdouh Farouk, Mitsuru Ishizuka, Danushka Bollegala:
Graph Matching Based Semantic Search Engine. MTSR 2018: 89-100 - [c63]Pavithra Rajendran, Danushka Bollegala, Simon Parsons:
Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset. NAACL-HLT (2) 2018: 28-34 - [c62]Joshua Coates, Danushka Bollegala:
Frustratingly Easy Meta-Embedding - Computing Meta-Embeddings by Averaging Source Word Embeddings. NAACL-HLT (2) 2018: 194-198 - [c61]Krasen Samardzhiev, Andrew Gargett, Danushka Bollegala:
Learning Neural Word Salience Scores. *SEM@NAACL-HLT 2018: 33-42 - [c60]Xia Cui, Sadamori Kojaku, Naoki Masuda, Danushka Bollegala:
Solving Feature Sparseness in Text Classification using Core-Periphery Decomposition. *SEM@NAACL-HLT 2018: 255-264 - [i17]Danushka Bollegala, Vincent Atanasov, Takanori Maehara, Ken-ichi Kawarabayashi:
ClassiNet - Predicting Missing Features for Short-Text Classification. CoRR abs/1804.05260 (2018) - [i16]Joshua Coates, Danushka Bollegala:
Frustratingly Easy Meta-Embedding - Computing Meta-Embeddings by Averaging Source Word Embeddings. CoRR abs/1804.05262 (2018) - [i15]James O'Neill, Danushka Bollegala:
Angular-Based Word Meta-Embedding Learning. CoRR abs/1808.04334 (2018) - [i14]James O'Neill, Danushka Bollegala:
Semi-Supervised Multi-Task Word Embeddings. CoRR abs/1809.05886 (2018) - [i13]James O'Neill, Danushka Bollegala:
Curriculum-Based Neighborhood Sampling For Sequence Prediction. CoRR abs/1809.05916 (2018) - [i12]Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson:
Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction. CoRR abs/1811.00845 (2018) - [i11]James O'Neill, Danushka Bollegala:
Analysing Dropout and Compounding Errors in Neural Language Models. CoRR abs/1811.00998 (2018) - 2017
- [j16]Danushka Bollegala:
Dynamic feature scaling for online learning of binary classifiers. Knowl. Based Syst. 129: 97-105 (2017) - [j15]Huda Hakami, Danushka Bollegala:
Compositional approaches for representing relations between words: A comparative study. Knowl. Based Syst. 136: 172-182 (2017) - [j14]Huda Hakami, Danushka Bollegala:
A classification approach for detecting cross-lingual biomedical term translations. Nat. Lang. Eng. 23(1): 31-51 (2017) - [c59]Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson:
Classifier-Based Pattern Selection Approach for Relation Instance Extraction. CICLing (1) 2017: 418-434 - [c58]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Behavioural Biometric Continuous User Authentication Using Multivariate Keystroke Streams in the Spectral Domain. IC3K 2017: 43-66 - [c57]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Accurate Continuous and Non-intrusive User Authentication with Multivariate Keystroke Streaming. KDIR 2017: 61-70 - [c56]Matias Garcia-Constantino, Katie Atkinson, Danushka Bollegala, Karl Chapman, Frans Coenen, Claire Roberts, Katy Robson:
CLIEL: context-based information extraction from commercial law documents. ICAIL 2017: 79-87 - [c55]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Spectral Keyboard Streams: Towards Effective and Continuous Authentication. ICDM Workshops 2017: 242-249 - [c54]Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson:
Frame-Based Semantic Patterns for Relation Extraction. PACLING 2017: 51-62 - [c53]Huda Hakami, Angrosh Mandya, Danushka Bollegala:
Discovering Representative Space for Relational Similarity Measurement. PACLING 2017: 76-87 - [c52]Xia Cui, Frans Coenen, Danushka Bollegala:
Effect of Data Imbalance on Unsupervised Domain Adaptation of Part-of-Speech Tagging and Pivot Selection Strategies. LIDTA@PKDD/ECML 2017: 103-115 - [c51]Xia Cui, Frans Coenen, Danushka Bollegala:
TSP: Learning Task-Specific Pivots for Unsupervised Domain Adaptation. ECML/PKDD (2) 2017: 754-771 - [i10]Krasen Samardzhiev, Andrew Gargett, Danushka Bollegala:
Learning Neural Word Salience Scores. CoRR abs/1709.01186 (2017) - [i9]Huda Hakami, Danushka Bollegala:
Compositional Approaches for Representing Relations Between Words: A Comparative Study. CoRR abs/1709.01193 (2017) - [i8]Danushka Bollegala, Yuichi Yoshida, Ken-ichi Kawarabayashi:
Using $k$-way Co-occurrences for Learning Word Embeddings. CoRR abs/1709.01199 (2017) - [i7]Danushka Bollegala, Kohei Hayashi, Ken-ichi Kawarabayashi:
Think Globally, Embed Locally - Locally Linear Meta-embedding of Words. CoRR abs/1709.06671 (2017) - [i6]Huda Hakami, Kohei Hayashi, Danushka Bollegala:
An Optimality Proof for the PairDiff operator for Representing Relations between Words. CoRR abs/1709.06673 (2017) - 2016
- [j13]Danushka Bollegala, Tingting Mu, John Yannis Goulermas:
Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings. IEEE Trans. Knowl. Data Eng. 28(2): 398-410 (2016) - [c50]Danushka Bollegala, Mohammed Alsuhaibani, Takanori Maehara, Ken-ichi Kawarabayashi:
Joint Word Representation Learning Using a Corpus and a Semantic Lexicon. AAAI 2016: 2690-2696 - [c49]Pavithra Rajendran, Danushka Bollegala, Simon Parsons:
Contextual stance classification of opinions: A step towards enthymeme reconstruction in online reviews. ArgMining@ACL 2016 - [c48]Pavithra Rajendran, Danushka Bollegala, Simon Parsons:
Assessing Weight of Opinion by Aggregating Coalitions of Arguments. COMMA 2016: 431-438 - [c47]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Keyboard Usage Authentication Using Time Series Analysis. DaWaK 2016: 239-252 - [c46]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Towards Keystroke Continuous Authentication Using Time Series Analytics. SGAI Conf. 2016: 325-339 - 2015
- [j12]Hiroyuki Sato, Yoshihiko Hasegawa, Danushka Bollegala, Hitoshi Iba:
Improved sampling using loopy belief propagation for probabilistic model building genetic programming. Swarm Evol. Comput. 23: 1-10 (2015) - [c45]Danushka Bollegala, Takanori Maehara, Yuichi Yoshida, Ken-ichi Kawarabayashi:
Learning Word Representations from Relational Graphs. AAAI 2015: 2146-2152 - [c44]Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi:
Unsupervised Cross-Domain Word Representation Learning. ACL (1) 2015: 730-740 - [c43]Pascal Kuyten, Danushka Bollegala, Bernd Hollerit, Helmut Prendinger, Kiyoharu Aizawa:
A Discourse Search Engine Based on Rhetorical Structure Theory. ECIR 2015: 80-91 - [c42]Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi:
Embedding Semantic Relations into Word Representations. IJCAI 2015: 1222-1228 - [c41]Toshihiko Yamasaki, Yusuke Fukushima, Ryosuke Furuta, Litian Sun, Kiyoharu Aizawa, Danushka Bollegala:
Prediction of User Ratings of Oral Presentations using Label Relations. ASM@ACM Multimedia 2015: 33-38 - [i5]