2025
The Gaps between Fine Tuning and In-context Learning in Bias Evaluation and Debiasing.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Multimodal zero-shot learning for tactile texture recognition.
Robotics Auton. Syst., 2024
Community knowledge graph abstraction for enhanced link prediction: A study on PubMed knowledge graph.
J. Biomed. Informatics, 2024
Improving Unsupervised Constituency Parsing via Maximizing Semantic Information.
CoRR, 2024
Investigating the Contextualised Word Embedding Dimensions Responsible for Contextual and Temporal Semantic Changes.
CoRR, 2024
Constituents Correspond to Word Sequence Patterns among Sentences with Equivalent Predicate-Argument Structures: Unsupervised Constituency Parsing by Span Matching.
CoRR, 2024
Eagle: Ethical Dataset Given from Real Interactions.
CoRR, 2024
Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting.
CoRR, 2024
The Gaps between Pre-train and Downstream Settings in Bias Evaluation and Debiasing.
CoRR, 2024
Report on the 2nd Symposium on NLP for Social Good.
Proceedings of the 2nd Symposium on NLP for Social Good (NSG 2024), 2024
Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
In-Contextual Gender Bias Suppression for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Report on the 1st Symposium on NLP for Social: Good (NSG 2023).
SIGIR Forum, December, 2023
Can Word Sense Distribution Detect Semantic Changes of Words?
CoRR, 2023
In-Contextual Bias Suppression for Large Language Models.
CoRR, 2023
Together We Make Sense - Learning Meta-Sense Embeddings from Pretrained Static Sense Embeddings.
CoRR, 2023
Metrics for quantifying isotropy in high dimensional unsupervised clustering tasks in a materials context.
CoRR, 2023
Solving Cosine Similarity Underestimation between High Frequency Words by L2 Norm Discounting.
CoRR, 2023
Learn from Incomplete Tactile Data: Tactile Representation Learning with Masked Autoencoders.
IROS, 2023
Learning to Predict Concept Ordering for Common Sense Generation.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023
Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
A Word Sense Distribution-based approach for Semantic Change Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Swap and Predict - Predicting the Semantic Changes in Words across Corpora by Context Swapping.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Evaluating the Robustness of Discrete Prompts.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Solving Cosine Similarity Underestimation between High Frequency Words by \ell₂ Norm Discounting.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Together We Make Sense-Learning Meta-Sense Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Improvement of intervention information detection for automated clinical literature screening during systematic review.
J. Biomed. Informatics, 2022
On the Curious Case of 𝓁<sup>2</sup> norm of Sense Embeddings.
CoRR, 2022
Random projections and Kernelised Leave One Cluster Out Cross-Validation: Universal baselines and evaluation tools for supervised machine learning for materials properties.
CoRR, 2022
Assessment of contextualised representations in detecting outcome phrases in clinical trials.
CoRR, 2022
Gender Bias in Masked Language Models for Multiple Languages.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Learning to Borrow- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Query Obfuscation by Semantic Decomposition.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
A Survey on Word Meta-Embedding Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
On the Curious Case of l2 norm of Sense Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Gender Bias in Meta-Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Debiasing Isn't Enough! - on the Effectiveness of Debiasing MLMs and Their Social Biases in Downstream Tasks.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Position-based Prompting for Health Outcome Generation.
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022
Sense Embeddings are also Biased - Evaluating Social Biases in Static and Contextualised Sense Embeddings.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Unmasking the Mask - Evaluating Social Biases in Masked Language Models.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance.
Trans. Assoc. Comput. Linguistics, 2021
I Wish I Would Have Loved This One, But I Didn't - A Multilingual Dataset for Counterfactual Detection in Product Reviews.
CoRR, 2021
Semantically-Conditioned Negative Samples for Efficient Contrastive Learning.
CoRR, 2021
k-Neighbor Based Curriculum Sampling for Sequence Prediction.
CoRR, 2021
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy.
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, 2021
I Wish I Would Have Loved This One, But I Didn't - A Multilingual Dataset for Counterfactual Detection in Product Review.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Detect and Classify - Joint Span Detection and Classification for Health Outcomes.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Debiasing Pre-trained Contextualised Embeddings.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Dictionary-based Debiasing of Pre-trained Word Embeddings.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Document Ranking for Curated Document Databases Using BERT and Knowledge Graph Embeddings: Introducing GRAB-Rank.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2021
2020
DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach.
J. Cheminformatics, 2020
Weakly-Supervised Neural Response Selection from an Ensemble of Task-Specialised Dialogue Agents.
CoRR, 2020
Contextualised Graph Attention for Improved Relation Extraction.
CoRR, 2020
Explanation in AI and law: Past, present and future.
Artif. Intell., 2020
Maintaining Curated Document Databases Using a Learning to Rank Model: The ORRCA Experience.
Proceedings of the Artificial Intelligence XXXVII, 2020
Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Spatio-temporal Attention Model for Tactile Texture Recognition.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Multi-Source Attention for Unsupervised Domain Adaptation.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020
Meta-Embedding as Auxiliary Task Regularization.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Autoencoding Improves Pre-trained Word Embeddings.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Tree-Structured Neural Topic Model.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA.
CoRR, 2019
Anonymising Queries by Semantic Decomposition.
CoRR, 2019
Transfer Reward Learning for Policy Gradient-Based Text Generation.
CoRR, 2019
Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition.
CoRR, 2019
"Touching to See" and "Seeing to Feel": Robotic Cross-modal SensoryData Generation for Visual-Tactile Perception.
CoRR, 2019
Error-Correcting Neural Sequence Prediction.
CoRR, 2019
Self-Adaptation for Unsupervised Domain Adaptation.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019
A Pilot Study on Argument Simplification in Stance-Based Opinions.
Proceedings of the Computational Linguistics, 2019
Learning to Evaluate Neural Language Models.
Proceedings of the Computational Linguistics, 2019
Evaluating Co-reference Chains Based Conversation History in Conversational Question Answering.
Proceedings of the Computational Linguistics, 2019
Context-Guided Self-supervised Relation Embeddings.
Proceedings of the Computational Linguistics, 2019
Learning to Compose Relational Embeddings in Knowledge Graphs.
Proceedings of the Computational Linguistics, 2019
Combining Textual and Visual Information for Typed and Handwritten Text Separation in Legal Documents.
Proceedings of the Legal Knowledge and Information Systems, 2019
Tick Parasitism Classification from Noisy Medical Records.
Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, 2019
Extracting Supporting Evidence from Medical Negligence Claim Texts.
Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, 2019
Correcting Crowdsourced Annotations to Improve Detection of Outcome Types in Evidence Based Medicine.
Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, 2019
"Touching to See" and "Seeing to Feel": Robotic Cross-modal Sensory Data Generation for Visual-Tactile Perception.
Proceedings of the International Conference on Robotics and Automation, 2019
Automated Bundle Pagination Using Machine Learning.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, 2019
Predicting the Quality of Translations Without an Oracle.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2019
Unsupervised Evaluation of Human Translation Quality.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019
Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction.
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019
Learning Relation Representations from Word Representations.
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019
Joint Learning of Hierarchical Word Embeddings from a Corpus and a Taxonomy.
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019
Gender-preserving Debiasing for Pre-trained Word Embeddings.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
ClassiNet - Predicting Missing Features for Short-Text Classification.
ACM Trans. Knowl. Discov. Data, 2018
Iterative Keystroke Continuous Authentication: A Time Series Based Approach.
Künstliche Intell., 2018
A comparative study of pivot selection strategies for unsupervised cross-domain sentiment classification.
Knowl. Eng. Rev., 2018
Analysing Dropout and Compounding Errors in Neural Language Models.
CoRR, 2018
Curriculum-Based Neighborhood Sampling For Sequence Prediction.
CoRR, 2018
Semi-Supervised Multi-Task Word Embeddings.
CoRR, 2018
Angular-Based Word Meta-Embedding Learning.
CoRR, 2018
Learning Neural Word Salience Scores.
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018
Solving Feature Sparseness in Text Classification using Core-Periphery Decomposition.
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018
Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Frustratingly Easy Meta-Embedding - Computing Meta-Embeddings by Averaging Source Word Embeddings.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Graph Matching Based Semantic Search Engine.
Proceedings of the Metadata and Semantic Research - 12th International Conference, 2018
Sentiment-Stance-Specificity (SSS) Dataset: Identifying Support-based Entailment among Opinions.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
A Dataset for Inter-Sentence Relation Extraction using Distant Supervision.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
Joint Learning of Sense and Word Embeddings.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
Efficient and Effective Case Reject-Accept Filtering: A Study Using Machine Learning.
Proceedings of the Legal Knowledge and Information Systems, 2018
Think Globally, Embed Locally - Locally Linear Meta-embedding of Words.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Spectral Analysis of Keystroke Streams: Towards Effective Real-time Continuous User Authentication.
Proceedings of the 4th International Conference on Information Systems Security and Privacy, 2018
An Empirical Study on Fine-Grained Named Entity Recognition.
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection.
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Learning Word Meta-Embeddings by Autoencoding.
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Using k-Way Co-Occurrences for Learning Word Embeddings.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
A classification approach for detecting cross-lingual biomedical term translations.
Nat. Lang. Eng., 2017
Compositional approaches for representing relations between words: A comparative study.
Knowl. Based Syst., 2017
Dynamic feature scaling for online learning of binary classifiers.
Knowl. Based Syst., 2017
An Optimality Proof for the PairDiff operator for Representing Relations between Words.
CoRR, 2017
TSP: Learning Task-Specific Pivots for Unsupervised Domain Adaptation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Effect of Data Imbalance on Unsupervised Domain Adaptation of Part-of-Speech Tagging and Pivot Selection Strategies.
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017
Frame-Based Semantic Patterns for Relation Extraction.
Proceedings of the Computational Linguistics, 2017
Discovering Representative Space for Relational Similarity Measurement.
Proceedings of the Computational Linguistics, 2017
Spectral Keyboard Streams: Towards Effective and Continuous Authentication.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
CLIEL: context-based information extraction from commercial law documents.
Proceedings of the 16th edition of the International Conference on Artificial Intelligence and Law, 2017
Accurate Continuous and Non-intrusive User Authentication with Multivariate Keystroke Streaming.
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017
Behavioural Biometric Continuous User Authentication Using Multivariate Keystroke Streams in the Spectral Domain.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017
Classifier-Based Pattern Selection Approach for Relation Instance Extraction.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017
2016
Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings.
IEEE Trans. Knowl. Data Eng., 2016
Towards Keystroke Continuous Authentication Using Time Series Analytics.
Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016
Keyboard Usage Authentication Using Time Series Analysis.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2016
Assessing Weight of Opinion by Aggregating Coalitions of Arguments.
Proceedings of the Computational Models of Argument, 2016
Contextual stance classification of opinions: A step towards enthymeme reconstruction in online reviews.
Proceedings of the Third Workshop on Argument Mining, 2016
Joint Word Representation Learning Using a Corpus and a Semantic Lexicon.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Improved sampling using loopy belief propagation for probabilistic model building genetic programming.
Swarm Evol. Comput., 2015
Prediction of User Ratings of Oral Presentations using Label Relations.
Proceedings of the 1st International Workshop on Affect & Sentiment in Multimedia, 2015
Embedding Semantic Relations into Word Representations.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
A Discourse Search Engine Based on Rhetorical Structure Theory.
Proceedings of the Advances in Information Retrieval, 2015
Unsupervised Cross-Domain Word Representation Learning.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
Learning Word Representations from Relational Graphs.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Learning to Predict Distributions of Words Across Domains.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
2013
A Bottom-Up Approach to Sentence Ordering for Multi-Document Summarization.
Proceedings of the Multi-source, Multilingual Information Extraction and Summarization, 2013
Cross-Domain Sentiment Classification Using a Sentiment Sensitive Thesaurus.
IEEE Trans. Knowl. Data Eng., 2013
Minimally Supervised Novel Relation Extraction Using a Latent Relational Mapping.
IEEE Trans. Knowl. Data Eng., 2013
Improving relational similarity measurement using symmetries in proportional word analogies.
Inf. Process. Manag., 2013
Multi-tweet Summarization of Real-Time Events.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013
Mining for Analogous Tuples from an Entity-Relation Graph.
Proceedings of the IJCAI 2013, 2013
Learning non-linear ranking functions for web search using probabilistic model building GP.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Cross-Language Latent Relational Search between Japanese and English Languages Using a Web Corpus.
ACM Trans. Asian Lang. Inf. Process., 2012
A preference learning approach to sentence ordering for multi-document summarization.
Inf. Sci., 2012
Measuring the Degree of Synonymy between Words Using Relational Similarity between Word Pairs as a Proxy.
IEICE Trans. Inf. Syst., 2012
Automatic Annotation of Ambiguous Personal Names on the Web.
Comput. Intell., 2012
A Context Expansion Method for Supervised Word Sense Disambiguation.
Proceedings of the Sixth IEEE International Conference on Semantic Computing, 2012
Probabilistic model building GP with Belief propagation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Similarity Is Not Entailment - Jointly Learning Similarity Transformation for Textual Entailment.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
A Web Search Engine-Based Approach to Measure Semantic Similarity between Words.
IEEE Trans. Knowl. Data Eng., 2011
Automatic Discovery of Personal Name Aliases from the Web.
IEEE Trans. Knowl. Data Eng., 2011
A Supervised Classification Approach for Measuring Relational Similarity between Word Pairs.
IEICE Trans. Inf. Syst., 2011
From actors, politicians, to CEOs: domain adaptation of relational extractors using a latent relational mapping.
Proceedings of the 20th International Conference on World Wide Web, 2011
Interest Prediction on Multinomial, Time-Evolving Social Graph.
Proceedings of the IJCAI 2011, 2011
Relation Adaptation: Learning to Extract Novel Relations with Minimum Supervision.
Proceedings of the IJCAI 2011, 2011
Exploiting User Interest on Social Media for Aggregating Diverse Data and Predicting Interest.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011
Differential evolution with self adaptive local search.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
RankDE: learning a ranking function for information retrieval using differential evolution.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Collaborative exploratory search in real-world context.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Using Graph Based Method to Improve Bootstrapping Relation Extraction.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2011
Semi-supervised Discourse Relation Classification with Structural Learning.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2011
An adaptive differential evolution algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
Using Multiple Sources to Construct a Sentiment Sensitive Thesaurus for Cross-Domain Sentiment Classification.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011
Cross-Language Latent Relational Search: Mapping Knowledge across Languages.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
A bottom-up approach to sentence ordering for multi-document summarization.
Inf. Process. Manag., 2010
Relational duality: unsupervised extraction of semantic relations between entities on the web.
Proceedings of the 19th International Conference on World Wide Web, 2010
Using Relational Similarity between Word Pairs for Latent Relational Search on the Web.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010
Towards Semi-Supervised Classification of Discourse Relations using Feature Correlations.
Proceedings of the SIGDIAL 2010 Conference, 2010
Exploiting Symmetry in Relational Similarity for Ranking Relational Search Results.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010
A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010
A Sequential Model for Discourse Segmentation.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2010
2009
Measuring the similarity between implicit semantic relations from the web.
Proceedings of the 18th International Conference on World Wide Web, 2009
Measuring the similarity between implicit semantic relations using web search engines.
Proceedings of the Second International Conference on Web Search and Web Data Mining, 2009
A Relational Model of Semantic Similarity between Words using Automatically Extracted Lexical Pattern Clusters from the Web.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009
2008
Mining for personal name aliases on the web.
Proceedings of the 17th International Conference on World Wide Web, 2008
Automatically Extracting Personal Name Aliases from the Web.
Proceedings of the Advances in Natural Language Processing, 2008
A Co-occurrence Graph-based Approach for Personal Name Alias Extraction from Anchor Texts.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008
WWW sits the SAT: Measuring Relational Similarity on the Web.
Proceedings of the ECAI 2008, 2008
2007
Measuring semantic similarity between words using web search engines.
Proceedings of the 16th International Conference on World Wide Web, 2007
An Integrated Approach to Measuring Semantic Similarity between Words Using Information Available on the Web.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007
2006
Disambiguating Personal Names on the Web Using Automatically Extracted Key Phrases.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006
Extracting Key Phrases to Disambiguate Personal Names on the Web.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2006
Spinning Multiple Social Networks for Semantic Web.
Proceedings of the Proceedings, 2006
2005
A Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation.
Proceedings of the Natural Language Processing, 2005