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
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
A study on learning representations for relations between words.
PhD thesis, 2020
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
Learning Relation Representations from Word Representations.
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019
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
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
An Optimality Proof for the PairDiff operator for Representing Relations between Words.
CoRR, 2017
Discovering Representative Space for Relational Similarity Measurement.
Proceedings of the Computational Linguistics, 2017