Researcher profile

Danushka Bollegala

5 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset

    2018

    Pavithra Rajendran, Danushka Bollegala, Simon Parsons. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers). 2018.

  2. Learning Relation Representations from Word Representations

    2019 · Automated Knowledge Base Construction

    Identifying the relations that connect words is an important step towards understanding human languages and is useful for various NLP tasks such as knowledge base completion and analogical reasoning. Simple unsupervised operators such as vector …

  3. Combining Long Short Term Memory and Convolutional Neural Network for\n Cross-Sentence n-ary Relation Extraction

    2018 · arXiv (Cornell University)

    We propose in this paper a combined model of Long Short Term Memory and\nConvolutional Neural Networks (LSTM-CNN) that exploits word embeddings and\npositional embeddings for cross-sentence n-ary relation extraction. The\nproposed model brings together the properties of …

  4. On the Curious Case of $\ell_2$ norm of Sense Embeddings

    2022 · arXiv (Cornell University)

    We show that the $\ell_2$ norm of a static sense embedding encodes information related to the frequency of that sense in the training corpus used to learn the sense embeddings. This finding can be seen …

  5. Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures

    2024 · arXiv (Cornell University)

    Unsupervised constituency parsing focuses on identifying word sequences that form a syntactic unit (i.e., constituents) in target sentences. Linguists identify the constituent by evaluating a set of Predicate-Argument Structure (PAS) equivalent sentences where we find …