Search Results - "Ikhwantri, Fariz"

  • Showing 1 - 7 results of 7
Refine Results
  1. 1

    Looking deep in the eyes: Investigating interpretation methods for neural models on reading tasks using human eye-movement behaviour by Ikhwantri, Fariz, Putra, Jan Wira Gotama, Yamada, Hiroaki, Tokunaga, Takenobu

    Published in Information processing & management (01-03-2023)
    “…This paper provides the first broad overview of the relation between different interpretation methods and human eye-movement behaviour across different tasks…”
    Get full text
    Journal Article
  2. 2

    Cross-Lingual Transfer for Distantly Supervised and Low-resources Indonesian NER by Ikhwantri, Fariz

    Published 25-07-2019
    “…Manually annotated corpora for low-resource languages are usually small in quantity (gold), or large but distantly supervised (silver). Inspired by recent…”
    Get full text
    Journal Article
  3. 3

    Pretrained language model transfer on neural named entity recognition in Indonesian conversational texts by Leonandya, Rezka, Ikhwantri, Fariz

    Published 21-02-2019
    “…Named entity recognition (NER) is an important task in NLP, which is all the more challenging in conversational domain with their noisy facets. Moreover,…”
    Get full text
    Journal Article
  4. 4
  5. 5

    Learning semantic segmentation score in weakly supervised convolutional neural network by Ikhwantri, Fariz, Habibie, Novian, Syulistyo, Arie Rachmad, Aprinaldi, Jatmiko, Wisnu

    “…Semantic segmentation is an image labeling process for each pixels according to defined objects class and its presence in an image. Labeling process consists…”
    Get full text
    Conference Proceeding
  6. 6

    Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus by Ikhwantri, Fariz, Louvan, Samuel, Kurniawan, Kemal, Abisena, Bagas, Rachman, Valdi, Wicaksono, Alfan Farizki, Mahendra, Rahmad

    Published 05-06-2018
    “…Most Semantic Role Labeling (SRL) approaches are supervised methods which require a significant amount of annotated corpus, and the annotation requires…”
    Get full text
    Journal Article
  7. 7

    Evolutionary segment selection for higher-order conditional random fields in semantic image segmentation by Habibie, Novian, Dewanto, Vektor, Chandra, Jogie, Ikhwantri, Fariz, Santoso, Harry Budi, Jatmiko, Wisnu

    “…One promising approach for pixel-wise semantic segmentation is based on higher-order Conditional Random Fields (CRFs). We aim to selectively choose segments…”
    Get full text
    Conference Proceeding