Search Results - "Shimada, Kazutaka"

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  1. 1

    Archaeological significance and chemical characterization of the obsidian source in Kirigamine, central Japan: Methodology for provenance analysis of obsidian artefacts using XRF and LA–ICP–MS by Suda, Yoshimitsu, Adachi, Tatsuro, Shimada, Kazutaka, Osanai, Yasuhito

    Published in Journal of archaeological science (01-05-2021)
    “…The Kirigamine area is one of the major obsidian sources in the Chubu-kanto region of central Japan, and is regarded as an important archaeological study area…”
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    Journal Article
  2. 2

    Layer Configurations of BERT for Multitask Learning and Data Augmentation by Pahari, Niraj, Shimada, Kazutaka

    “…Multitask learning (MTL) and data augmentation are becoming increasingly popular in natural language processing (NLP). These techniques are particularly useful…”
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    Journal Article
  3. 3

    Human responses to climate change on obsidian source exploitation during the Upper Paleolithic in the Central Highlands, central Japan by Shimada, Kazutaka, Yoshida, Akihiro, Hashizume, Jun, Ono, Akira

    Published in Quaternary international (30-06-2017)
    “…Upper Paleolithic hunter-gatherers intensively exploited obsidian sources 1200–2000 m a.s.l. in the Central Highlands, central Japan. Previous studies have…”
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    Journal Article
  4. 4

    A Person Identification Method Using a Top-View Head Image from an Overhead Camera by Nakatani, Ryota, Kouno, Daichi, Shimada, Kazutaka, Endo, Tsutomu

    “…In this paper, we describe a novel image-based person identification task. Conventional face-based person identification methods have a low tolerance for…”
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    Journal Article
  5. 5

    A Sarcasm Extraction Method Based on Patterns of Evaluation Expressions by Hiai, Satoshi, Shimada, Kazutaka

    “…Sarcasm presents a negative meaning with positive expressions and is a non-literalistic expression. Sarcasm detection is an important task because it…”
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    Conference Proceeding
  6. 6
  7. 7

    Generating Abstractive Summaries of Sports Games from Japanese Tweets by Tagawa, Yuuki, Shimada, Kazutaka

    “…Microblogs are one of the most important resources for natural language processing. In this paper, we deal with a summarization task of sports events on…”
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    Conference Proceeding
  8. 8

    Impact of landscape changes on obsidian exploitation since the Palaeolithic in the central highland of Japan by Yoshida, Akihiro, Kudo, Yuichiro, Shimada, Kazutaka, Hashizume, Jun, Ono, Akira

    Published in Vegetation history and archaeobotany (01-01-2016)
    “…We have reconstructed landscape changes at a known obsidian source area in the central highland, Japan, using well dated pollen and micro-charcoal records, in…”
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    Journal Article
  9. 9

    Dataset Construction and Verification for Detecting Factual Inconsistency in Japanese Summarization by Iwamoto, Keisuke, Shimada, Kazutaka

    “…Abstractive document summarization is one of the most important tasks in natural language processing. Many approaches based on large language models have been…”
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    Conference Proceeding
  10. 10

    Automatic Few-Shot Selection on In-Context Learning for Aspect Term Extraction by Imazato, Koki, Shimada, Kazutaka

    “…In this paper, we handle aspect term extraction with In-Context Learning (ICL) as the target task. ICL is a method for learning Large Language Models. Instead…”
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    Conference Proceeding
  11. 11

    An Utterance is Enough to the gaze? Gaze Detection from Utterance Information in Multiparty Discussion by Wakita, Kensho, Shimada, Kazutaka

    “…Gaze information has an important role in conversation understanding. Generally, gaze detection is performed using a camera. However, such systems often…”
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    Conference Proceeding
  12. 12

    Share What You Already Know: Cross-Language-Script Transfer and Alignment for Sentiment Detection in Code-Mixed Data by Pahari, Niraj, Shimada, Kazutaka

    Published 06-02-2024
    “…Code-switching entails mixing multiple languages. It is an increasingly occurring phenomenon in social media texts. Usually, code-mixed texts are written in a…”
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    Journal Article
  13. 13

    Combination and Knowledge Extension of Pre-trained Language Model for Offensive Language Detection by Li, Zhenming, Shimada, Kazutaka

    “…Nowadays, more and more offensive comments are posted on social media. Those offensive comments can seriously cause mental damage to other people. Therefore,…”
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    Conference Proceeding
  14. 14

    Detecting speech recognition errors using topic information and BERT by Yokoyama, Masaaki, Shimada, Kazutaka

    “…Detecting errors in speech recognition is important because these errors negatively affect the accuracy of downstream tasks. To detect recognition errors, we…”
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    Conference Proceeding
  15. 15

    Disfluency detection with context information from real utterances and generative utterances by Nakashima, Hiroto, Shimada, Kazutaka

    “…Disfluency is one of the linguistic phenomenons that often occurs in speech. Recently, automatic speech recognition has improved the accuracy of its…”
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    Conference Proceeding
  16. 16

    Handling Data Scarcity in Code-Mixing Using Learning-Based Approaches by Pahari, Niraj, Shimada, Kazutaka

    “…With the rise of multilingual populations, the use of structures and vocabularies from multiple languages in a single communication act is increasing. The act…”
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    Conference Proceeding
  17. 17

    Multi-Task Learning Using BERT With Soft Parameter Sharing Between Layers by Pahari, Niraj, Shimada, Kazutaka

    “…The ability to learn from one task and pass the knowledge to another task is a remarkable job that is possible because of multi-task learning (MTL). It is…”
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    Conference Proceeding
  18. 18

    Demonstration of Effectiveness of Nativeness in Stepwise Learning by Performing Sentiment Analysis by Al-Mahmud, Shimada, Kazutaka

    “…Nowadays, more people and entities express opinions on online platforms. With this increasing trend of online opinion mass information, it is impossible to…”
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    Conference Proceeding
  19. 19

    Combining Pre-Trained Language Models and Features for Offensive Language Detection by Li, Zhenming, Shimada, Kazutaka

    “…Nowadays, people often express their abusive and offensive thoughts to others on social media easier. The abusive and toxic comments hurt others seriously…”
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    Conference Proceeding
  20. 20

    Pseudo data acquisition using machine translation and simile identification by Jimi, Jintaro, Shimada, Kazutaka

    “…The simile is a kind of figurative language. It expresses the target of the figurative language by using some typical phrases such as "like". It is important…”
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    Conference Proceeding