[3Q1-IS-2a] Machine learning

Thu. May 30, 2024 9:00 AM - 10:40 AM Room Q (Room 402)

Chair: Takahiro Uchiya (Nagoya Institute of Technology)

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9:00 AM - 9:20 AM

[3Q1-IS-2a-01] Exploring Challenges in Extracting Structured Knowledge from Financial Documents

〇Rungsiman Nararatwong¹, Natthawut Kertkeidkachorn², Ryutaro Ichise^3,1 (1. National Institute of Advanced Industrial Science and Technology, 2. Japan Advanced Institute of Science and Technology, 3. Tokyo Institute of Technology)

9:20 AM - 9:40 AM

[3Q1-IS-2a-02] A Weakly Supervised Approach Leveraging Causal-sensitive Sentence Embeddings by Contrastive Learning for Discerning Economic Causality

〇Ryotaro Kobayashi¹, Yuri Murayama¹, Kiyoshi Izumi¹ (1. The University of Tokyo)

9:40 AM - 10:00 AM

[3Q1-IS-2a-03] Classifying and Extracting Information from Promotions for Demand Forecasting Using Topic Modelling with BERTopic.

〇Yingsha Yang¹, Kazuhiro Koike¹, Yasuyuki Mitsui¹ (1. ASKUL Corporation)

10:00 AM - 10:20 AM

[3Q1-IS-2a-04] The Impact of Noisy Information in Knowledge Graphs on Recommendation Performanc

〇Yun Liu¹, Natthawut Kertkeidkachorn², Jun Miyazaki³, Ryutaro Ichise^3,1 (1. National Institute of Advanced Industrial Science and Technology, 2. Japan Advanced Institute of Science and Technology, 3. Tokyo Institute of Technology)

10:20 AM - 10:40 AM

[3Q1-IS-2a-05] Predicting Performance of Responsive Search Ad Surface Texts

〇Melvin Charles Dy¹ (1. OPT, Inc.)

[[Online]]

Session information