Papers with statistical
Fantastic Expressions and Where to Find Them: Chinese Simile Generation with Multiple Constraints (2023.acl-long)
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| Challenge: | Existing attempts to generate similes as context-free tasks are not suitable for simile generation . however, simile generated under such settings might be undesirable, we argue . |
| Approach: | They propose a model to generate a simile with multiple simile elements . they propose to use a vehicle retrieval module to obtain the explicable comparison . |
| Outcome: | The proposed model can generate a simile with multiple simile elements, e.g., context and vehicle. |
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results (2021.emnlp-main)
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| Challenge: | Existing approaches focus on high-level description of how research is carried out . instead, we focus on the subtleties of how experimental associations are presented . |
| Approach: | They propose a transformer-based approach to relational scientific information extraction that captures associations over experimental variables and their qualifications, subtypes, and evidence. |
| Outcome: | The proposed schema captures causal, comparative, predictive, statistical, and proportional associations over experimental variables along with qualifications, subtypes, and evidence. |
Development of Automatic Speech Recognition for the Documentation of Cook Islands Māori (2022.lrec-1)
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Rolando Coto-Solano, Sally Akevai Nicholas, Samiha Datta, Victoria Quint, Piripi Wills, Emma Ngakuravaru Powell, Liam Koka’ua, Syed Tanveer, Isaac Feldman
| Challenge: | a new study describes the process of data processing and training of an automatic speech recognition system for Cook Islands Mori . the system is based on statistical and Deep Learning techniques, and is available under a license . |
| Approach: | They describe the process of data processing and training of an automatic speech recognition system for Cook Islands Mori . they transcribed four hours of speech from adults and elderly speakers of the language and prepared two experiments . |
| Outcome: | The proposed system can perform better with low-resource Indigenous languages . the system can be used to accelerate the documentation of Cook Islands Mori . |
How do autoregressive transformers solve full addition? (2025.emnlp-main)
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| Challenge: | Large pre-trained language models have demonstrated impressive capabilities, but there is still much to learn about how they operate. |
| Approach: | They investigate the ability of the autoregressive transformer to perform basic addition operations by using causal analysis to find that a few different attention heads in the middle layers control the addition carry . they found that due to the lack of global focus on the sequence within these attention heads, the model struggles to handle long-sequence addition tasks. |
| Outcome: | The model performs basic addition tasks, but it still faces challenges with length generalization. |