Kadir Ozler
2023
Interpreting Indirect Answers to Yes-No Questions in Multiple Languages
Zijie Wang
|
Md Hossain
|
Shivam Mathur
|
Terry Melo
|
Kadir Ozler
|
Keun Park
|
Jacob Quintero
|
MohammadHossein Rezaei
|
Shreya Shakya
|
Md Uddin
|
Eduardo Blanco
Findings of the Association for Computational Linguistics: EMNLP 2023
Yes-no questions expect a yes or no for an answer, but people often skip polar keywords. Instead, they answer with long explanations that must be interpreted. In this paper, we focus on this challenging problem and release new benchmarks in eight languages. We present a distant supervision approach to collect training data, and demonstrate that direct answers (i.e., with polar keywords) are useful to train models to interpret indirect answers (i.e., without polar keywords). We show that monolingual fine-tuning is beneficial if training data can be obtained via distant supervision for the language of interest (5 languages). Additionally, we show that cross-lingual fine-tuning is always beneficial (8 languages).
Search
Co-authors
- Zijie Wang 1
- Md. Hossain 1
- Shivam Mathur 1
- Terry Melo 1
- Keun Park 1
- show all...