Papers by Elad Segal
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies (2021.tacl-1)
Copied to clipboard
| Challenge: | Existing questions that explicitly describe the process for deriving the answer are often implicit. |
| Approach: | They propose a question answering benchmark where the required reasoning steps are implicit in the question and should be inferred using a strategy. |
| Outcome: | The proposed model is short, topic-diverse, and covers a wide range of strategies. |
A Simple and Effective Model for Answering Multi-span Questions (2020.emnlp-main)
Copied to clipboard
| Challenge: | Existing models for reading comprehension restrict output space to a set of single contiguous spans . multi-span questions are problematic because they require multiple inputs - a task that requires a sequence tagging problem . |
| Approach: | They propose a simple architecture for answering multi-span questions by casting the task as a sequence tagging problem. |
| Outcome: | The proposed model significantly improves performance on span extraction questions from DROP and Quoref by 9.9 and 5.5 EM points respectively. |
SCROLLS: Standardized CompaRison Over Long Language Sequences (2022.emnlp-main)
Copied to clipboard
Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran, Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, Jonathan Berant, Omer Levy
| Challenge: | Standard NLP benchmarks focus on short texts, but long texts are produced in the context of longer discourses. |
| Approach: | They propose a new benchmark that places models in context of long texts that require reasoning over long texts. |
| Outcome: | The proposed task sets are based on a set of long-text datasets and host a live leaderboard to facilitate research on model architecture and pretraining methods. |