4 citations · 5 across the 3 of their papers we have counts for
3 papers
HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark
Amir DN Cohen, Hilla Merhav, Yoav Goldberg +1
Current benchmarks for Hebrew Natural Language Processing (NLP) focus mainly on morpho-syntactic tasks, neglecting the semantic dimension of language understanding. To bridge this…
NERetrieve: Dataset for Next Generation Named Entity Recognition and Retrieval
Uri Katz, Matan Vetzler, Amir DN Cohen +1
Recognizing entities in texts is a central need in many information-seeking scenarios, and indeed, Named Entity Recognition (NER) is arguably one of the most successful examples of…
Description-Based Text Similarity
Shauli Ravfogel, Valentina Pyatkin, Amir DN Cohen +2
Identifying texts with a given semantics is central for many information seeking scenarios. Similarity search over vector embeddings appear to be central to this ability, yet the s…