Elamur Research⌕
☰
home / authors / Yoav Goldberg / page 3

Yoav Goldberg · page 3

57 papers in our library · 2006–2026 · page 3 of 3

The profile, affiliations and co-authors →

 Papers

The most cited first (OpenAlex and our library).

1 2 3

  1. Noun Phrase Chunking in Hebrew: Influence of Lexical and Morphological Features (2006 · 19 citations)
    The traditional base-NP definition (non-recursive NPs, as in English) gives tiny, one-word chunks on the Hebrew Treebank, so the authors define "Simple NPs" instead.
  2. Tagging a Hebrew Corpus: the Case of Participles (2008 · 18 citations)
    The authors build a part-of-speech and morphology corpus of Modern Hebrew news (about 40M tokens, with a 200K-token sample tagged by hand).
  3. SVM Model Tampering and Anchored Learning: A Case Study in Hebrew NP Chunking (2007 · 14 citations)
    The paper studies an SVM chunker for Hebrew Simple NPs (about 4,500 training sentences, 500 test, 27K chunks) and opens the trained model in two ways.
  4. HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark (2023 · 13 citations)
    HeQ is an extractive question-answering benchmark in the SQuAD style for Modern Hebrew: 30,147 question–answer pairs from Hebrew Wikipedia and from the Geektime tech news site.
  5. Hebrew Psychological Lexicons (2021 · 9 citations)
    The authors build a set of Hebrew psychological lexicons (2018–2021) for the analysis of psychotherapy sessions, because no validated Hebrew psycholinguistic lexicon existed.
  6. Improving a Strong Neural Parser with Conjunction-Specific Features (2017 · 9 citations)
    Parsers are accurate overall but attach the conj relation poorly, even in simple sentences. The authors add features to the BIST transition parser (arc-hybrid, with a Kiperwasser and Goldberg scorer) that measure the symmetry of the two conjuncts: whether their head words share a lemma, suffix, capitalization or…
  7. MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of Documents (2026 · 5 citations)
    LLM-based agents are increasingly used to look up information. However, few benchmarks test them on realistic questions that would take a person hours of research across many sources. MoNaCo fills this gap with 1,315 human-written questions. Crowd workers wrote them while imagining the needs of specific personas…

1 2 3

This page in Markdown → https://md.research.elamur.ai/free/en/authors/yoav-goldberg/page/3/