--- title: "Yoav Goldberg — papers, page 3 — Elamur Research" description: "Yoav Goldberg, Bar-Ilan University: 57 papers on Elamur Research (2006–2026), h-index 59 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/yoav-goldberg/page/3/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yoav-goldberg/page/3/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Yoav Goldberg](https://md.research.elamur.ai/free/en/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 →](https://md.research.elamur.ai/free/en/authors/yoav-goldberg/) ## Papers The most cited first (OpenAlex and our library). [← prev](https://md.research.elamur.ai/free/en/authors/yoav-goldberg/page/2/) [1](https://md.research.elamur.ai/free/en/authors/yoav-goldberg/) [2](https://md.research.elamur.ai/free/en/authors/yoav-goldberg/page/2/) **3** 51. **[Noun Phrase Chunking in Hebrew: Influence of Lexical and Morphological Features](https://md.research.elamur.ai/free/en/papers/goldberg-2006-noun-phrase-chunking-hebrew-influence/)** *(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. 52. **[Tagging a Hebrew Corpus: the Case of Participles](https://md.research.elamur.ai/free/en/papers/adler-2008-tagging-hebrew-corpus-case-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). 53. **[SVM Model Tampering and Anchored Learning: A Case Study in Hebrew NP Chunking](https://md.research.elamur.ai/free/en/papers/goldberg-2007-svm-model-tampering-anchored-learning/)** *(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. 54. **[HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark](https://md.research.elamur.ai/free/en/papers/cohen-2023-heq-large-diverse-hebrew-reading/)** *(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. 55. **[Hebrew Psychological Lexicons](https://md.research.elamur.ai/free/en/papers/shapira-2021-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. 56. **[Improving a Strong Neural Parser with Conjunction-Specific Features](https://md.research.elamur.ai/free/en/papers/ficler-2017-improving-strong-neural-parser-conjunction/)** *(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… 57. **[MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of Documents](https://md.research.elamur.ai/free/en/papers/wolfson-2026-monaco-more-natural-complex-questions/)** *(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… [← prev](https://md.research.elamur.ai/free/en/authors/yoav-goldberg/page/2/) [1](https://md.research.elamur.ai/free/en/authors/yoav-goldberg/) [2](https://md.research.elamur.ai/free/en/authors/yoav-goldberg/page/2/) **3**