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Omri Abend

11 paper cards in Mova's library · 2013–2024

Omri Abend wrote 11 of the papers Mova reads, in 2013–2024, most of them on Machine translation, Universal Dependencies; often with Nathan Schneider, Ari Rappoport, Jakob Prange.

OpenAlex · ORCID · h-index 26 · 2207 citations · 135 works — openalex, 2026-10-18

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology · ORCID

Topics: Machine translation 6 · Universal Dependencies 1

Papers

  1. A Language-agnostic Model of Child Language Acquisition (2024)
    The authors port Abend et al.'s semantic-bootstrapping learner from English to Hebrew. The learner sees one child-directed utterance at a time, paired with a logical form, and learns a CCG lexicon with EM over Dirichlet-process counts. The Hebrew data are from the CHILDES Hagar corpus (3,295 utterances), converted…
  2. Universal Dependencies and Semantics for English and Hebrew Child-directed Speech (2022)
    The authors annotate child-directed speech in English (the Adam corpus of CHILDES, 18,113 utterances) and Hebrew (the Hagar corpus, 24,172 utterances) with UD, and then convert the UD trees into logical forms, a meaning representation for acquisition models.
  3. Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed Speech (2021)
    The paper proposes a two-step method for annotating child-directed speech (CDS) in CHILDES. First, the utterances get Universal Dependencies (UD) trees, starting from the existing dependency annotation and then hand-corrected. Second, sentential logical forms (LFs) are produced from the UD trees by unlexicalised…
  4. Classifying Syntactic Errors in Learner Language (2020)
    The authors present SERCL, an automatic taxonomy and classifier for syntactic errors in learner language, where a syntactic error is one whose correction changes the part of speech, dependency relation or morphological features involved.
  5. Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics (2020)
    The paper asks how much of UCCA can be recovered from simpler layers: Universal Dependencies syntax and STREUSLE lexical semantics.
  6. Cross-lingual Semantic Representation for NLP with UCCA (2020)
    A tutorial abstract on UCCA (Universal Conceptual Cognitive Annotation), a meaning scheme meant to apply across languages without language-specific lexical resources.
  7. Semantic Structural Evaluation for Text Simplification (2018)
    The paper asks how to score a simplified sentence when reference simplifications are scarce and not unique.
  8. Simple and Effective Text Simplification Using Semantic and Neural Methods (2018)
    The paper adds a semantic splitting step before a neural machine translation simplifier. Direct Semantic Splitting (DSS) parses each sentence with a UCCA semantic parser, which gives scenes (events with their participants), and splits the sentence at its main scenes using two simple rules, one for parallel scenes and…
  9. Adposition and Case Supersenses v2.6: Guidelines for English (2017)
    This is the annotation manual for SNACS, a scheme that labels English prepositions, case markers and possessives with "supersenses", a small set of semantic classes.
  10. HUME: Human UCCA-Based Evaluation of Machine Translation (2016)
    HUME is a human semantic evaluation measure. Only the source sentence is annotated, with UCCA (a cross-lingual scheme with scenes, participants, centres, elaborators and linkers). Bilingual annotators then judge whether each unit is preserved in the translation. Because the garbled output is never parsed and no…
  11. Universal Conceptual Cognitive Annotation (UCCA) (2013)
    UCCA is a semantic annotation scheme that tries to abstract away from syntactic form. Each sentence is a directed acyclic graph whose leaves are words, and whose units mark scenes, argument structure of verbs, nouns and adjectives, and the links between them. The argument is that syntactic schemes separate sentences…

Co-authors (29)

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