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Mark Steedman

8 paper cards in Mova's library · 2005–2024

Mark Steedman wrote 8 of the papers Mova reads, in 2005–2024, most of them on Discourse analysis, Dependency parsing, Universal Dependencies; often with Omri Abend, Ida Szubert, Louis Mahon.

OpenAlex · ORCID · h-index 63 · 19016 citations · 370 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: Discourse analysis 1 · Dependency parsing 1 · Universal Dependencies 1 · Treebanks 1

Ideas Mova took (2)

From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave.

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. Human Temporal Inferences Go Beyond Aspectual Class (2024)
    The imperfective paradox: "I was walking" entails "I walked", but "I was building a house" does not entail "I built a house".
  3. 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.
  4. 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…
  5. A CCG Parsing with a Supertag-factored Model (2014)
    The question is whether CCG parsing needs a full model of derivations and dependencies, or whether a model of lexical categories is enough.
  6. Unbounded Dependency Recovery for Parser Evaluation (2009) 2 ideas kept
    The authors build a parser-evaluation corpus of around 700 sentences annotated with unbounded dependencies in seven grammatical constructions.
  7. CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank (2007)
    The paper gives an algorithm that translates Penn Treebank phrase-structure trees into Combinatory Categorial Grammar derivations, with binarization, head and complement/adjunct decisions, and word-word dependencies, including long-range ones from extraction, control, raising, right-node raising and coordination.
  8. A Framework for Annotating Information Structure in Discourse (2005)
    The paper proposes a framework for analysing information structure in conversational English, using the Switchboard corpus.

Co-authors (18)

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