Claim · 2018-02-15 · publication · Stated in source · Supported

The paper introduces a deep contextualized word representation intended to model both complex characteristics of word use and how these uses vary across linguistic contexts.

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What it connects

Deep contextualized word representations → states its contribution → The paper introduces a deep contextualized word representation intended to model both complex characteristics of word use and how these uses vary across linguistic contexts.

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Claim and evidence

Deep contextualized word representationsstates its contribution ↓The paper introduces a deep contextualized word representation intended to model both complex characteristics of word use and how these uses vary across linguistic contexts.

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2018-02-15 · publication Records dated 2018 →

Scope and limitsThe paper's own description of its contribution; not an assessment of it.

The evidence 01

primary sourceSupports the claim

Deep contextualized word representations

arXiv · 2018-02-15

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Source excerpt

“We introduce a new type of deep contextualized word representation that models both (1) complex characteristics of word use (e.g., syntax and semantics), and (2) how these uses vary across linguistic contexts (i.e., to model polysemy).”

Location in source arXiv v1, PDF p. 1, abstract

Machine-checked · 2026-10-31

Source details and check notes

Authors: Matthew E. Peters; Mark Neumann; Mohit Iyyer; Matt Gardner; Christopher Clark; Kenton Lee; Luke Zettlemoyer
Version: arXiv:1802.05365v1, submitted 15 February 2018 (UTC). Retrieved for the candidate pack on 2026-10-28 (SHA-256 c524a2d4ffd2cbedd24b1db59258fd4f85e40a7a81ccebe88fa36e2a9bca3dd7). The author list is the byline as printed on the first page.
Version date: 2018-02-15
Canonical address: Open the canonical source ↗
Accessed: 2026-10-28
Language: English (en)
Attribution: Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer, “Deep contextualized word representations”, 2018-02-15.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, key papers (research/key-papers). The quotation (36 words) matched the text retrieved for the candidate pack on 2026-10-28 (research/key-papers/verification.json). Matching ignored differences of whitespace, case, quotation marks, dashes and line-break hyphens, so the source’s typography can differ. No human editorial review.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

Relation. A paper or other publication describes its own contribution, quoted from the expression the record names, usually its abstract or introduction. The record is the document’s own description, not an assessment: a claim of priority or novelty it contains is the document’s claim, flagged as such, and says nothing about earlier or later work.

Date. Date of the arXiv version quoted, submitted 15 February 2018 (UTC); later versions may word it differently.

Record ID kp-states-deep-contextualized-word-representations-2018-1