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ELMo (Embeddings from Language Models) introduced in paper: Deep contextualized word representations (Peters et al., 2018).
Last verified 2026-05-16 · Methodology veritas-v0.1 · ee150c6e44364a3d
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Structured fields
- Subject
- ELMo (Embeddings from Language Models)
- Predicate
introduced_in_paper- Object
- Deep contextualized word representations (Peters et al., 2018)
- Confidence
- 100%
- Tags
- elmo · word-embeddings · contextualized · foundational · 2018 · naacl
Sources (2)
[1] preprint · arXiv (Peters, Neumann, Iyyer, Gardner, Clark, Lee, Zettlemoyer) · 2018-02-15
Deep contextualized word representations“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).”
[2] peer reviewed · ACL Anthology · 2018-06-01
Deep contextualized word representations (NAACL 2018)
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// "ELMo (Embeddings from Language Models) introduced in paper: Deep contextualized word representations (Peters et al., 2018)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/ee150c6e44364a3d.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "ELMo (Embeddings from Language Models) introduced in paper: Deep contextualized word representations (Peters et al., 2018)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_elmo_embeddings_from_language_models_fact() -> dict:
"""Fetch the verified SourceScore claim for ELMo (Embeddings from Language Models)."""
r = httpx.get("https://sourcescore.org/api/v1/claims/ee150c6e44364a3d.json")
return r.json()