Annual Meeting of the Association for Computational Linguistics
E899071
computational linguistics conference
computer science conference
natural language processing conference
scientific conference
The Annual Meeting of the Association for Computational Linguistics is a premier international conference that showcases cutting-edge research in natural language processing and computational linguistics.
All labels observed (6)
How this entity was disambiguated
This entity first appeared as the object of triple T11003680 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annual Meeting of the Association for Computational Linguistics Context triple: [ACL, fullName, Annual Meeting of the Association for Computational Linguistics]
-
A.
EMNLP
EMNLP (Empirical Methods in Natural Language Processing) is a leading annual conference in computational linguistics and natural language processing research.
-
B.
NAACL 2018
NAACL 2018 was a major computational linguistics conference where the influential ELMo deep contextualized word representation model was introduced.
-
C.
ACM Transactions on Asian and Low-Resource Language Information Processing
ACM Transactions on Asian and Low-Resource Language Information Processing is a peer-reviewed scholarly journal focusing on computational linguistics, natural language processing, and information processing for Asian and other low-resource languages.
-
D.
CSLI Publications
CSLI Publications is an academic publishing house associated with Stanford University's Center for the Study of Language and Information, specializing in linguistics, cognitive science, philosophy, and related fields.
-
E.
Semantics and Cognition
Semantics and Cognition is a foundational book in cognitive linguistics that explores how meaning in language is structured and represented in the human mind.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Annual Meeting of the Association for Computational Linguistics Target entity description: The Annual Meeting of the Association for Computational Linguistics is a premier international conference that showcases cutting-edge research in natural language processing and computational linguistics.
-
A.
EMNLP
EMNLP (Empirical Methods in Natural Language Processing) is a leading annual conference in computational linguistics and natural language processing research.
-
B.
NAACL 2018
NAACL 2018 was a major computational linguistics conference where the influential ELMo deep contextualized word representation model was introduced.
-
C.
ACM Transactions on Asian and Low-Resource Language Information Processing
ACM Transactions on Asian and Low-Resource Language Information Processing is a peer-reviewed scholarly journal focusing on computational linguistics, natural language processing, and information processing for Asian and other low-resource languages.
-
D.
CSLI Publications
CSLI Publications is an academic publishing house associated with Stanford University's Center for the Study of Language and Information, specializing in linguistics, cognitive science, philosophy, and related fields.
-
E.
Semantics and Cognition
Semantics and Cognition is a foundational book in cognitive linguistics that explores how meaning in language is structured and represented in the human mind.
- F. None of above. chosen
Statements (54)
| Predicate | Object |
|---|---|
| instanceOf |
computational linguistics conference
ⓘ
computer science conference ⓘ natural language processing conference ⓘ scientific conference ⓘ |
| accepts |
demo papers
ⓘ
long papers ⓘ short papers ⓘ |
| alsoKnownAs |
ACL Annual Meeting
ⓘ
linked to:
ACL conferences
ACL conference ⓘ
linked to:
ACL
|
| audience |
graduate students in NLP and CL
ⓘ
industry practitioners in NLP ⓘ researchers in computational linguistics ⓘ researchers in natural language processing ⓘ |
| field |
computational linguistics
ⓘ
natural language processing ⓘ |
| frequency | annual ⓘ |
| goal |
advance the state of the art in computational linguistics
ⓘ
showcase cutting‑edge research in natural language processing ⓘ |
| hasComponent |
industry track
ⓘ
main conference ⓘ student research workshop ⓘ tutorials ⓘ workshops ⓘ |
| language | English ⓘ |
| organizedBy | Association for Computational Linguistics ⓘ |
| reviewProcess | peer reviewed ⓘ |
| scope | international ⓘ |
| shortName | ACL ⓘ |
| submissionType |
findings papers
ⓘ
peer‑reviewed research papers ⓘ system demonstration papers ⓘ |
| topic |
computational semantics
ⓘ
dialogue and interactive systems ⓘ dialogue systems ⓘ discourse and pragmatics ⓘ ethics in NLP ⓘ evaluation of NLP systems ⓘ fairness and bias in language technologies ⓘ information extraction ⓘ information retrieval for text ⓘ interpretability of language models ⓘ language grounding and multimodality ⓘ language modeling ⓘ language resources and evaluation ⓘ low‑resource language processing ⓘ machine translation ⓘ multilingual NLP ⓘ natural language generation ⓘ natural language understanding ⓘ question answering ⓘ sentiment analysis ⓘ speech and language processing ⓘ syntax and parsing ⓘ text summarization ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Annual Meeting of the Association for Computational Linguistics Description of subject: The Annual Meeting of the Association for Computational Linguistics is a premier international conference that showcases cutting-edge research in natural language processing and computational linguistics.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Annual Meeting of the Association for Computational Linguistics
Longformer
→
citationVenue
→
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
ⓘ
linked to: Annual Meeting of the Association for Computational Linguistics
linked to: Annual Meeting of the Association for Computational Linguistics
linked to: Annual Meeting of the Association for Computational Linguistics
Association for Computational Linguistics
→
hasMainConference
→
ACL (Annual Meeting of the Association for Computational Linguistics)
ⓘ
linked to: Annual Meeting of the Association for Computational Linguistics
Association for Computational Linguistics
→
organizesConference
→
ACL (Annual Meeting of the Association for Computational Linguistics)
ⓘ
linked to: Annual Meeting of the Association for Computational Linguistics