TACL
E736214
TACL (Transactions of the Association for Computational Linguistics) is a leading peer-reviewed journal publishing high-quality research in natural language processing and computational linguistics.
All labels observed (1)
| Label | Occurrences |
|---|---|
| TACL canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8483064 — 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: TACL Context triple: [Nal Kalchbrenner, hasPublishedIn, TACL]
-
A.
TLA
TLA is a formal specification language developed by Leslie Lamport for describing and reasoning about concurrent and distributed systems using temporal logic.
-
B.
TAC
TAC is the commonly used abbreviation for The Athletic Congress, the former governing body for track and field in the United States.
-
C.
TACC
TACC is an advanced driver-assistance feature that automatically adjusts a vehicle’s speed to maintain a safe following distance from traffic ahead.
-
D.
LTAC
LTAC is the ICAO airport code for Esenboğa International Airport, the main airport serving Ankara, Turkey.
-
E.
TALE Conference
TALE Conference is an annual IEEE international conference focused on advancing engineering and technology education across the Asia-Pacific region.
- 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: TACL Target entity description: TACL (Transactions of the Association for Computational Linguistics) is a leading peer-reviewed journal publishing high-quality research in natural language processing and computational linguistics.
-
A.
TLA
TLA is a formal specification language developed by Leslie Lamport for describing and reasoning about concurrent and distributed systems using temporal logic.
-
B.
TAC
TAC is the commonly used abbreviation for The Athletic Congress, the former governing body for track and field in the United States.
-
C.
TACC
TACC is an advanced driver-assistance feature that automatically adjusts a vehicle’s speed to maintain a safe following distance from traffic ahead.
-
D.
LTAC
LTAC is the ICAO airport code for Esenboğa International Airport, the main airport serving Ankara, Turkey.
-
E.
TALE Conference
TALE Conference is an annual IEEE international conference focused on advancing engineering and technology education across the Asia-Pacific region.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
academic journal
ⓘ
scientific journal ⓘ |
| abbreviation | TACL ⓘ |
| accessModel | open access ⓘ |
| associatedOrganization | Association for Computational Linguistics ⓘ |
| audience |
artificial intelligence researchers
ⓘ
computer science academics ⓘ researchers in computational linguistics ⓘ researchers in natural language processing ⓘ |
| countryOfPublication |
United States
ⓘ
linked to:
United States of America
|
| discipline |
artificial intelligence
ⓘ
computer science ⓘ |
| field |
computational linguistics
ⓘ
natural language processing ⓘ |
| focus |
high-quality research
ⓘ
original research ⓘ significant contributions to NLP ⓘ significant contributions to computational linguistics ⓘ |
| format |
empirical studies
ⓘ
methodological papers ⓘ research articles ⓘ survey articles ⓘ theoretical papers ⓘ |
| fullName | Transactions of the Association for Computational Linguistics ⓘ |
| hasWebsite | https://transacl.org/ ⓘ |
| isConsidered |
leading journal in computational linguistics
ⓘ
leading journal in natural language processing ⓘ |
| language | English ⓘ |
| medium | online ⓘ |
| publishedFor | Association for Computational Linguistics ⓘ |
| publisher | MIT Press ⓘ |
| reviewProcess | peer review ⓘ |
| sponsoringOrganization | Association for Computational Linguistics ⓘ |
| topic |
computational pragmatics
ⓘ
computational semantics ⓘ dialogue systems ⓘ discourse processing ⓘ evaluation of NLP systems ⓘ information extraction ⓘ language modeling ⓘ machine translation ⓘ multilingual NLP ⓘ question answering ⓘ semantic parsing ⓘ speech and language processing ⓘ syntactic parsing ⓘ |
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: TACL Description of subject: TACL (Transactions of the Association for Computational Linguistics) is a leading peer-reviewed journal publishing high-quality research in natural language processing and computational linguistics.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.