"SPLADE" redirects here. For the eating utensil, see
splayd.
Learned sparse retrieval or sparse neural search is an approach to
text search which uses a sparse vector representation of queries and documents.[1] It borrows techniques both from lexical
bag-of-words and
vector embedding algorithms, and is claimed to perform better than either alone. The best-known sparse neural search systems are SPLADE[2] and its successor SPLADE v2.[3] Others include DeepCT,[4] uniCOIL,[5] EPIC,[6] DeepImpact,[7] TILDE and TILDEv2,[8] Sparta,[9] SPLADE-max, and DistilSPLADE-max.[3]
Some implementations of SPLADE have similar latency to
Okapi BM25 lexical search while giving as good results as state-of-the-art neural rankers on in-domain data.[10]
^
abFormal, Thibault; Piworwarski, Benjamin; Lassance, Carlos; Clinchant, Stéphane (21 September 2021). "SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval".
arXiv:2109.10086v1 [
cs.IR].
^Lin, Jimmy; Ma, Xueguang (28 June 2021). "A few brief notes on DeepImpact, COIL, and a conceptual framework for information retrieval techniques".
arXiv:2106.14807 [
cs.IR].
"SPLADE" redirects here. For the eating utensil, see
splayd.
Learned sparse retrieval or sparse neural search is an approach to
text search which uses a sparse vector representation of queries and documents.[1] It borrows techniques both from lexical
bag-of-words and
vector embedding algorithms, and is claimed to perform better than either alone. The best-known sparse neural search systems are SPLADE[2] and its successor SPLADE v2.[3] Others include DeepCT,[4] uniCOIL,[5] EPIC,[6] DeepImpact,[7] TILDE and TILDEv2,[8] Sparta,[9] SPLADE-max, and DistilSPLADE-max.[3]
Some implementations of SPLADE have similar latency to
Okapi BM25 lexical search while giving as good results as state-of-the-art neural rankers on in-domain data.[10]
^
abFormal, Thibault; Piworwarski, Benjamin; Lassance, Carlos; Clinchant, Stéphane (21 September 2021). "SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval".
arXiv:2109.10086v1 [
cs.IR].
^Lin, Jimmy; Ma, Xueguang (28 June 2021). "A few brief notes on DeepImpact, COIL, and a conceptual framework for information retrieval techniques".
arXiv:2106.14807 [
cs.IR].