Slot Filling

The goal of Slot Filling is to identify from a running dialog different slots, which correspond to different parameters of the user’s query. For instance, when a user queries for nearby restaurants, key slots for location and preferred food are required for a dialog system to retrieve the appropriate information. Thus, the main challenge in the slot-filling task is to extract the target entity.

Source: Real-time On-Demand Crowd-powered Entity Extraction

Image credit: Robust Retrieval Augmented Generation for Zero-shot Slot Filling

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 141–150 of 458 papers

Title	Date	Tasks	Status
Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence	Dec 1, 2022	Graph Neural NetworkIntent Detection	CodeCode Available
ESIE-BERT: Enriching Sub-words Information Explicitly with BERT for Joint Intent Classification and SlotFilling	Nov 27, 2022	intent-classificationIntent Classification	—Unverified
A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding	Nov 22, 2022	Intent DetectionSemantic Frame Parsing	—Unverified
Introducing Semantics into Speech Encoders	Nov 15, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
In-game Toxic Language Detection: Shared Task and Attention Residuals	Nov 11, 2022	slot-fillingSlot Filling	CodeCode Available
A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding	Nov 8, 2022	Intent DetectionSemantic Frame Parsing	—Unverified
End-to-end Spoken Language Understanding with Tree-constrained Pointer Generator	Oct 29, 2022	intent-classificationIntent Classification	CodeCode Available
Augmenting Task-Oriented Dialogue Systems with Relation Extraction	Oct 24, 2022	intent-classificationIntent Classification	—Unverified
Shift-Reduce Task-Oriented Semantic Parsing with Stack-Transformers	Oct 21, 2022	Constituency ParsingSemantic Parsing	CodeCode Available
Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling	Oct 19, 2022	Intent DetectionNatural Language Understanding	—Unverified

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All datasets KILT: Zero Shot RE KILT: T-REx MixSNIPS MixATIS ATIS SNIPS SLURP MASSIVE ATIS (vi)CAIS Dialogue State Tracking Challenge MULTIWOZ 2.2

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	single ngram	KILT-AC	73.2	—	Unverified
2	KGI_1	KILT-AC	72.31	—	Unverified
3	MetaRAG	KILT-AC	71.1	—	Unverified
4	KGI_0 (reupload)	KILT-AC	68.32	—	Unverified
5	Wikipedia	KILT-AC	67.2	—	Unverified
6	Multitask DPR + BART	KILT-AC	50.64	—	Unverified
7	10k	KILT-AC	41.34	—	Unverified
8	DensePhrases	KILT-AC	41.34	—	Unverified
9	RAG	KILT-AC	36.83	—	Unverified
10	Coop. Distil Bert	KILT-AC	34.13	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Re2G	KILT-AC	75.84	—	Unverified
2	KGI_1	KILT-AC	69.14	—	Unverified
3	Wikipedia	KILT-AC	64.64	—	Unverified
4	MetaRAG	KILT-AC	61.88	—	Unverified
5	single ngram	KILT-AC	60.08	—	Unverified
6	KGI_0 (reupload)	KILT-AC	55.54	—	Unverified
7	Coop. DistilBert	KILT-AC	36.68	—	Unverified
8	DensePhrases	KILT-AC	27.84	—	Unverified
9	10k	KILT-AC	27.84	—	Unverified
10	RAG	KILT-AC	23.12	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BiSLU	Micro F1	97.2	—	Unverified
2	SLIM (PACL)	Micro F1	96.8	—	Unverified
3	SLIM	Micro F1	96.5	—	Unverified
4	Uni-MIS	Micro F1	96.4	—	Unverified
5	TFMN	Micro F1	96.4	—	Unverified
6	TFMN (PACL)	Micro F1	96.3	—	Unverified
7	RoBERTa (PACL)	Micro F1	96.2	—	Unverified
8	DGIF	Micro F1	95.9	—	Unverified
9	SSRAN	Micro F1	95.8	—	Unverified
10	MISCA	Micro F1	95.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MISCA	Micro F1	90.5	—	Unverified
2	Co-guiding Net	Micro F1	89.8	—	Unverified
3	SSRAN	Micro F1	89.4	—	Unverified
4	BiSLU	Micro F1	89.4	—	Unverified
5	UGEN	Micro F1	89.2	—	Unverified
6	Topic Information	Micro F1	88.7	—	Unverified
7	SLIM	Micro F1	88.5	—	Unverified
8	Global Intent-Slot Co-occurence	Micro F1	88.5	—	Unverified
9	DGIF	Micro F1	88.5	—	Unverified
10	Uni-MIS	Micro F1	88.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CTRAN	F1	0.98	—	Unverified
2	Bi-model with a decoder	F1	0.97	—	Unverified
3	Joint BERT	F1	0.96	—	Unverified
4	Stack-Propagation (+BERT)	F1	0.96	—	Unverified
5	JointBERT-CAE	F1	0.96	—	Unverified
6	AGIF	F1	0.96	—	Unverified
7	Joint BERT + CRF	F1	0.96	—	Unverified
8	Attention Encoder-Decoder NN	F1	0.96	—	Unverified
9	Context Encoder	F1	0.96	—	Unverified
10	SF-ID	F1	0.96	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CTRAN	F1	98.3	—	Unverified
2	Stack-Propagation (+BERT)	F1	97	—	Unverified
3	JointBERT-CAE	F1	97	—	Unverified
4	AGIF	F1	94.8	—	Unverified
5	Stack-Propagation	F1	94.2	—	Unverified
6	Context Encoder	F1	93.6	—	Unverified
7	SF-ID	F1	92.23	—	Unverified
8	Slot-Gated BLSTM with Attension	F1	88.8	—	Unverified
9	DecomposedMetaSL	F1 (1-shot) avg	74.89	—	Unverified
10	Capsule-NLU	F1	0.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TDT 0-6	F1	0.81	—	Unverified
2	Partially Fine-tuned HuBERT	F1	0.75	—	Unverified
3	Multi-SLURP	F1	0.64	—	Unverified
4	Finstreder (Conformer)	F1	0.4	—	Unverified
5	Finstreder (Quartznet)	F1	0.31	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	XLM-R Base	Slot F1 Score	83.6	—	Unverified
2	mT5 Base (encoder-only)	Slot F1 Score	82.2	—	Unverified
3	mT5 Base (text-to-text)	Slot F1 Score	81.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	JointBERT-CAE	Slot F1	95.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CM-Net	F1	86.16	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MIDAS	F1 score	98.56	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MIDAS	F1 score	99.28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Fashion GAE	FITB	96.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	General SLU Model w/ Profile	F1	0.83	—	Unverified