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 376–400 of 458 papers

Title	Date	Tasks	Status	Hype
Neural Models for Sequence Chunking	Jan 15, 2017	ChunkingNatural Language Understanding	CodeCode Available	0
A Web-based Tool for the Integrated Annotation of Semantic and Syntactic Structures	Dec 1, 2016	Relation ExtractionSlot Filling	—Unverified	0
On the Non-canonical Valency Filling	Dec 1, 2016	Positionslot-filling	—Unverified	0
Nonparametric Bayesian Models for Spoken Language Understanding	Nov 1, 2016	Slot FillingSpoken Language Understanding	—Unverified	0
Combining Supervised and Unsupervised Enembles for Knowledge Base Population	Nov 1, 2016	Entity LinkingKnowledge Base Population	—Unverified	0
Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding	Oct 13, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Evaluating Induced CCG Parsers on Grounded Semantic Parsing	Sep 29, 2016	Semantic Parsingslot-filling	CodeCode Available	0
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling	Sep 6, 2016	Decoderintent-classification	CodeCode Available	0
Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks	Sep 6, 2016	BenchmarkingIntent Detection	—Unverified	0
Rapid Prototyping of Form-driven Dialogue Systems Using an Open-source Framework	Sep 1, 2016	Dialogue ManagementForm	—Unverified	0
Supporting Spoken Assistant Systems with a Graphical User Interface that Signals Incremental Understanding and Prediction State	Sep 1, 2016	Slot FillingSpoken Dialogue Systems	—Unverified	0
Event Linking with Sentential Features from Convolutional Neural Networks	Aug 1, 2016	Coreference ResolutionSlot Filling	—Unverified	0
Unsupervised Person Slot Filling based on Graph Mining	Aug 1, 2016	Active LearningDependency Parsing	—Unverified	0
IBC-C: A Dataset for Armed Conflict Analysis	Aug 1, 2016	Named Entity Recognition (NER)Slot Filling	—Unverified	0
Learning Relational Dependency Networks for Relation Extraction	Jul 1, 2016	Knowledge Base ConstructionRelation	—Unverified	0
Sequential Convolutional Neural Networks for Slot Filling in Spoken Language Understanding	Jun 24, 2016	General Classificationslot-filling	—Unverified	0
IKE - An Interactive Tool for Knowledge Extraction	Jun 1, 2016	ChunkingSlot Filling	—Unverified	0
Knowledge Base Population for Organization Mentions in Email	Jun 1, 2016	Entity LinkingKnowledge Base Population	—Unverified	0
An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition	Jun 1, 2016	Automatic Speech Recognition (ASR)Chinese Word Segmentation	—Unverified	0
Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network	Jun 1, 2016	ChunkingDependency Parsing	—Unverified	0
Stacking With Auxiliary Features	May 27, 2016	object-detectionObject Detection	—Unverified	0
Data Programming: Creating Large Training Sets, Quickly	May 25, 2016	BIG-bench Machine LearningSlot Filling	CodeCode Available	1
Learning End-to-End Goal-Oriented Dialog	May 24, 2016	dialog state trackingGoal-Oriented Dialog	CodeCode Available	0
Supervised and Unsupervised Ensembling for Knowledge Base Population	Apr 16, 2016	Knowledge Base Populationslot-filling	—Unverified	0
Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding	Apr 1, 2016	Domain AdaptationMulti-Task Learning	—Unverified	0

Show:10 25 50

← PrevPage 16 of 19Next →

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