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 301–325 of 458 papers

Title	Date	Tasks	Status
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling	Jun 30, 2019	Intent DetectionSentence	CodeCode Available
A weakly supervised sequence tagging and grammar induction approach to semantic frame slot filling	Jun 15, 2019	slot-fillingSlot Filling	—Unverified
Reinforcement Learning of Minimalist Numeral Grammars	Jun 11, 2019	reinforcement-learningReinforcement Learning	—Unverified
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference	Jun 5, 2019	Retrievalslot-filling	—Unverified
Data Augmentation by Data Noising for Open-vocabulary Slots in Spoken Language Understanding	Jun 1, 2019	Data Augmentationslot-filling	—Unverified
A Self-Attention Joint Model for Spoken Language Understanding in Situational Dialog Applications	May 27, 2019	Goal-Oriented DialogIntent Detection	—Unverified
Transferring SLU Models in Novel Domains	May 1, 2019	Intent RecognitionMeta-Learning	—Unverified
Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances	Apr 23, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems	Apr 5, 2019	Diversityintent-classification	—Unverified
Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning	Feb 24, 2019	Hierarchical Reinforcement Learningreinforcement-learning	—Unverified
Context-Aware Visual Compatibility Prediction	Feb 10, 2019	Graph Neural NetworkMetric Learning	CodeCode Available
Beyond Turing: Intelligent Agents Centered on the User	Jan 20, 2019	Chatbotslot-filling	—Unverified
A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling	Dec 26, 2018	Decoder	CodeCode Available
Joint Slot Filling and Intent Detection via Capsule Neural Networks	Dec 22, 2018	Intent DetectionNatural Language Understanding	CodeCode Available
Recurrent Neural Networks with Pre-trained Language Model Embedding for Slot Filling Task	Dec 12, 2018	Language ModelingLanguage Modelling	CodeCode Available
Exploring the importance of context and embeddings in neural NER models for task-oriented dialogue systems	Dec 6, 2018	named-entity-recognitionNamed Entity Recognition	—Unverified
Back to the Future for Dialogue Research: A Position Paper	Dec 4, 2018	Positionslot-filling	—Unverified
Cross-Lingual Approaches to Reference Resolution in Dialogue Systems	Nov 27, 2018	Cross-Lingual TransferData Augmentation	—Unverified
Natural language understanding for task oriented dialog in the biomedical domain in a low resources context	Nov 23, 2018	Data AugmentationGeneral Classification	—Unverified
CIS at TAC Cold Start 2015: Neural Networks and Coreference Resolution for Slot Filling	Nov 6, 2018	coreference-resolutionCoreference Resolution	—Unverified
Elastic CRFs for Open-ontology Slot Filling	Nov 4, 2018	slot-fillingSlot Filling	—Unverified
DERE: A Task and Domain-Independent Slot Filling Framework for Declarative Relation Extraction	Nov 1, 2018	BIG-bench Machine LearningRelation	—Unverified
Applications of NLG in practical conversational AI settings	Nov 1, 2018	Slot FillingText Generation	—Unverified
Semantic Parsing for Task Oriented Dialog using Hierarchical Representations	Oct 18, 2018	Constituency ParsingSemantic Parsing	—Unverified
Extracting Arguments from Korean Question and Command: An Annotated Corpus for Structured Paraphrasing	Oct 10, 2018	Argument MiningManagement	CodeCode Available

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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	BiSLU	Micro F1	89.4	—	Unverified
4	SSRAN	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	JointBERT-CAE	F1	0.96	—	Unverified
4	Joint BERT	F1	0.96	—	Unverified
5	Stack-Propagation (+BERT)	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