SOTAVerified

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

Showing 301350 of 458 papers

TitleStatusHype
Data Augmentation by Data Noising for Open-vocabulary Slots in Spoken Language Understanding0
A Self-Attention Joint Model for Spoken Language Understanding in Situational Dialog Applications0
Transferring SLU Models in Novel Domains0
Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances0
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems0
BERT for Joint Intent Classification and Slot FillingCode1
Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning0
Context-Aware Visual Compatibility PredictionCode0
Beyond Turing: Intelligent Agents Centered on the User0
A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot FillingCode0
Joint Slot Filling and Intent Detection via Capsule Neural NetworksCode0
Recurrent Neural Networks with Pre-trained Language Model Embedding for Slot Filling TaskCode0
Exploring the importance of context and embeddings in neural NER models for task-oriented dialogue systems0
Back to the Future for Dialogue Research: A Position Paper0
Cross-Lingual Approaches to Reference Resolution in Dialogue Systems0
Natural language understanding for task oriented dialog in the biomedical domain in a low resources context0
CIS at TAC Cold Start 2015: Neural Networks and Coreference Resolution for Slot Filling0
Elastic CRFs for Open-ontology Slot Filling0
Applications of NLG in practical conversational AI settings0
DERE: A Task and Domain-Independent Slot Filling Framework for Declarative Relation Extraction0
Semantic Parsing for Task Oriented Dialog using Hierarchical Representations0
Extracting Arguments from Korean Question and Command: An Annotated Corpus for Structured ParaphrasingCode0
Query Tracking for E-commerce Conversational Search: A Machine Comprehension Perspective0
Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding0
A Self-Attentive Model with Gate Mechanism for Spoken Language Understanding0
Learning to Embed Semantic Correspondence for Natural Language Understanding0
User Information Augmented Semantic Frame Parsing using Coarse-to-Fine Neural Networks0
Source-Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language0
LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation0
Modeling with Recurrent Neural Networks for Open Vocabulary Slots0
Source Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language0
A New Concept of Deep Reinforcement Learning based Augmented General Tagging System0
Point Precisely: Towards Ensuring the Precision of Data in Generated Texts Using Delayed Copy Mechanism0
Position-aware Self-attention with Relative Positional Encodings for Slot FillingCode0
A deep learning approach for understanding natural language commands for mobile service robots0
Spoken Dialogue for Information Navigation0
Attention-based Semantic Priming for Slot-filling0
Baseline: A Library for Rapid Modeling, Experimentation and Development of Deep Learning Algorithms targeting NLPCode0
SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling0
Improving Slot Filling in Spoken Language Understanding with Joint Pointer and AttentionCode0
Combining Word Feature Vector Method with the Convolutional Neural Network for Slot Filling in Spoken Language Understanding0
Contextual Slot Carryover for Disparate Schemas0
Slot-Gated Modeling for Joint Slot Filling and Intent PredictionCode0
How Time Matters: Learning Time-Decay Attention for Contextual Spoken Language Understanding in DialoguesCode0
Marrying up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding0
Japanese Dialogue Corpus of Information Navigation and Attentive Listening Annotated with Extended ISO-24617-2 Dialogue Act Tags0
Simulating ASR errors for training SLU systems0
When ACE met KBP: End-to-End Evaluation of Knowledge Base Population with Component-level Annotation0
TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL GenerationCode0
Reduce, Reuse, Recycle: New uses for old QA resources0
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1single ngramKILT-AC73.2Unverified
2KGI_1KILT-AC72.31Unverified
3MetaRAGKILT-AC71.1Unverified
4KGI_0 (reupload)KILT-AC68.32Unverified
5WikipediaKILT-AC67.2Unverified
6Multitask DPR + BARTKILT-AC50.64Unverified
710kKILT-AC41.34Unverified
8DensePhrasesKILT-AC41.34Unverified
9RAGKILT-AC36.83Unverified
10Coop. Distil BertKILT-AC34.13Unverified
#ModelMetricClaimedVerifiedStatus
1Re2GKILT-AC75.84Unverified
2KGI_1KILT-AC69.14Unverified
3WikipediaKILT-AC64.64Unverified
4MetaRAGKILT-AC61.88Unverified
5single ngramKILT-AC60.08Unverified
6KGI_0 (reupload)KILT-AC55.54Unverified
7Coop. DistilBertKILT-AC36.68Unverified
8DensePhrasesKILT-AC27.84Unverified
910kKILT-AC27.84Unverified
10RAGKILT-AC23.12Unverified
#ModelMetricClaimedVerifiedStatus
1BiSLUMicro F197.2Unverified
2SLIM (PACL)Micro F196.8Unverified
3SLIMMicro F196.5Unverified
4Uni-MISMicro F196.4Unverified
5TFMNMicro F196.4Unverified
6TFMN (PACL)Micro F196.3Unverified
7RoBERTa (PACL)Micro F196.2Unverified
8DGIFMicro F195.9Unverified
9SSRANMicro F195.8Unverified
10MISCAMicro F195.2Unverified
#ModelMetricClaimedVerifiedStatus
1MISCAMicro F190.5Unverified
2Co-guiding NetMicro F189.8Unverified
3SSRANMicro F189.4Unverified
4BiSLUMicro F189.4Unverified
5UGENMicro F189.2Unverified
6Topic InformationMicro F188.7Unverified
7SLIMMicro F188.5Unverified
8Global Intent-Slot Co-occurenceMicro F188.5Unverified
9DGIFMicro F188.5Unverified
10Uni-MISMicro F188.3Unverified
#ModelMetricClaimedVerifiedStatus
1CTRANF10.98Unverified
2Bi-model with a decoderF10.97Unverified
3Joint BERTF10.96Unverified
4Stack-Propagation (+BERT)F10.96Unverified
5JointBERT-CAEF10.96Unverified
6AGIFF10.96Unverified
7Joint BERT + CRFF10.96Unverified
8Attention Encoder-Decoder NNF10.96Unverified
9Context EncoderF10.96Unverified
10SF-IDF10.96Unverified
#ModelMetricClaimedVerifiedStatus
1CTRANF198.3Unverified
2Stack-Propagation (+BERT)F197Unverified
3JointBERT-CAEF197Unverified
4AGIFF194.8Unverified
5Stack-PropagationF194.2Unverified
6Context EncoderF193.6Unverified
7SF-IDF192.23Unverified
8Slot-Gated BLSTM with AttensionF188.8Unverified
9DecomposedMetaSLF1 (1-shot) avg74.89Unverified
10Capsule-NLUF10.92Unverified
#ModelMetricClaimedVerifiedStatus
1TDT 0-6F10.81Unverified
2Partially Fine-tuned HuBERTF10.75Unverified
3Multi-SLURPF10.64Unverified
4Finstreder (Conformer)F10.4Unverified
5Finstreder (Quartznet)F10.31Unverified
#ModelMetricClaimedVerifiedStatus
1XLM-R BaseSlot F1 Score83.6Unverified
2mT5 Base (encoder-only)Slot F1 Score82.2Unverified
3mT5 Base (text-to-text)Slot F1 Score81.3Unverified
#ModelMetricClaimedVerifiedStatus
1JointBERT-CAESlot F195.5Unverified
#ModelMetricClaimedVerifiedStatus
1CM-NetF186.16Unverified
#ModelMetricClaimedVerifiedStatus
1MIDASF1 score98.56Unverified
#ModelMetricClaimedVerifiedStatus
1MIDASF1 score99.28Unverified
#ModelMetricClaimedVerifiedStatus
1Fashion GAEFITB96.9Unverified
#ModelMetricClaimedVerifiedStatus
1General SLU Model w/ ProfileF10.83Unverified