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 351400 of 458 papers

TitleStatusHype
Deep Cascade Multi-task Learning for Slot Filling in Online Shopping AssistantCode0
Neural Baby TalkCode0
Actigraphy-based Sleep/Wake Pattern Detection using Convolutional Neural Networks0
Multi-Domain Adversarial Learning for Slot Filling in Spoken Language Understanding0
Tracking of enriched dialog states for flexible conversational information access0
Open Relation Extraction and Grounding0
WiseReporter: A Korean Report Generation System0
Impact of Coreference Resolution on Slot Filling0
LD-SDS: Towards an Expressive Spoken Dialogue System based on Linked-Data0
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks0
On the Predicate-Argument Structure: Internal and Absorbing Scope0
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources0
Natural Language Does Not Emerge `Naturally' in Multi-Agent DialogCode0
Position-aware Attention and Supervised Data Improve Slot FillingCode0
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain AdaptationCode0
Utterance Intent Classification of a Spoken Dialogue System with Efficiently Untied Recursive Autoencoders0
Combining Word-Level and Character-Level Representations for Relation Classification of Informal Text0
Towards Zero-Shot Frame Semantic Parsing for Domain ScalingCode1
Improving Slot Filling Performance with Attentive Neural Networks on Dependency Structures0
Pocket Knowledge Base Population0
Generative Encoder-Decoder Models for Task-Oriented Spoken Dialog Systems with Chatting Capability0
Zero-Shot Relation Extraction via Reading ComprehensionCode1
InToEventS: An Interactive Toolkit for Discovering and Building Event Schemas0
Hybrid Dialog State Tracker with ASR Features0
A Knowledge-Grounded Neural Conversation ModelCode0
Neural Models for Sequence ChunkingCode0
A Web-based Tool for the Integrated Annotation of Semantic and Syntactic Structures0
On the Non-canonical Valency Filling0
Nonparametric Bayesian Models for Spoken Language Understanding0
Combining Supervised and Unsupervised Enembles for Knowledge Base Population0
Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding0
Evaluating Induced CCG Parsers on Grounded Semantic ParsingCode0
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot FillingCode0
Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks0
Rapid Prototyping of Form-driven Dialogue Systems Using an Open-source Framework0
Supporting Spoken Assistant Systems with a Graphical User Interface that Signals Incremental Understanding and Prediction State0
Event Linking with Sentential Features from Convolutional Neural Networks0
Unsupervised Person Slot Filling based on Graph Mining0
IBC-C: A Dataset for Armed Conflict Analysis0
Learning Relational Dependency Networks for Relation Extraction0
Sequential Convolutional Neural Networks for Slot Filling in Spoken Language Understanding0
IKE - An Interactive Tool for Knowledge Extraction0
Knowledge Base Population for Organization Mentions in Email0
An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition0
Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network0
Stacking With Auxiliary Features0
Data Programming: Creating Large Training Sets, QuicklyCode1
Learning End-to-End Goal-Oriented DialogCode0
Supervised and Unsupervised Ensembling for Knowledge Base Population0
Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding0
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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
3BiSLUMicro F189.4Unverified
4SSRANMicro 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
3JointBERT-CAEF10.96Unverified
4Joint BERTF10.96Unverified
5Stack-Propagation (+BERT)F10.96Unverified
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