slot-filling
108 papers with code • 0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in slot-filling
Libraries
Use these libraries to find slot-filling models and implementations
Persian-ATIS
Most implemented papers
Improving Slot Filling in Spoken Language Understanding with Joint Pointer and Attention
huagong-chung/PtrNet_SLU
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ACL 2018
We present a generative neural network model for slot filling based on a sequence-to-sequence (Seq2Seq) model together with a pointer network, in the situation where only sentence-level slot annotations are available in the spoken dialogue data.
Position-aware Self-attention with Relative Positional Encodings for Slot Filling
ivan-bilan/tac-self-attention
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The self-attention encoder also uses a custom implementation of relative positional encodings which allow each word in the sentence to take into account its left and right context.
Recurrent Neural Networks with Pre-trained Language Model Embedding for Slot Filling Task
Liang-Qiu/is13
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In recent years, Recurrent Neural Networks (RNNs) based models have been applied to the Slot Filling problem of Spoken Language Understanding and achieved the state-of-the-art performances.
A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling
ray075hl/Bi-Model-Intent-And-Slot
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NAACL 2018
The most effective algorithms are based on the structures of sequence to sequence models (or "encoder-decoder" models), and generate the intents and semantic tags either using separate models or a joint model.
Robust Zero-Shot Cross-Domain Slot Filling with Example Values
zliucr/coach
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ACL 2019
Task-oriented dialog systems increasingly rely on deep learning-based slot filling models, usually needing extensive labeled training data for target domains.
#MeTooMaastricht: Building a chatbot to assist survivors of sexual harassment
Inspired by the recent social movement of #MeToo, we are building a chatbot to assist survivors of sexual harassment cases (designed for the city of Maastricht but can easily be extended).
Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems
zliucr/mixed-language-training
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Recently, data-driven task-oriented dialogue systems have achieved promising performance in English.
Template-based Question Answering using Recursive Neural Networks
ram-g-athreya/RNN-Question-Answering
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When the top-2 most likely templates were considered the model achieves an accuracy of 0. 945 on the LC-QuAD dataset and 0. 786 on the QALD-7 dataset.
RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases
kakaoenterprise/RYANSQL
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CL (ACL) 2021
Text-to-SQL is the problem of converting a user question into an SQL query, when the question and database are given.
AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling
LooperXX/AGIF
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Findings of the Association for Computational Linguistics 2020
Such an interaction layer is applied to each token adaptively, which has the advantage to automatically extract the relevant intents information, making a fine-grained intent information integration for the token-level slot prediction.
