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Slot Filling

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하위 태스크: 2
평가표: 14
보존된 평가 기록: 110

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

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/cl-tohoku/typic

공식 코드

TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation

https://github.com/czhang99/Capsule-NLU

공식 코드

Joint Slot Filling and Intent Detection via Capsule Neural Networks

https://github.com/danifg/shiftreduce-top

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Shift-Reduce Task-Oriented Semantic Parsing with Stack-Transformers

https://github.com/dannigt/mid-align

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Middle-Layer Representation Alignment for Cross-Lingual Transfer in Fine-Tuned LLMs

https://github.com/didi/delta

공식 코드

DELTA: A DEep learning based Language Technology plAtform

https://github.com/digitalphonetics/multilingual-seq2seq-slu

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Leveraging Multilingual Self-Supervised Pretrained Models for Sequence-to-Sequence End-to-End Spoken Language Understanding

https://github.com/dongguanting/Demo-NSF

공식 코드

DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task

https://github.com/dongguanting/noise-sf

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Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations

https://github.com/dongguanting/noise-slot-filling-llm

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Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task

https://github.com/facebookresearch/KILT

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KILT: a Benchmark for Knowledge Intensive Language Tasks

https://github.com/fhgr/careercoach2022

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Slot Filling for Extracting Reskilling and Upskilling Options from the Web

https://github.com/flyingcat-fa/tspmn

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Matching-based Term Semantics Pre-training for Spoken Patient Query Understanding

https://github.com/google/example_extrapolation

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Neural Data Augmentation via Example Extrapolation

https://github.com/healx/biomed-slot-filling

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Slot Filling for Biomedical Information Extraction

https://github.com/hlt-mt/speech-massive

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Speech-MASSIVE: A Multilingual Speech Dataset for SLU and Beyond

https://github.com/hqsiswiliam/punctuation-restoration-scl

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Token-Level Supervised Contrastive Learning for Punctuation Restoration

https://github.com/ibm/api-blend

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API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs

https://github.com/ibm/kgi-slot-filling

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Robust Retrieval Augmented Generation for Zero-shot Slot Filling

https://github.com/jhyuklee/DensePhrases

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Learning Dense Representations of Phrases at Scale

https://github.com/jiasenlu/NeuralBabyTalk

공식 코드

Neural Baby Talk

https://github.com/jitinkrishnan/Multilingual-ZeroShot-SlotFilling

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Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling

https://github.com/jokieleung/ntrd

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Learning Neural Templates for Recommender Dialogue System

https://github.com/kakaoenterprise/RYANSQL

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RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases

https://github.com/kangbrilliant/DCA-Net

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A Co-Interactive Transformer for Joint Slot Filling and Intent Detection

https://github.com/konglonggefdu/transfertod

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TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities

https://github.com/l3cube-pune/MarathiNLP

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L3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT models

https://github.com/lixuefeng2020ai/gzpl

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Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting

https://github.com/looperxx/proslu

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Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding

https://github.com/mainlp/auxtasks-bavarian-sid

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Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case Study

https://github.com/mainlp/dialect-tod-robustness

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Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties

https://github.com/minnesotanlp/taddex

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Complex Mathematical Symbol Definition Structures: A Dataset and Model for Coordination Resolution in Definition Extraction

https://github.com/moore3930/SlotRefine

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SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling

https://github.com/mushfiqur11/bangla-sylheti-snips

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Intent Detection and Slot Filling for Home Assistants: Dataset and Analysis for Bangla and Sylheti

https://github.com/ncarraz/prompt_generalization

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Can discrete information extraction prompts generalize across language models?

https://github.com/nhhoang96/multicl_slot_induction

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Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning

https://github.com/opengptx/illuminer

공식 코드

ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent Classifier and Slot Filler

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.