https://github.com/pangolulu/DCMTL
공식 코드Deep Cascade Multi-task Learning for Slot Filling in Online Shopping Assistant
Papers with Code 아카이브
Slot Filling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/patverga/torch-relation-extraction
공식 코드Multilingual Relation Extraction using Compositional Universal Schema
https://github.com/princeton-nlp/DensePhrases
공식 코드https://github.com/pswietojanski/slurp
공식 코드https://github.com/rafiepour/CTran
공식 코드CTRAN: CNN-Transformer-based Network for Natural Language Understanding
https://github.com/ram-g-athreya/RNN-Question-Answering
공식 코드Template-based Question Answering using Recursive Neural Networks
https://github.com/salesforce/WikiSQL
공식 코드SeaD: End-to-end Text-to-SQL Generation with Schema-aware Denoising
https://github.com/salesforce/fewxc
공식 코드Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning
https://github.com/shikib/generative_slot_filling
공식 코드GenSF: Simultaneous Adaptation of Generative Pre-trained Models and Slot Filling
https://github.com/sivareddyg/graph-parser
공식 코드https://github.com/snehasinghania/multi_valued_slot_filling
공식 코드https://github.com/switchsyj/adae2ml-xsf
공식 코드Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling
https://github.com/taoyds/typesql
공식 코드TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation
https://github.com/terryqj0107/RiSAWOZ
공식 코드https://github.com/viczong/extract_covid19_events_from_twitter
공식 코드Extracting a Knowledge Base of COVID-19 Events from Social Media
https://github.com/vinairesearch/jpis
공식 코드https://github.com/vinairesearch/misca
공식 코드MISCA: A Joint Model for Multiple Intent Detection and Slot Filling with Intent-Slot Co-Attention
https://github.com/vinairesearch/phoatis_disfluency
공식 코드From Disfluency Detection to Intent Detection and Slot Filling
https://github.com/w-lw/pclc
공식 코드https://github.com/wangcongcong123/ttt
공식 코드https://github.com/wangpeiyi9979/esd
공식 코드An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling
https://github.com/warnikchow/sae4k
공식 코드https://github.com/wasiahmad/PolicyIE
공식 코드https://github.com/waynewu6250/CaBERT-SLU
공식 코드A Context-Aware Hierarchical BERT Fusion Network for Multi-turn Dialog Act Detection
https://github.com/xiaolinandy/slu-aug-prlm
공식 코드Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models
https://github.com/xingbowen714/co-guiding
공식 코드https://github.com/xsc1234/info-rag
공식 코드https://github.com/xsc1234/search-in-the-chain
공식 코드https://github.com/yizhen20133868/GL-GIN
공식 코드https://github.com/ypapanik/biomedical-slot-filling
공식 코드https://github.com/yuanzhe-jia/in-game-toxic-detection
공식 코드In-game Toxic Language Detection: Shared Task and Attention Residuals
https://github.com/zhiqix/nl2gql
공식 코드$R^3$-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL
https://github.com/zliucr/coach
공식 코드Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling
https://github.com/zliucr/mixed-language-training
공식 코드https://gitlab.com/Jaco-Assistant/finstreder
공식 코드https://bitbucket.org/robvanderg/sid4lr
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.