https://github.com/pkunlp-icler/aged
공식 코드Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling
Papers with Code 아카이브
Semantic Role Labeling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 40
Semantic role labeling aims to model the predicate-argument structure of a sentence and is often described as answering "Who did what to whom". BIO notation is typically used for semantic role labeling.
Example:
| Housing | starts | are | expected | to | quicken | a | bit | from | August’s | pace |
|---|---|---|---|---|---|---|---|---|---|---|
| B-ARG1 | I-ARG1 | O | O | O | V | B-ARG2 | I-ARG2 | B-ARG3 | I-ARG3 | I-ARG3 |
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/pkunlp-icler/atp
공식 코드ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs
https://github.com/plroit/qasrl-gs
공식 코드https://github.com/pluslabnlp/geneva
공식 코드https://github.com/pmulcaire/rosita
공식 코드Polyglot Contextual Representations Improve Crosslingual Transfer
https://github.com/psunlpgroup/fish-dip
공식 코드Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning
https://github.com/qianc62/MGTC
공식 코드An Approach for Process Model Extraction By Multi-Grained Text Classification
https://github.com/rahular/joint-coref-srl
공식 코드Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards
https://github.com/salesforce/decaNLP
공식 코드The Natural Language Decathlon: Multitask Learning as Question Answering
https://github.com/sapienzanlp/gsrl
공식 코드https://github.com/scofield7419/TransitionSRL
공식 코드End-to-end Semantic Role Labeling with Neural Transition-based Model
https://github.com/scofield7419/XSRL-ACL
공식 코드Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus
https://github.com/shannonai/mrc-srl
공식 코드https://github.com/strubell/LISA
공식 코드Linguistically-Informed Self-Attention for Semantic Role Labeling
https://github.com/successar/segment_influence_functions
공식 코드https://github.com/suda-la/mucpad
공식 코드https://github.com/tyliupku/Arbitrary-Order-Infnet
공식 코드An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks
https://github.com/uclanlp/reducingbias
공식 코드Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
https://github.com/umanlp/spkatt-2023
공식 코드Speaker attribution in German parliamentary debates with QLoRA-adapted large language models
https://github.com/universalpropositions/primesrl-eval
공식 코드PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation
https://github.com/utahnlp/marginal_srl_with_semlink
공식 코드Learning Semantic Role Labeling from Compatible Label Sequences
https://github.com/utahnlp/structured_tuning_srl
공식 코드https://github.com/uwnlp/qasrl-bank
공식 코드https://github.com/vandadim/adas_mri
공식 코드Comparison of single and multitask learning for predicting cognitive decline based on MRI data
https://github.com/wanyingzhao/collective_narrative_shift
공식 코드Discovering collective narratives shifts in online discussions
https://github.com/wietsedv/bertje
공식 코드https://github.com/yzhangcs/crfsrl
공식 코드Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments
https://github.com/zhangshiyue/lite2-3pyramid
공식 코드Finding a Balanced Degree of Automation for Summary Evaluation
https://github.com/zhaoyanpeng/srltransfer
공식 코드Unsupervised Transfer of Semantic Role Models from Verbal to Nominal Domain
https://github.com/zslin177/srl-as-gp
공식 코드Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph Parsing
https://github.com/2023-MindSpore-1/ms-code-190
https://github.com/ARiSE-Lab/DeepInspect
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
https://github.com/AshwinDeshpande96/Hierarchical-Softmax
https://github.com/ChunchuanLv/amr-evaluation-tool-enhanced
https://github.com/ClaudiaRaffaelli/Protein-subcellular-localization
https://github.com/HIT-SCIR/ELMoForManyLangs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.