https://github.com/danifg/srlpointer
공식 코드Transition-based Semantic Role Labeling with Pointer Networks
Papers with Code 아카이브
Semantic Role Labeling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 7
- 보존된 평가 기록
- 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/deeplab-ai/selfsupervisedvrd
공식 코드https://github.com/diegma/neural-dep-srl
공식 코드A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling
https://github.com/diegma/span-gcn
공식 코드Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling
https://github.com/dreamh1gh/awesome-srl
공식 코드https://github.com/dslaborg/germeval2023
공식 코드Speaker attribution in German parliamentary debates with QLoRA-adapted large language models
https://github.com/emorynlp/elit
공식 코드https://github.com/frankxu2004/cooking-procedural-extraction
공식 코드A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos
https://github.com/gozdesahin/Subword_Semantic_Role_Labeling
공식 코드Character-Level Models versus Morphology in Semantic Role Labeling
https://github.com/hahahawu/CSAGN
공식 코드CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling
https://github.com/hahahawu/zero-shot-xcsrl
공식 코드Zero-shot Cross-lingual Conversational Semantic Role Labeling
https://github.com/heyjing/srlscore
공식 코드Evaluating Factual Consistency of Texts with Semantic Role Labeling
https://github.com/hiroki13/span-based-srl
공식 코드https://github.com/hlr/proceduralsemanticparsing
공식 코드The Role of Semantic Parsing in Understanding Procedural Text
https://github.com/jatinarora2702/Review-Information-Extraction
공식 코드Extracting Entities of Interest from Comparative Product Reviews
https://github.com/jinanzou/astock
공식 코드Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model
https://github.com/jungokasai/stagging_srl
공식 코드https://github.com/jyhong0304/visual-relationship-detection-rwfn
공식 코드https://github.com/jzbjyb/SpanRel
공식 코드Generalizing Natural Language Analysis through Span-relation Representations
https://github.com/kartikeypant/text-simplification-qa-www2021
공식 코드Text Simplification for Comprehension-based Question-Answering
https://github.com/kenchan0226/finegrainedfact
공식 코드Interpretable Automatic Fine-grained Inconsistency Detection in Text Summarization
https://github.com/lucaspk512/vrdone
공식 코드https://github.com/luheng/lsgn
공식 코드Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling
https://github.com/lyutyuh/structured-span-selector
공식 코드https://github.com/mad-red/VSR-guided-CIC
공식 코드Human-like Controllable Image Captioning with Verb-specific Semantic Roles
https://github.com/mdtux89/amr-evaluation
공식 코드https://github.com/mianzg/victim_counts
공식 코드https://github.com/michschli/graphmask
공식 코드Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
https://github.com/microth/PathLSTM
공식 코드Neural Semantic Role Labeling with Dependency Path Embeddings
https://github.com/ml4ai/scenario-context
공식 코드When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context
https://github.com/mrlamm/textual-analogy-parsing
공식 코드Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts
https://github.com/neulab/cmu-multinlp
공식 코드Generalizing Natural Language Analysis through Span-relation Representations
https://github.com/pauli31/srl-aspect-based-sentiment
공식 코드Improving Aspect-Based Sentiment with End-to-End Semantic Role Labeling Model
https://github.com/pavliclab/aaai2022-clear2022-visual_relationship_detection-rwfn
공식 코드https://github.com/person594/regccrf-experiments
공식 코드https://github.com/pkucoli/srl4il
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.