Semantic Role Labeling Via Integer Linear Programming Inference
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Summary
A system that combines a machine learning technique with an inference procedure based on integer linear programming that supports the incorporation of linguistic and structural constraints into the decision process for semantic role labeling is presented.
- Type
- article
- Published
- 2004-08-23
- Cited by
- 200
- References
- 31
- Access
- Open access
- OpenAlex
- https://openalex.org/W2078285016
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:2969247
Keywords
Computer science, Inference, Task (project management), Semantic role labeling, Integer programming
References
- From TreeBank to PropBank
- Introduction to the CoNLL-2000 Shared Task Chunking
- Semantic Role Labeling by Tagging Syntactic Chunks
- Neural networks for pattern recognition
- Linear Concepts and Hidden Variables
- A Linear Programming Formulation for Global Inference in Natural Language Tasks
- Learning to Resolve Natural Language Ambiguities: A Unified Approach
- Introduction to the CoNLL-2001 shared task: clause identification
- Building a Large Annotated Corpus of English: The Penn Treebank
- Identifying Semantic Roles Using Combinatory Categorial Grammar
- Probabilistic Reasoning for Entity & Relation Recognition
- Use of Deep Linguistic Features for the Recognition and Labeling of Semantic Arguments
- Introduction to the CoNLL-2005 Shared Task: Semantic Role Labeling
- Using Predicate-Argument Structures for Information Extraction
- The Necessity of Parsing for Predicate Argument Recognition
- Shallow Semantic Parsing using Support Vector Machines
- Introduction to the CoNLL-2004 Shared Task: Semantic Role Labeling
- Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition
- Text Chunking based on a Generalization of Winnow
- Optimization
Cited by
- Learning via Inference over Structurally Constrained Output
- SRL TOOL: penentuan peranan semantik berasaskan heuristik dalam pemprosesan bahasa tabii
- ROBUST SEMANTIC ROLE LABELING: USING PARSING VARIATIONS AND SEMANTIC CLASSES
- Integer Programming Ensemble of Classifiers for Temporal Relations
- Adaptive graph walk based similarity measures in entity-relation graphs
- Syntax-driven argument identification and multi-argument classification for semantic role labeling
- A Two-Stage Method for Active Learning of Statistical Grammars
- Learning with Joint Inference and Latent Linguistic Structure in Graphical Models
- Fine-Grained Opinion Analysis: Structure-aware Appraoches
- Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision
- Aspect-Object Alignment with Integer Linear Programming in Opinion Mining
- Interactive Learning Protocols for Natural Language Applications
- Efficient prediction of relational structure and its application to natural language processing
- Fast, Greedy Model Minimization for Unsupervised Tagging
- Sentiment analysis with limited training data
- Elaboração textual via definição de entidades mencionadas e de perguntas relacionadas aos verbos em textos simplificados do português
- Forest-Based Semantic Role Labeling
- The Necessity of Syntactic Parsing for Semantic Role Labeling
- Automated creation of Wikipedia articles
- Semantic Argument Classification Exploiting Argument Interdependence
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