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Constituency Parsing

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보존된 평가 기록: 40

Constituency parsing aims to extract a constituency-based parse tree from a sentence that represents its syntactic structure according to a phrase structure grammar.

Example:

             Sentence (S)
                 |
   +-------------+------------+
   |                          |
 Noun (N)                Verb Phrase (VP)
   |                          |
 John                 +-------+--------+
                      |                |
                    Verb (V)         Noun (N)
                      |                |
                    sees              Bill

Recent approaches convert the parse tree into a sequence following a depth-first traversal in order to be able to apply sequence-to-sequence models to it. The linearized version of the above parse tree looks as follows: (S (N) (VP V N)).

코드

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

https://github.com/DoodleJZ/HPSG-Neural-Parser

공식 코드

Head-Driven Phrase Structure Grammar Parsing on Penn Treebank

https://github.com/FilippoC/disc-span-parser-release

공식 코드

Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n^6) down to O(n^3)

https://github.com/FranxYao/Partially-Observed-TreeCRFs

공식 코드

Nested Named Entity Recognition with Partially-Observed TreeCRFs

https://github.com/GIST-IRR/Parse-Focusing

공식 코드

Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction

https://github.com/KhalilMrini/LAL-Parser

공식 코드

Rethinking Self-Attention: Towards Interpretability in Neural Parsing

https://github.com/LeonCrashCode/InOrderParser

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In-Order Transition-based Constituent Parsing

https://github.com/Nickil21/weakly-supervised-parsing

공식 코드

Co-training an Unsupervised Constituency Parser with Weak Supervision

https://github.com/YianZhang/ONLSTM-analysis

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Latent Tree Learning with Ordered Neurons: What Parses Does It Produce?

https://github.com/alexa/alexa-point-of-view-dataset

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Converting the Point of View of Messages Spoken to Virtual Assistants

https://github.com/alipay/StructuredLM_RTDT

공식 코드

Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation

https://github.com/andotalao24/multistage-collaborative-knowledge-distillation

공식 코드

Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation

https://github.com/anshuln/Diora_with_rules

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Rule Augmented Unsupervised Constituency Parsing

https://github.com/ant-research/structuredlm_rtdt

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Augmenting Transformers with Recursively Composed Multi-grained Representations

https://github.com/clab/rnng

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Recurrent Neural Network Grammars

https://github.com/cuhksz-nlp/SAPar

공식 코드

Improving Constituency Parsing with Span Attention

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

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

https://github.com/dgaddy/parser-analysis

공식 코드

What's Going On in Neural Constituency Parsers? An Analysis

https://github.com/dpfried/rnng-bert

공식 코드

Cross-Domain Generalization of Neural Constituency Parsers

https://github.com/emorynlp/elit

공식 코드

ELIT: Emory Language and Information Toolkit

https://github.com/epfl-dlab/gcd

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Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning

https://github.com/epfl-dlab/sketchgcd

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Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access

https://github.com/explorerfreda/struct-iou

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Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing

https://github.com/ghazalkhalighinejad/approximating-cky

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Approximating CKY with Transformers

https://github.com/google-research/google-research/tree/master/structformer

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StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling

https://github.com/harvardnlp/compound-pcfg

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Compound Probabilistic Context-Free Grammars for Grammar Induction

https://github.com/harvardnlp/urnng

공식 코드

Unsupervised Recurrent Neural Network Grammars

https://github.com/hkulyc/legalai

공식 코드

Court Judgement Labeling Using Topic Modeling and Syntactic Parsing

https://github.com/iesl/diora

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Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders

https://github.com/iesl/distantly-supervised-diora

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Improved Latent Tree Induction with Distant Supervision via Span Constraints

https://github.com/jhcross/span-parser

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Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles

https://github.com/jianlingl/llm_st_constparsing

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LLM-enhanced Self-training for Cross-domain Constituency Parsing

https://github.com/jkkummerfeld/1ec-graph-parser

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Parsing with Traces: An $O(n^4)$ Algorithm and a Structural Representation

https://github.com/junjiechen-chris/improving-unsupervised-constituency-parsing-via-maximizing-semantic-information

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Improving Unsupervised Constituency Parsing via Maximizing Semantic Information

https://github.com/jxhe/struct-learning-with-flow

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Unsupervised Learning of Syntactic Structure with Invertible Neural Projections

https://github.com/jzbjyb/SpanRel

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Generalizing Natural Language Analysis through Span-relation Representations

https://github.com/kulkarniadithya/cptam

공식 코드

CPTAM: Constituency Parse Tree Aggregation Method

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