Coder Social home page Coder Social logo

nert-nlp / amr-bibliography Goto Github PK

View Code? Open in Web Editor NEW
35.0 35.0 20.0 1.78 MB

Organized inventory of research using the Abstract Meaning Representation

Home Page: https://nert-nlp.github.io/AMR-Bibliography/

HTML 93.19% Python 0.36% CSS 0.48% JavaScript 5.96% Batchfile 0.01%
abstract-meaning-representation amr-parsing computational-linguistics computational-semantics natural-language-processing semantic-parsing

amr-bibliography's Issues

Add row numbers

This would assign a unique index to each paper according to order in the TSV file. The main benefit would be supporting sorting to show most recent additions at the top.

Papers

Improving Neural Machine Translation with AMR Semantic Graphs
Long H. B. Nguyen , Viet H. Pham, and Dien Dinh
https://www.hindawi.com/journals/mpe/2021/9939389/

Designing a Uniform Meaning Representation for Natural Language Processing
Jens E. L. Van Gysel, Meagan Vigus, Jayeol Chun, Kenneth Lai, Sarah Moeller, Jiarui Yao, Tim O’Gorman, Andrew Cowell, William Croft, Chu-Ren Huang, Jan Hajič, James H. Martin, Stephan Oepen, Martha Palmer, James Pustejovsky, Rosa Vallejos & Nianwen Xue
https://link.springer.com/article/10.1007/s13218-021-00722-w

Broad-Coverage Semantic Parsing as Transduction
Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme
https://aclanthology.org/D19-1392/

Bootstrapping Multilingual AMR with Contextual Word Alignments
Janaki Sheth, Young-Suk Lee, Ramón Fernandez Astudillo, Tahira Naseem, Radu Florian, Salim Roukos, Todd Ward
https://aclanthology.org/2021.eacl-main.30/

ASQ: Automatically Generating Question-Answer Pairs using AMRs
Geetanjali Rakshit, Jeffrey Flanigan
https://arxiv.org/abs/2105.10023

The State of the Art in Semantic Representation
Omri Abend, Ari Rappoport
https://aclanthology.org/P17-1008/

SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation
Luigi Procopio, Rocco Tripodi, Roberto Navigli
https://aclanthology.org/P17-1008/

More papers from ACL and starsem

Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing
Yuki Yamamoto Yuji Matsumoto Taro Watanabe
https://aclanthology.org/2021.starsem-1.20.pdf

Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation
Zixuan Zhang, Nikolaus Parulian, Heng Ji,
Ahmed S. Elsayed, Skatje Myers, Martha Palmer
https://aclanthology.org/2021.acl-long.489.pdf

Incorporating EDS Graph for AMR Parsing
Ziyi Shou and Fangzhen Lin
https://aclanthology.org/2021.starsem-1.19.pdf

End-to-End AMR Coreference Resolution
Qiankun Fu, Linfeng Song, Wenyu Du, Yue Zhang
https://aclanthology.org/2021.acl-long.324.pdf

XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text Generation
Dongqin Xu, Junhui Li, Muhua Zhu, Min Zhang, Guodong Zhou
https://aclanthology.org/2021.acl-long.73.pdf

Author separators

Some entries have semicolons rather than commas separating author names, which screws up the sorting.

Paper counts

At the top of the page, it would be nice to see the number of papers associated with each tag, as well as the total number of papers.

Recomendation to pull new papers from arxiv.org search

Thanks for keeping up this list. I find it very useful and check it regularly for new papers on AMR. One thing that I've noticed however, is that an arXiv search tends to yield a number of results that aren't included on this list. An arXiv search for "Abstract Meaning Representation" results are generally 100% relevant. A search for "AMR" returns another grouping, though there are usually a number of false positives or less relevant papers in that grouping.

From the above search you might consider adding...

Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering 
Semantic Representation for Dialogue Modeling 
ASQ: Automatically Generating Question-Answer Pairs using AMRs 
Polynomial Graph Parsing with Non-Structural Reentrancies 

All of which released in the last few months.

I can certainly check both places myself, but other users may be interested in this info as well. Just something to consider.

New arXiv papers

  • Learning to Transpile AMR into SPARQL; Mihaela Bornea, Ramón Fernandez Astudillo, Tahira Naseem, Nandana Mihindukulasooriya Ibrahim Abdelaziz, Pavan Kapanipathi, Radu Florian, Salim Roukos; https://arxiv.org/pdf/2112.07877.pdf
  • Maximum Bayes Smatch Ensemble Distillation for AMR Parsing; Young-Suk Lee, Ramón Fernandez Astudillo, Thanh Lam Hoang, Tahira Naseem, Radu Florian, Salim Roukos; https://arxiv.org/pdf/2112.07790.pdf
  • DOCAMR: Multi-Sentence AMR Representation and Evaluation; Tahira Naseem,� Austin Blodgett, Sadhana Kumaravel, Tim O’Gorman, Young-Suk Lee, Jeffrey Flanigan, Ramón Fernandez Astudillo, Radu Florian, Salim Roukos, Nathan Schneider; https://arxiv.org/pdf/2112.08513.pdf

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.