nert-nlp / amr-bibliography Goto Github PK
View Code? Open in Web Editor NEWOrganized inventory of research using the Abstract Meaning Representation
Home Page: https://nert-nlp.github.io/AMR-Bibliography/
Organized inventory of research using the Abstract Meaning Representation
Home Page: https://nert-nlp.github.io/AMR-Bibliography/
Weisfeiler-Leman in the BAMBOO: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity
Juri Opitz, Angel Daza, Anette Frank
https://arxiv.org/pdf/2108.11949.pdf
Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation
Leonardo F. R. Ribeiro†, Jonas Pfeiffer†, Yue Zhang‡ and Iryna Gurevych†
https://arxiv.org/abs/2109.03808
Representing Implicit Positive Meaning of Negated Statements in AMR
Katharina Stein, Lucia Donatelli
https://aclanthology.org/2021.law-1.3/
Classifying Divergences in Cross-lingual AMR Pairs
Shira Wein, Nathan Schneider
https://aclanthology.org/2021.law-1.6/
Intensionalizing Abstract Meaning Representations: Non-Veridicality and Scope
Gregor Williamson, Patrick Elliott, Yuxin Ji
https://aclanthology.org/2021.law-1.17/
"An in-depth look at Euclidean disk embeddings for structure preserving parsing"
to appear at EMNLP 2021
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.
An analysis of document graph construction methods for AMR summarization
Fei-Tzin Lee, Chris Kedzie, Nakul Verma, Kathleen McKeown
https://arxiv.org/pdf/2111.13993.pdf
Add once it is officially published: https://www.mitpressjournals.org/doi/abs/10.1162/COLI_a_00350
Graph-to-Graph Translations To Augment Abstract Meaning Representation Tense And Aspect
Mollie F. Bakal
https://deepblue.lib.umich.edu/bitstream/handle/2027.42/169387/bakalm.pdf?sequence=1
Update the link for the paper "Semantics-Based Machine Translation with Hyperedge Replacement Grammars" to be:
https://www.aclweb.org/anthology/C12-1083/
Manuscript: https://amr.isi.edu/damr.1.0.pdf
SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation
Luigi Procopio, Rocco Tripodi, Roberto Navigli
https://aclanthology.org/2021.naacl-main.30/
Some entries have semicolons rather than commas separating author names, which screws up the sorting.
The papers numbered 182 and 121 are identical.
etc.
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.
Comparing Czech and English AMRs
(diacritics missing) Zdenka Uresova, Jan Hajic, Ondrej Bojar
https://aclanthology.org/W14-5808v2.pdf
Update the link for the paper "Dependency and AMR Embeddings for Drug-Drug Interaction Extraction from Biomedical Literature" to be:
https://dl.acm.org/doi/pdf/10.1145/3107411.3107426
or
https://dl.acm.org/doi/10.1145/3107411.3107426
Fix the PDF link for the paper "Mapping between English Strings and Reentrant Semantic Graphs" to be:
https://www.aclweb.org/anthology/L14-1061/
This is easy to infer for ACL Anthology papers. E.g. http://aclweb.org/anthology/P18-1037 is the PDF for the paper whose BibTeX is http://aclweb.org/anthology/P18-1037.bib.
Update the link for the paper "Aligning English Strings with Abstract Meaning Representation Graphs" to be:
https://www.aclweb.org/anthology/D14-1048/
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
I'm not sure these two tags have been consistently applied, e.g. to the AM algebra work.
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.
From Requirements as AMR-like Graphs to Automata-Based Reasoning
Aurélien Lamercerie, Annie Foret
[Research Report] Université de Rennes 1. 2021.
https://hal.archives-ouvertes.fr/hal-03467064
LAW-DMR 2021 and EMNLP demo papers on AMR/UMR:
Also, find titles mentioning AMR at: https://aclanthology.org/events/emnlp-2021/
https://docs.travis-ci.com/user/languages/python/
So pushing an update to the CSV will run tsv2html.py
Improving Event Detection with Abstract Meaning Representation
https://www.aclweb.org/anthology/W15-4502/
Abstract Meaning Representation Guided Graph Encoding and Decoding for Joint Information Extraction
(accepted at NAACL 2021)
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/
In the Link(s) field, the links for papers like Pourdamghani et al. (2014) are broken.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.