text-machine-lab / entity-coref Goto Github PK
View Code? Open in Web Editor NEWEntity co-reference task, from CoNLL-2012
Entity co-reference task, from CoNLL-2012
I find the output is 12 vector in Class CorefTagger,and the final output y is a 13 vector in your paper. Are there any differences?
another question: did you test on ".auto_conll" in you paper (CONLLING 2018)
Hi,
Thank you for the source codes. It is giving error while running the train_triad.py file, while calling train function.
Please suggest the required modification.
Thanks in advance.
File "/Data/chanchal_1821cs11/entity-coref-master/src/build_data.py", line 563, in worker
X[i].append(X_triad[i])
IndexError: list index out of range
I have get the data sets from CoNLL-2012 and the rest data sets in LDC, which don't include the files that have the suffix with *_gold_conll. However I can get three files that have the suffix with *english.v4_gold_conll if I run the code in conll-2012. but it seem not suit for your profile. so ,where can i get the data sets that include the files that your profile request?
The README says:
We developed the system with Python 3.6. You also need pytorch. We used 0.4.0. You could also use Keras with TensorFlow, but we did not test the final performance on Keras. We used Keras 2.1.5 and TensorFlow 1.7.0
This is confusing - at first it seems to say you used pytorch
and didn't try Keras with Tensorflow, but then it says you did use Keras with Tensorflow?
No entities found in file: bc/phoenix/00/phoenix_0003-0
No entities found in file: bc/msnbc/00/msnbc_0007-11
No entities found in file: bc/phoenix/00/phoenix_0003-1
No entities found in file: bc/phoenix/00/phoenix_0003-2
No entities found in file: bc/phoenix/00/phoenix_0003-4
No entities found in file: bc/phoenix/00/phoenix_0003-5
No entities found in file: bc/phoenix/00/phoenix_0003-3
No entities found in file: bc/cnn/00/cnn_0008-0
No entities found in file: bc/cnn/00/cnn_0008-1
No entities found in file: bc/phoenix/00/phoenix_0003-6
No entities found in file: bc/cnn/00/cnn_0008-3
No entities found in file: bc/cnn/00/cnn_0008-2
No entities found in file: bc/cnn/00/cnn_0008-6
No entities found in file: bc/cnn/00/cnn_0008-8
No entities found in file: bc/cnn/00/cnn_0008-4
No entities found in file: bc/cnn/00/cnn_0008-7
No entities found in file: bc/cnn/00/cnn_0008-5
No entities found in file: bc/cnn/00/cnn_0008-9
No entities found in file: bc/cnn/00/cnn_0008-13
No entities found in file: bc/cnn/00/cnn_0008-12
No entities found in file: bc/cnn/00/cnn_0008-10
No entities found in file: bc/cnn/00/cnn_0008-15
No entities found in file: bc/cnn/00/cnn_0008-11
No entities found in file: bc/cnn/00/cnn_0008-14
Completed saving results!
Pairwise evaluation:
True histogram (array([0, 0, 0, 0]), array([0. , 0.25, 0.5 , 0.75, 1. ]))
Prediction histogram (array([0, 0, 0, 0]), array([0. , 0.25, 0.5 , 0.75, 1. ]))
No entities found in file: mz/sinorama/10/ectb_1009-0
No entities found in file: mz/sinorama/10/ectb_1009-3
No entities found in file: mz/sinorama/10/ectb_1009-1
Traceback (most recent call last):
File "predict.py", line 126, in
main()
File "predict.py", line 110, in main
clustering_only=args.clustering_only, compute_linkage=args.compute_linkage)
File "/home/wlk/entity-coref-master/src/evaluator.py", line 295, in write_results
print(classification_report(all_pairs_true, np.round(all_pairs_pred), digits=3))
File "/usr/local/lib/python3.5/dist-packages/sklearn/metrics/classification.py", line 1568, in classification_report
name_width = max(len(cn) for cn in target_names)
ValueError: max() arg is an empty sequence
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.