deep-coref
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clarkkev
So, basically we have an already tokenised corpus with golden sentence segmentation, which we want to preserve. Evidently, we found this parameters : tokenize.whitespace = true ssplit.eolonly = true They...
Hi, I'm trying to train a new model. My console command: ``` java -Xmx5g -cp stanford-corenlp.jar:stanford-corenlp-models-current.jar:* edu.stanford.nlp.coref.neural.NeuralCorefDataExporter /home/PC/Desktop/Files/CoreNLP/src/edu/stanford/nlp/coref/properties/neural-turkish-conll.properties . ``` Here is my properties file: ``` coref.algorithm = neural coref.conll...
I'm reading Clark and Manning (2016) and the list of features include "String Matching Features: Head match, exact string match, and partial string match." I look at [datasets.py](https://github.com/clarkkev/deep-coref/blob/master/datasets.py) but can't...
I just followed the example, and got an error message. java.io.IOException: Unable to open "edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger" as class path, filename or URL There is no subdirectory "models"
Hello, I am studying the paper "Deep Reinforcement Learning for Mention-Ranking Coference Models" and follow the steps to train my own model. But in the third step(Run the NeuralCorefDataExporter class...
Is it possible to train the model for Russian? If possible, what should I change?
When I train the model with conll 2012 data, the dev conll score is 0.657888797045302 at the first epoch. And remain stable around 0.658. This is even better than your...
I am a master from ECNU(China), and my field is coreference resolution. I am reading your papers now, and your papers is very enlightening to me. Thank you for your...
I am trying to run an already-trained model. So can you provide the example_file.txt file format. ``` java -Xmx5g -cp stanford-corenlp-3.7.0.jar:stanford-corenlp-models-3.7.0.jar:* edu.stanford.nlp.pipeline.StanfordCoreNLP -annotators tokenize,ssplit,pos,lemma,ner,parse,mention,coref -coref.algorithm neural -file example_file.txt ```
