The install links in requirements.txt for spacy models dont work. I had to manually install them.

Further, after installing the models, I keep getting the following error : Traceback (most recent call last): File "language-models-are-knowledge-graphs-pytorch-main/extract.py", line 3, in from mapper import Map, deduplication File "language-models-are-knowledge-graphs-pytorch-main/mapper.py", line 3, in from REL.db.generic import GenericLookup ModuleNotFoundError: No module named 'REL'

I tried installing rel which further throws the following error : pip install rel

Looking in indexes: https://pypi.org/simple Collecting rel Using cached rel-0.3.1.tar.gz (9.0 kB) ERROR: Command errored out with exit status 1: command: language-models-are-knowledge-graphs-pytorch-main/env/bin/python3 -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/private/var/folders/lg/cdx1ddsd2yz791mb004lbpg8dxjqm5/T/pip-install-07fd7ph9/rel_54cb449f7f8d4ed8871ce0cb5c419cc6/setup.py'"'"'; file='"'"'/private/var/folders/lg/cdx1ddsd2yz791mb004lbpg8dxjqm5/T/pip-install-07fd7ph9/rel_54cb449f7f8d4ed8871ce0cb5c419cc6/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' egg_info --egg-base /private/var/folders/lg/cdx1ddsd2yz791mb004lbpg8dxjqm5/T/pip-pip-egg-info-_ir2rrqc cwd: /private/var/folders/lg/cdx1ddsd2yz791mb004lbpg8dxjqm5/T/pip-install-07fd7ph9/rel_54cb449f7f8d4ed8871ce0cb5c419cc6/ Complete output (7 lines): Traceback (most recent call last): File "", line 1, in File "/private/var/folders/lg/cdx1ddsd2yz791mb004lbpg8dxjqm5/T/pip-install-07fd7ph9/rel_54cb449f7f8d4ed8871ce0cb5c419cc6/setup.py", line 1, in from rel import version File "/private/var/folders/lg/cdx1ddsd2yz791mb004lbpg8dxjqm5/T/pip-install-07fd7ph9/rel_54cb449f7f8d4ed8871ce0cb5c419cc6/rel/init.py", line 2, in from rel import override, supported_methods, initialize, read, write, timeout, signal, event, dispatch, loop, abort, init, sys, EV_PERSIST, EV_READ, EV_SIGNAL, EV_TIMEOUT, EV_WRITE ImportError: cannot import name 'override' ---------------------------------------- ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.

Any help is appreciated.

Hi, python extract.py examples/bob_dylan.txt bert-large-cased-bob_dynlan.jsonl --language_model bert-large-cased --use_cuda true wandb: WARNING W&B installed but not logged in. Run wandb login or set the WANDB_API_KEY env variable. Traceback (most recent call last): File "extract.py", line 3, in from mapper import Map, deduplication File "language-models-are-knowledge-graphs-pytorch/mapper.py", line 5, in emb = GenericLookup("entity_word_embedding", save_dir=sqlite_path, table_name="embeddings") File "anaconda3/lib/python3.6/site-packages/REL/db/generic.py", line 36, in init self.db = self.initialize_db(path_db, table_name, columns) File "anaconda3/lib/python3.6/site-packages/REL/db/base.py", line 41, in initialize_db db = sqlite3.connect(fname, isolation_level=None) sqlite3.OperationalError: unable to open database file

thanks

Hey,

I get the following error while running the extract.py file.

Traceback (most recent call last): File "extract.py", line 88, in mapped_triplet = Map(head, relations, tail) File "/Users/I535445/Desktop/Me/new/mapper.py", line 12, in Map head_p_e_m = emb.wiki(str(head), 'wiki') File "/Users/I535445/Desktop/Me/new/env1/lib/python3.8/site-packages/REL/db/generic.py", line 45, in wiki g = self.lookup_wik(mention, table_name, column_name) File "/Users/I535445/Desktop/Me/new/env1/lib/python3.8/site-packages/REL/db/base.py", line 182, in lookup_wik e = c.execute( sqlite3.OperationalError: no such table: wiki

Can someone please help ?

I am interested in using GPT as the main model as BERT is not performing too well.

Has it been implemented? Otherwise I am ready to implement it myself. Please let me know

Hello, I am a beginner in Python. I am studying hard on the code that I really need. There are several python files (utils.py, constant.py, extract.py, mapper.py, stats,py). What order should they be executed? I would really appreciate it if you let me know

When running python extract.py examples/bob_dylan.txt bert-large-cased-bob_dynlan.jsonl --language_model bert-large-cased --use_cuda true

on google collab the following error appears:

/usr/local/lib/python3.7/dist-packages/spacy/util.py:275: UserWarning: [W031] Model 'en_core_web_sm' (2.2.5) requires spaCy v2.2 and is incompatible with the current spaCy version (2.3.2). This may lead to unexpected results or runtime errors. To resolve this, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate warnings.warn(warn_msg) 2021-04-22 19:14:11.225481: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 Traceback (most recent call last): File "extract.py", line 3, in from mapper import Map, deduplication File "/content/mapper.py", line 5, in emb = GenericLookup("entity_word_embedding", save_dir=sqlite_path, table_name="embeddings") File "/usr/local/lib/python3.7/dist-packages/REL/db/generic.py", line 36, in init self.db = self.initialize_db(path_db, table_name, columns) File "/usr/local/lib/python3.7/dist-packages/REL/db/base.py", line 41, in initialize_db db = sqlite3.connect(fname, isolation_level=None) sqlite3.OperationalError: unable to open database file

Your BFS function always return an array of length 3 because of your "visited[i] == False" I don't kown it‘s a bug or you do it on purpose. Actually when I read the Beam Search part of the origin paper,I feel confuse too. Look forward to your reply

Hi black cat,

Thanks for the public implementation!

I was wondering what the function of the blacklist relation is? Seems like it removed the option that noun_chunk can be in the path, but I see no mention of this in the original paper and I also see that the underlying assumption (that noun chunk can't be relations) might be false. Was hoping you could share your perspective on this? Hopefully I am just missing a good point :)

A sidenote on the lemmatization used in filtering is also that the lemmatization is done on a word by word basis, which is flawed as lemmatization is contextually dependent for instance the lemma of meeting can either be meeting (a meeting) or meet (to meet).

Best and thanks again for the public implementation, Kenneth