abtextsum
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pkouris
Abstractive text summarization based on deep learning and semantic content generalization
In `model.py` we have the following method which loads the static embedding for the built datasets : ``` def get_init_embedding(int2word_dict, embedding_dim, word2vec_file): word_vectors = KeyedVectors.load_word2vec_format(word2vec_file) print(f"Shape of word_vectors {word_vectors.shape}") word_vec_list...
issue is described in the title, is there a pretrained model that I can use stored on google drive or something? My system would take weeks to train if I...
Is this compatible with any kind of language? (In my case: Bangla) I have a Bengali summarization dataset. One **article.txt** file and one **summary.txt** file of those corresponding articles. If...
Traceback (most recent call last): File "build_dataset.py", line 518, in BuildDataset() File "build_dataset.py", line 39, in __init__ param.lines_per_chunk, param.read_lines) File "build_dataset.py", line 136, in build_whole_train_dataset_and_dictionary num_of_lines = self.num_of_lines_of_file(file=train_article_path) File "build_dataset.py",...
When I run "main.py" , it gives the following error : FileNotFoundError: [Errno 2] No such file or directory: 'path/to/datasets/directorytrain/train_lg100d5gigaword_article.txt' Can you help me to solve it ? Thank you...
