# Reference string parsing Markdown rsp_title_md = ''' ## Our Reference String Parsing tool extracts specific pieces of information from a structured citation string, such as the title, authors, and publication date. ''' rsp_str_md = ''' To **test on strings**, simply input one or more strings. ''' rsp_file_md = ''' To **test on a file**, the input can be: - A txt file which contains a reference string in each line. - A pdf file which contains a whole scientific documention without any preprocessing(including title, author, body text...). ''' # - A pdf file which contains a whole scientific document without any processing (including title, author...). ssum_str_md = ''' To **test on strings**, simply input a string. ''' ssum_file_md = ''' To **test on a file**, the input can be: - A txt file which contains the content to be summarized. - A pdf file which contains a whole scientific documention without any preprocessing(including title, author, body text...). ''' # - The **number of beams** should be **divisible** by the **number of generated summaries** for group beam search. ctrlsum_str_md = ''' To **test on strings**, simply input a string. **Note**: - Length 0 will exert no control over length. ''' ctrlsum_file_md = ''' This is the demo for **CocoSciSum**. Our Controlled Summarization tool uses advanced language models to extract key insights from your content, and condense lengthy documents and PDFs into clear, information-rich summaries. To **test on a file**, the input can be: - A txt file which contains the content to be summarized. - A pdf file which contains a whole scientific documention without any preprocessing(including title, author, body text...). ''' de_str_md = ''' To **test on strings**, please input your sentences or paragraphs. ''' de_file_md = ''' To **test on a file**, the input can be: - A txt file which contains the content to be extracted dataset mentions from. - A pdf file which contains a whole scientific documention without any preprocessing (including title, author, body text...). '''