import json import requests from bs4 import BeautifulSoup SOURCE_URL = "https://aclanthology.org/events/coling-{year}/" OUTPUT_FILE = "data/coling/coling{year}_papers.jsonl" BASE_URL = "https://aclanthology.org" def fetch_page(url): headers = {"User-Agent": "Mozilla/5.0 (ACL-parser/1.0; research)"} print(f"Fetching {url} ...", flush=True) resp = requests.get(url, headers=headers, timeout=120) resp.raise_for_status() return resp.text def abs_url(href): if not href: return "" return href if href.startswith("http") else BASE_URL + href def parse_papers(html): soup = BeautifulSoup(html, "html.parser") papers = [] # Find all paper divs - each paper is in a div with class "d-sm-flex align-items-stretch mb-3" paper_divs = soup.find_all("div", class_="d-sm-flex align-items-stretch mb-3") for paper_div in paper_divs: paper = parse_paper_div(paper_div) if paper: papers.append(paper) return papers def parse_paper_div(paper_div): # Extract the paper title and URL title_element = paper_div.find("strong") if not title_element: return None title_link = title_element.find("a") if not title_link: return None title = title_link.get_text(strip=False) href = title_link.get("href", "") paper_id = href.strip("/").split("/")[-1] if href else "" url = abs_url(href) # Skip if no paper_id found if not paper_id: return None # PDF / BIB links from the button-row div pdf_url = bib_url = "" btn_row = paper_div.find("div", class_="list-button-row") if btn_row: for a in btn_row.find_all("a", href=True): text = a.get_text(strip=True).lower() h = a["href"] if text == "pdf" or h.endswith(".pdf"): pdf_url = abs_url(h) elif text == "bib" or h.endswith(".bib"): bib_url = abs_url(h) # Authors: links inside the d-block span authors = [] span = paper_div.find("span", class_="d-block") if span: for a in span.find_all("a", href=True): if "/people/" in a["href"]: authors.append(a.get_text(strip=True)) # Abstract: look for the collapse div with abstract content abstract = "" # Find the abstract ID from the button abs_button = paper_div.find("a", class_="badge text-bg-info") if abs_button and "data-bs-target" in abs_button.attrs: abs_id = abs_button["data-bs-target"].lstrip("#") # Find the abstract div using this ID abs_div = soup.find("div", id=abs_id) if abs_div: body = abs_div.find("div", class_="card-body") if body: abstract = body.get_text(strip=True) # Determine volume from paper_id volume = "" if paper_id: parts = paper_id.split(".") if len(parts) >= 2: volume = parts[1] # e.g., "acl-long" from "2023.acl-long.19" return { "paper_id": paper_id, "title": title, "authors": authors, "abstract": abstract, "url": url, "pdf_url": pdf_url, "bib_url": bib_url, } def main(): for year in range(0, 25, 2): year = f"20{year:02d}" try: html = fetch_page(SOURCE_URL.format(year=year)) print("Parsing ...", flush=True) papers = parse_papers(html) print(f"Found {len(papers)} papers. Writing to {OUTPUT_FILE.format(year=year)} ...", flush=True) with open(OUTPUT_FILE.format(year=year), "w", encoding="utf-8") as f: for p in papers: f.write(json.dumps(p, ensure_ascii=False) + "\n") print("Done") except Exception as e: print(f"Error: {e}") if __name__ == "__main__": main()