LucWeber · May 29, 2024 12:35 · Oct 21, 2021
diff --git a/get_citations.py b/get_citations.py
@@ -0,0 +1,40 @@
+import requests
+import sys
+import time
+
+sleep_time = 20
+def query_api(url, session):
+  global sleep_time
+  time.sleep(sleep_time / 1000.0)
+  r = session.get(url)
+  while r.status_code == 429:
+    sleep_time *= 2
+    print(
+      f'WARNING: Hit rate limit. Increasing sleep to {sleep_time} ms',
+      file=sys.stderr,
+    )
+    time.sleep(sleep_time / 1000.0)
+    r = session.get(url)
+  if r.status_code != 200:
+    print(f'WARNING: Could not access url {url}', file=sys.stderr)
+    return None
+  else:
+    return r.json()
+
+with open('s2key.txt', 'r') as f:
+  s2_key = next(f).strip()
+session = requests.Session()
+session.headers.update({'x-api-key': s2_key})
+
+def print_all_citations(conf, num_papers):
+  for pid in range(1,num_papers+1):
+    aclid=f'{conf}.{pid}'
+    s2url=f'https://api.semanticscholar.org/v1/paper/ACL:{aclid}'
+    paper_data = query_api(s2url, session)
+    if paper_data != None:
+      citations = len(paper_data['citations'])
+      print(f'{aclid}\t{citations}')
+
+# EMNLP Papers
+# print_all_citations('2020.emnlp-main', 752)
+print_all_citations('2020.findings-emnlp', 447)
diff --git a/make_lot.py b/make_lot.py
@@ -0,0 +1,53 @@
+import matplotlib
+import numpy as np
+import os
+from matplotlib import pyplot as plt 
+import sys
+
+bar_colors = ["#7293CB", "#E1974C", "#84BA5B", "#D35E60", "#808585", "#9067A7", "#AB6857", "#CCC210"]
+
+def make_bar_chart(datas,
+                   output_directory, output_fig_file, bar_names, output_fig_format='png',
+                   errs=None, title=None, xlabel=None, xticklabels=None, ylabel=None):
+  fig, ax = plt.subplots()
+  ind = np.arange(len(datas[0]))
+  width = 0.7/len(datas)
+  bars = []
+  for i, data in enumerate(datas):
+    err = errs[i] if errs != None else None
+    bars.append(ax.bar(ind+i*width, data, width, color=bar_colors[i], bottom=0, yerr=err))
+  # Set axis/title labels
+  if title is not None:
+    ax.set_title(title)
+  if xlabel is not None:
+    ax.set_xlabel(xlabel)
+  if ylabel is not None:
+    ax.set_ylabel(ylabel)
+  if xticklabels is not None:
+    ax.set_xticks(ind + width / 2)
+    ax.set_xticklabels(xticklabels)
+    plt.xticks(rotation=70)
+  else:
+    ax.xaxis.set_visible(False) 
+
+  ax.legend(bars, bar_names)
+  ax.autoscale_view()
+
+  if not os.path.exists(output_directory):
+    os.makedirs(output_directory)
+  out_file = os.path.join(output_directory, f'{output_fig_file}.{output_fig_format}')
+  plt.savefig(out_file, format=output_fig_format, bbox_inches='tight')
+
+histogram_buckets = [0,1,2,5,10,20,50,100,200,500,1000,10000]
+
+conf_data = [[0 for _ in histogram_buckets] for _ in range(2)]
+for line in sys.stdin:
+  pid, cites = line.strip().split()
+  cites = int(cites)
+  whichconf = 0 if ('emnlp-main' in pid) else 1
+  for bid, bval in enumerate(histogram_buckets):
+    if cites <= bval:
+      conf_data[whichconf][bid] += 1
+      break
+norm_data = [[float(x)/sum(y) for x in y] for y in conf_data]
+make_bar_chart(norm_data,'.','cites_diff', ['EMNLP 2020', 'EMNLP 2020 Findings'],xticklabels=[f'<={x}' for x in histogram_buckets], ylabel='ratio of papers')
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